We are seeking a highly skilled and experienced ServiceNow Lead with 5-7 years of relevant experience, specializing in Employee Workflows, particularly within HR Service Delivery (HRSD). As a senior technical team member, you will play a crucial role in configuring, developing, testing, and deploying ServiceNow applications, reports, service portal, and integrations, with a strong focus on HRSD modules like Onboarding, Offboarding, HR Services, Employee Center Portal, and Assignment Rules. Roles and Responsibilities: Participate in ServiceNow Development projects as a senior technical team member, focusing on configuring, developing, testing, and deploying ServiceNow applications, reports, service portal, and/or integrations, with a strong emphasis on HRSD modules. Document configurations, reports, and development work thoroughly. Create design documents for complex technical solutions and lead customer conversations to assist with requirements gathering processes. Assist customers with executing testing scenarios and plans. Educate customers on ServiceNow products and the solutions we create for them by delivering effective demonstrations. Engage in timely and effective written and verbal communications with customers and teammates. Collaborate with and support your teammates. Demonstrate expert understanding of technical consultant methodologies and principles. Maintain a keen understanding of the products we implement and our customer’s business. Maintain the skills required to configure and/or develop advanced ServiceNow features (e.g., Portal, Integrations, AI Search, etc.). Maintain certifications, knowledge of new features with each release, and commit to continuous learning. Attend and participate in design workshops and design activities to help ensure requirements are technically sound. Participate in story grooming and pointing sessions, ensuring a clear understanding of requirements and point stories. Participate in stand-ups and sprint retrospectives, providing solution guidance to the project team. Lead Code Promotion activities. Write well-designed, testable, efficient code. Participate in peer review testing and provide test steps used during peer review. Participate in sprint retrospectives by delivering well-prepared solution demonstrations. Participate in cutover planning and develop and implement cutover plans for solution components contained in ServiceNow update sets. Lead Knowledge Transfer sessions with customers. Support Project Managers by documenting Risks, Actions, Issues, and Key Decisions in the RAID log. Participate in pre-sales activities as needed. Mentor Associate Technical Consultants and Technical Consultants. Deliver excellence, be agile, and stay flexible. Requirements Requirements Qualifications & Skills 5-7 years of hands-on experience in ServiceNow development projects. At least 3+ years of experience in ServiceNow HR Service Delivery (HRSD). Proven technical and business process experience in leading the development and delivery of ServiceNow solutions in client environments. Strong knowledge of HR Case Management, Employee Center Pro/Portal, and Lifecycle Events. Proven experience with ServiceNow Studio, Scoped Applications, and Update Sets. ServiceNow CSA and CIS- HR Certifications. Knowledge of technical components such as LDAP, SAML/SSO, REST and SOAP API integrations that make use of these technologies. Strong understanding of JavaScript, Glide API, and ServiceNow scripting (server-side and client-side). Familiarity with ServiceNow data model, ACLs, UI policies, and Flow Designer. Experience working with Agile methodologies and tools like Jira, ServiceNow Agile 2.0. Deep knowledge and expertise in key areas of the ServiceNow platform. B.Tech in Computer Science or a related field. Ideally, experience with AI/ML technology and preferably experience with ServiceNow Virtual Agent, Predictive Intelligence, and Performance Analytics products. Soft Skills: Exceptional Communication, Collaboration, Intellectual Curiosity & Proactivity ,Strategic Thinking, Mentorship, Resilience & Adaptability Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

We are looking for a dynamic and execution-driven GCC Lead to establish and scale our Global Capability Center (GCC) operations. This role requires a strong blend of technical expertise, strategic leadership, operational excellence, and stakeholder management. The ideal candidate should have hands-on experience in either Data & AI or Salesforce ecosystem, along with exposure to multiple cloud technologies/platforms. The individual will play a critical role in building teams from scratch, defining operating models, harmonizing GCC processes with BOT (Build-Operate-Transfer) playbooks, and driving long-term growth and delivery excellence. This is a high-impact leadership role focused on setting up scalable processes, creating engineering culture, and enabling the GCC to evolve into a strategic capability hub. Key Responsibilities: GCC Setup & Strategic Growth Lead the establishment and scaling of the GCC aligned with business and technology objectives. Define and implement the GCC operating model, governance structure, and delivery framework. Partner with global leadership teams to build long-term GCC strategy, growth roadmap, and capability expansion plans. Drive organizational maturity by setting up scalable processes, metrics, and operational best practices. Support BOT transition initiatives and harmonize GCC policies with existing BOT playbooks and delivery standards. Technical Leadership Provide deep technical leadership and hands-on delivery oversight across one or more of the following domains: Data & AI Ecosystem Expertise in AI/ML engineering, Generative AI, LLM integrations, MLOps, Data Engineering, Data Governance, and Advanced Analytics. Strong experience with modern data platforms and cloud-native architectures such as Databricks, Snowflake, Azure Data Factory, Synapse, BigQuery, Redshift, Kafka, Airflow, and Spark. Understanding of model deployment, vector databases, AI orchestration frameworks, real-time data pipelines, and scalable enterprise AI solutions. Salesforce Ecosystem Strong expertise across Salesforce clouds including Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Data Cloud. Hands-on knowledge of Salesforce architecture, Apex, Lightning Web Components (LWC), OmniStudio, Flow Automation, API integrations, middleware platforms, and enterprise-scale CRM transformations. Experience driving multi-cloud Salesforce implementations with focus on scalability, security, governance, DevOps, and release management. Cloud & Enterprise Technology Landscape Strong understanding of multi-cloud environments including AWS, Azure, and GCP with exposure to cloud-native services, containerization, Kubernetes, serverless architecture, and infrastructure automation. Experience with CI/CD pipelines, DevOps practices, Infrastructure as Code (Terraform, CloudFormation), monitoring, observability, and platform engineering. Drive enterprise architecture discussions, technical governance, engineering best practices, code quality standards, security compliance, and scalable delivery frameworks. Lead adoption of modern engineering practices including automation, AI-assisted development, Agile delivery models, platform modernization, and innovation-driven solutioning. Team Building & Capability Development Build and scale high-performing engineering and delivery teams from scratch. Drive hiring strategy, talent planning, capability mapping, and workforce development. Establish a strong engineering culture focused on ownership, collaboration, learning, and accountability. Mentor leads and managers to create a future leadership pipeline within the GCC. Process & Operational Excellence Set up delivery processes, performance governance, SOPs, reporting mechanisms, and operational KPIs. Ensure alignment across recruitment, onboarding, project delivery, compliance, and employee engagement processes. Drive continuous improvement initiatives across delivery, operations, and stakeholder management. Collaborate with cross-functional teams including HR, Talent Acquisition, Finance, IT, and global business stakeholders. Stakeholder Management Act as a strategic liaison between GCC teams and global leadership, ensuring alignment with business priorities and delivery goals. Drive proactive stakeholder communication, fast decision-making, and effective resolution of operational, hiring, and delivery challenges. Define and govern SLAs, escalation frameworks, and accountability mechanisms across GCC operations and delivery functions. Present delivery updates, hiring progress, growth plans, risks, and mitigation strategies to leadership through data-driven insights. Build strong relationships with internal and external stakeholders to ensure seamless GCC operations and business alignment. Foster a high-responsiveness culture focused on execution excellence, operational efficiency, and continuous improvement. Requirements Required Skills & Qualifications 8+ years of overall experience with strong exposure to GCC/Offshore Delivery/Engineering leadership. Proven experience in setting up or scaling teams and operational processes. Strong technical expertise in either: Data & AI technologies, OR Salesforce ecosystem and cloud solutions. Exposure to multi-cloud platforms such as AWS, Azure, or GCP. Strong understanding of BOT (Build-Operate-Transfer) model and GCC operational frameworks. Experience in driving delivery governance, process transformation, and operational maturity. Excellent stakeholder management, communication, and leadership skills. Ability to operate in fast-paced, ambiguous, and growth-oriented environments. Good to Have Experience working with global stakeholders and distributed teams. Exposure to AI-led delivery transformation and automation initiatives. Prior experience in GCC setup for product engineering, consulting, or managed services organizations. Understanding of compliance, security, and organizational governance frameworks. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

We are seeking a Senior AI Engineer to lead the design and development of AI-powered accelerators that streamline and automate complex business workflows. This role centres on building reliable, production-grade Agentic systems and orchestration frameworks that improve speed, quality, and reusability across delivery and modernisation initiatives. The ideal candidate combines strong hands-on engineering capability with architectural leadership, a Forward Deployment mindset, and a passion for enabling client teams through shared accelerators, assets, and patterns. Key Responsibilities Agentic System Development Design, build, and maintain AI accelerators that enhance productivity and reduce delivery effort across complex business workflows. Develop Agentic and workflow-automation solutions including multi-agent orchestration, task routing, supervisory agents, and tool-use pipelines. Implement robust context-management strategies including retrieval pipelines, memory stores, episodic context, and session-state control. Architect reliable production systems with evaluation loops, telemetry, failure-handling, and safety/guardrail patterns. Platform Engineering & Reuse Build reusable accelerator frameworks adaptable across multiple client and delivery contexts. Establish development standards, reference implementations, and reusable patterns that compress delivery timelines and eliminate guesswork. Partner with engineering and delivery teams to adapt accelerators to live projects and real-world scenarios. Contribute to documentation, training materials, and onboarding guidance for accelerator adoption across teams. Technical Leadership Provide architectural guidance, mentorship, and code reviews for junior and mid-level engineers. Collaborate with product and delivery stakeholders to translate business workflows into automatable, scalable system designs. Advocate for reusable, forward-compatible design patterns and a culture of experimentation, evidence-based iteration, and shared learning. Forward Deployment Engineering Embed directly with GCC client teams to deploy, configure, and operationalise AI accelerators in integration environments. Act as the technical bridge between Odyssey's core platform and client-side implementation — adapting accelerators to each GCC's toolchain, data landscape, and workflow context. Diagnose integration friction points in real-world deployments and feed learnings back into the core accelerator roadmap. Train and enable client engineers to own and extend accelerators independently, reducing long-term dependency on central platform support. Collaborate with BOT's delivery and programme management teams to ensure AI accelerators are adopted with measurable impact — tracking time-to-value, usage quality, and reuse rates across engagements. Requirements Required: Experience 4+ years of professional software engineering experience, with at least 2–3 years in applied AI / LLM systems. Experience in consulting, platform engineering, or accelerator-style reusable asset development. Prior involvement in data-migration, modernisation, or analytics engineering programmes is a strong plus. Demonstrated experience in a Forward Deployment, Solutions Engineering, or embedded client-facing technical role is highly desirable. LLM & Agentic Systems Strong expertise in LLM-based application development using frameworks such as LangChain, LangGraph, Semantic Kernel, or custom orchestration. Proven experience with Agentic design patterns including: Multi-step task planning & decomposition Tool-calling / API-driven agents Workflow graphs & supervisory agents Long-running task coordination Claude Code Expertise Hands-on proficiency with Claude Code — Anthropic's Agentic coding tool — to accelerate development of AI-powered systems and accelerators. Ability to leverage Claude Code for end-to-end engineering tasks: scaffolding Agentic pipelines, writing and reviewing complex code, debugging production issues, and iterating rapidly on accelerator builds. Experience using Claude Code in team and enterprise environments, including MCP (Model Context Protocol) server integrations to connect Claude Code with internal tools, data sources, and workflows. Capability to train and guide other engineers on effective Claude Code usage patterns — maximising output quality, context management, and safe Agentic task execution. Context & Retrieval Design Deep familiarity with RAG pipelines, embedding strategies, and retrieval quality evaluation. Experience with grounding, prompt-context isolation, vector stores, and document indexing at scale. Software Engineering Fundamentals Python (primary) — testing, packaging, dependency management, and CI/CD deployment patterns. Architectural design and code quality best-practices for production AI systems. Experience designing observability and evaluation loops for AI workflows — telemetry, metrics, regression testing, and drift tracking. Integration experience with data platforms/warehouses, metadata systems, workflow tools, and REST/Microservices architectures.

We are looking for a highly skilled Software Architect with strong experience with .NET programming to join our growing Cloud Native Applications team. This role is ideal for someone with deep expertise in application design and a strong passion for collaborating with customers, partners, and cross-functional teams to drive innovation. In this role, you will work closely with engineers, architects, sales teams, and project managers to design and deliver scalable, high-impact AWS solutions. You will leverage modern technologies to help customers bring cutting-edge ideas to market. Key Responsibilities Lead architecture design and technical solutioning for cloud-native applications on AWS Translate customer requirements into well-defined technical backlogs and actionable engineering tasks Drive Agile delivery by facilitating ceremonies such as stand-ups, sprint planning, and retrospectives Collaborate with engineering teams to ensure timely and high-quality project execution Lead requirements gathering, backlog grooming, and technical discussions with stakeholders Design and implement DevOps best practices, including CI/CD pipelines, branching strategies, Infrastructure as Code, and monitoring frameworks Troubleshoot and resolve issues across development, testing, and production environments Develop and maintain production-quality code, including unit and integration tests Implement automated testing strategies across multiple levels (component, integration, system) Ensure clear documentation of architecture, design decisions, and processes Mentor and guide junior engineers while contributing as an individual contributor Stay current with emerging technologies and continuously drive innovation within the team Effectively address client queries, identify gaps in requirements, and recommend actionable next steps Deliver solutions aligned with business goals and customer outcomes Align cross-functional stakeholders on technical priorities and deliverables Navigate diverse perspectives to drive consensus and progress Simplify complex technical concepts for non-technical audiences Adapt communication style based on audience and context Requirements Required Qualifications Bachelor’s degree in Computer Science or a related field (or equivalent experience) 8+ years of experience in software development and cloud-native systems Strong foundation in scalable system design and modern engineering practices Experience with front-end technologies (HTML, CSS) and frameworks such as React, Angular, or Vue Proven strength in modern .NET programming Proficiency in backend development using languages like Python, Node.js, Ruby, or PHP Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB) Strong understanding of API design and integrations across systems Familiarity with modern architectures (microservices, event-driven systems, message queues) Hands-on experience with at least one major cloud platform (AWS preferred) Experience configuring and managing AWS services Working knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code Exposure to Generative AI technologies and modern developer productivity tools Proven ability to lead workstreams while contributing individually Preferred Qualifications Experience with automated testing frameworks and strategies Exposure to UI/UX principles Familiarity with Large Language Models (LLMs) and Generative AI applications Experience with developer productivity tools such as GitHub Copilot, Amazon Q Developer, or Cursor Hands-on experience building and maintaining CI/CD pipelines Experience with Infrastructure as Code tools (Terraform, CloudFormation, SAM) Familiarity with legacy .NET Framework syntax and paradigms Signs You May Be a Great Fit Impact: Drive the design and delivery of scalable cloud solutions for diverse, forward-thinking customers Ownership: Thrive in a high-ownership role balancing architecture, coding, and delivery leadership Collaboration: Enjoy working cross-functionally with engineering, product, and business teams Growth: Continuously learn new technologies and evolve toward senior architecture and leadership roles

We are looking for an L&D Specialist with strong instructional design expertise and hands-on learning operations experience to design, deliver, and run impactful learning programmes for our GDC clients and internal teams. In this role, you will work closely with the Senior L&D Partner to translate training needs into structured learning journeys — managing the LMS, facilitating sessions, and owning specific programmes end to end. You will not just support; you will lead. This position requires a strong combination of instructional design skills, L&D operations capability, and a genuine interest in AI-augmented learning. You should be equally comfortable in a workshop room and a spreadsheet, and motivated by working in a fast-moving, culture-first environment. Key Responsibilities Instructional Design and Content Build instructional content using frameworks such as ADDIE and Bloom's Taxonomy across digital and in-person formats Design and deliver learning programmes for GCC cohorts - onboarding, functional skills, and targeted capability tracks Translate training needs analysis inputs from the Senior L&D Partner into structured, ready-to-deliver learning journeys Develop assessments, workbooks, facilitator guides, and job aids that reinforce learning L&D Operations Manage day-to-day LMS operations - content uploads, learner enrolments, completion tracking, and reporting Maintain programme calendars, attendance records, and feedback data Run compliance training programmes including Information Security, data privacy and Code of Conduct Track learning metrics and prepare reports for the Senior L&D Partner and stakeholders AI in L&D Use AI tools including to generate content, personalise learning pathways, and reduce manual build time Explore and test emerging AI-augmented tools for content creation and learner engagement, developing learning pedagogy Support the team in building comfort with AI-assisted learning practices Facilitation and Coordination Facilitate training sessions, workshops, and cohort-based programmes across functions and levels Coordinate logistics for learning events - scheduling, communication, materials, and follow-up Support talent acquisition through structured interview frameworks and competency evaluation Requirements Requirements Required Qualifications 4–6 years of experience in Learning & Development, HR, or a Talent function. Demonstrated experience designing and delivering blended or cohort-based programmes. Hands-on LMS administration and reporting experience. Confidence using AI tools for content creation or learning delivery. Strong facilitation and communication skills — written and verbal. Ability to work independently, prioritise, and manage multiple workstreams simultaneously. Deep knowledge of: Instructional design methodologies — ADDIE, Bloom's Taxonomy, Kirkpatrick Model. LMS platforms — administration, reporting, and learner management Compliance training frameworks — Information Security, Data Privacy, Code of Conduct. Strong experience with: Content development tools and rapid authoring platforms. Learning analytics and data-driven programme improvement. AI tools for L&D content generation and pathway personalisation. Exposure to GDC, BPO, or consulting environments is advantageous. Experience working in Agile or fast-paced delivery environments. Strong analytical thinking and structured problem-solving abilities. Preferred Skills Certification in L&D — ATD, CIPD, or equivalent Experience with rapid authoring tools such as Articulate 360 or Rise. Exposure to psychometric tools — DISC, Hogan, or 16PF. Familiarity with ServiceNow, Salesforce, or similar enterprise tech platforms. Ability to design scalable, blended learning programmes for global or distributed teams. Strong stakeholder management and consulting skills in client-facing environments. Excellent documentation and presentation abilities Prior experience in a start-up or high-growth consulting environment. Self-driven, with the ability to lead learning conversations and influence programme direction. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that

We are seeking a Senior Salesforce Developer to join our client-facing delivery teams and lead the design and development of scalable Salesforce solutions. In this role, you will work closely with architects, business stakeholders, and engineers to build high-quality, performant, and secure applications on the Salesforce platform. You will play a key role in technical design, development leadership, and delivery execution, while contributing to reusable frameworks, best practices, and engineering standards across our Salesforce ecosystem. Key Responsibilities Solution Design & Development ● Design and implement scalable Salesforce solutions using Apex, Visualforce, Lightning Components, and Lightning Web Components (LWC) ● Translate business requirements into robust technical designs and implementations ● Optimize existing Salesforce implementations for performance, scalability, and maintainability Technical Leadership & Code Quality ● Review and approve technical designs and code written by development teams ● Conduct code reviews to ensure adherence to coding standards and security best practices ● Establish and promote development standards and best practices ● Mentor and guide junior developers, fostering knowledge sharing and technical growth Integration & Architecture ● Develop and manage integrations between Salesforce and external systems using APIs and middleware ● Contribute to enterprise architecture discussions and solution design decisions ● Ensure scalable and secure integration patterns across systems Collaboration & Delivery ● Collaborate with stakeholders to understand business requirements and translate them into technical solutions ● Support presales efforts with technical architecture and solution design inputs ● Work closely with cross-functional teams across Salesforce, cloud, and integration layers Requirements Required Qualifications & Skills ● Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s preferred) ● 6+ years of experience in Salesforce development with strong hands-on experience with: - Apex, Visualforce, Lightning Components, Lightning Web Components (LWC) - Salesforce customization (workflows, process builder, validation rules, automation) ● Experience with: - Salesforce APIs and enterprise-scale integrations - Building scalable and high-performance Salesforce applications ● Salesforce certifications: Platform Developer II, Platform App Builder ● Willingness to support in NA shift ● Proven ability to mentor and lead development teams ● Strong problem-solving, analytical, and communication skills ● Experience with Salesforce DX and version control (Git), CI/CD pipelines and DevOps practices and AWS integrations and cloud-native architectures is preferred. Signs You May Be a Great Fit ● Impact: Play a key role in building high-quality Salesforce solutions that drive business outcomes ● Culture: Thrive in a collaborative, high-ownership, and engineering-driven environment ● Growth: Access continuous learning, mentorship, and opportunities to move into architecture roles ● Benefits: Competitive compensation, flexible work, and growth-focused culture

We are seeking a talented Senior Engineer with 2+ years of hands-on experience to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise building a variety of cloud solutions and is passionate about working with our customers, partners, and employees to drive the business forward. This role is suited for someone passionate about building robust, scalable solutions that drive business impact. The successful candidate will play a key role in the full software development lifecycle within the AWS ecosystem.This includes analyzing requirements, designing scalable solutions, writing clean and efficient code, integrating third-party systems, and ensuring performance and security best practices. The role involves close collaboration with cross-functional teams to ensure the delivery of impactful, user-friendly to deliver AWS cloud solutions across our diverse and innovative customer base. You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market. Key Responsibilities: ● Developing Infrastructure-as-Code (IaC) using Terraform, CDK, or Pulumi. ● Developing CI/CD pipelines. ● Working closely with customer engineers building the solutions described in the project backlog. ● Developing custom automation (Bash / Powershell / Lambda functions). ● Troubleshooting system and deployment issues. Requirements Qualifications & Skills ● Bachelor's degree in Computer Science, Engineering, or a related technical field. ● 2+ years of experience as a Cloud Engineer, with a proven track record of delivering successful projects on the Cloud platform. ● Expert understanding of cloud infrastructure and implementing Infrastructure-as-Code(IaC). ● Expert understanding of working with, building CI/CD pipelines and GitOps methodology. ● Excellent knowledge of containerization, Kubernetes, or other container management platforms. ● Proficient in Networking and IAM security. ● Proficient with any of: Python, Go, C#, Node.js. ● Great understanding of Agile project delivery. ● Great verbal and written communication skills. ● Enthusiasm for working in a startup environment and the ability to be cross-functional. ● Possess a natural curiosity and excitement for learning new technology ● Experience in a some of the following: ● CICD ● IaC (Terraform, Cloudformation, AWS CDK, Pulumi, etc) ● Scripting ● Containers (Kubernetes, Docker, ECS, Fargate, etc) ● Cloud Security Best Practices ● Networking ● Incident, release, problem and change management processes ● Experience working in a client-facing environment. ● Experience working on agile projects. ● Consultancy/advisory experience. ● Willingness to work flexible shifts to support customers in different time zones. Signs You May Be a Great Fit ● Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. ● Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. ● Growth: Access professional development opportunities, and mentorship from experienced peers. ● Benefits: Competitive salary, wellness packages, and flexible work arrangements that

We are seeking an experienced ServiceNow Developer with hands-on experience in designing, developing, and implementing ServiceNow solutions. The ideal candidate should have strong expertise in ServiceNow platform configuration, custom development, integrations, and ITSM processes, with the ability to work closely with stakeholders to deliver scalable and high-quality solutions. Key Responsibilities Design, develop, and customize ServiceNow applications and modules. Configure and customize ITSM modules such as Incident, Problem, Change, Request, and CMDB. Develop Business Rules, Client Scripts, UI Policies, UI Actions, Script Includes, and ACLs. Build and maintain Service Catalogue items, workflows, and Flow Designer solutions. Develop integrations using REST/SOAP APIs, MID Server, and third-party tools. Implement ServiceNow best practices, including performance optimization and security. Work on CMDB data modelling, discovery, and data integrity. Support ServiceNow upgrades, patching, and platform enhancements. Collaborate with business analysts, architects, and stakeholders to gather requirements and deliver solutions. Provide production support, troubleshooting, and root-cause analysis. Maintain technical documentation and follow SDLC and ITIL processes. Requirements Required Skills & Qualifications 5+ years of hands-on experience in ServiceNow development projects. Strong experience with ServiceNow ITSM, ITOM, ITBM, HRSD, or CSM modules. Proven technical and business process experience in leading the development and delivery of ServiceNow solutions in client environments. ServiceNow certifications (CSA, CAD, CIS – ITSM/ITOM). Proficiency in JavaScript, Glide APIs, and ServiceNow scripting. Experience with Flow Designer, Workflow Editor, and Service Catalogue. Hands-on experience with REST/SOAP integrations. Strong understanding of CMDB, CSDM, and Discovery. Experience with Access Controls (ACLs) and platform security. Familiarity with ITIL v3/v4 concepts. Experience working in Agile/Scrum environments. Experience with Performance Analytics and Reporting. Exposure to DevOps, CI/CD, or automated testing in ServiceNow. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

Job Summary AllCloud is seeking an experienced and visionary CloudOps Lead with deep AWS expertise and strong people-management capabilities. This is a hands-on leadership role that combines technical ownership with team leadership. You will be responsible for defining cloud operational strategy, driving execution excellence, and managing a multi-tier CloudOps team. As the CloudOps Lead, you will own the end-to-end operational excellence of AWS environments—ensuring reliability, security, scalability, and cost efficiency. You will establish automated guardrails, enable 24/7 operations, and leverage AI-driven insights to proactively manage cloud infrastructure. Key Responsibilities Lead, mentor, and grow a team of Cloud engineers, fostering a culture of technical excellence, continuous learning, and collaboration. Provide technical oversight and architectural guidance across all projects, ensuring solutions are robust, scalable, and secure. Act as the primary technical point of contact for key client engagements, translating complex business requirements into actionable technical roadmaps. Drive the strategic direction of the team’s technical capabilities Integrate and optimize AWS services including:CloudWatch, CloudTrail, IAM, AWS Config, Lambda, and AI/ML services Design and implement automated guardrails for: Configuration drift detection Security and compliance enforcement Cost controls and anomaly detection Ensure governance across multi-account AWS environments Drive infrastructure observability, proactive alerting, and automated remediation Enable event-driven and self-healing cloud operations Define and own SLAs, SLOs, error budgets, and operational KPIs Lead incident response, root cause analysis (RCA), and post-incident reviews Align CloudOps practices with SRE and DevOps principles to reduce toil. Partner with DevOps, Security, Architecture, and Engineering teams on cloud strategy and governance Lead continuous improvement initiatives using AIOps, analytics, and automation Drive operational maturity, standardization, and documentation Lead, mentor, and scale CloudOps L1/L2/L3 teams supporting 24/7 cloud operations Define operating models, runbooks, escalation paths, and on-call practices Act as the primary decision-maker for operational trade-offs and risk mitigation Requirements Required Skills & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 6+ years of hands-on experience designing, operating, and optimizing AWS cloud environments Proven experience in a technical leadership or people-management role Deep expertise in AWS services including: EC2, S3, RDS, VPC, IAM, Lambda, API Gateway, ECS/EKS Strong experience with Infrastructure as Code (Terraform, CloudFormation, CDK) Solid understanding of AWS security, networking, identity, and access management Hands-on experience with automation, CI/CD pipelines, and DevOps practices Ability to make sound technical decisions under ambiguity and competing priorities Strong communication, stakeholder management, and problem-solving skills AWS Certifications (Solutions Architect – Professional, DevOps Engineer, or equivalent) Experience with microservices, event-driven architectures, serverless, and containers Experience working in start-up or fast-paced product environments Contributions to the cloud community (blogs, talks, open-source, forums) Willingness to support teams and customers across multiple time zones Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

We are seeking a Data Architect to join our client-facing delivery teams and lead the design and delivery of enterprise-scale, cloud-native data platforms and modernization programs. In this role, you will work closely with business stakeholders, architects, and engineering teams to define architecture strategy and drive high-impact data platform implementations. You will play a key role in solution architecture, technical leadership, and strategic consulting, while contributing to reusable frameworks, best practices, and innovation across our data ecosystem. Key Responsibilities Platform Architecture & Design End-to-end design of modern data platform architectures including lakehouse, ingestion, processing, and access layers Architect scalable, cloud-native systems optimized for performance, cost, and reliability Design advanced distributed processing and streaming architectures Define platform security, networking, and automation strategies Drive FinOps-aligned architecture design and cost estimation practices Migration & Modernization Lead multi-database migration and modernization initiatives from assessment to go-live Apply deep expertise in OLTP/OLAP system design, schema evolution, and data model transformation Implement advanced performance tuning, HA/DR, and security patterns Architect cloud-native database solutions across managed services Develop migration strategies, cutover planning, and risk mitigation frameworks Technical Leadership & Delivery Ensure technical viability, scalability, and production readiness across all data platform deliverables Communicate architectural decisions and trade-offs clearly to both technical and business audiences Produce architectural documentation, assessments, and roadmaps Enforce architecture standards and documentation practices Guide teams through complex data challenges and ensure delivery excellence Infrastructure, Automation & Standards Define and enforce IaC and automation strategy across data platform deployments Establish architecture standards, reusable design patterns, and reference architectures Contribute to internal capability building and knowledge sharing initiatives Requirements Requirements Required Qualifications & Skills 8+ years of experience in data engineering, database engineering, or architecture roles 4+ years designing and delivering cloud-based data solutions Strong expertise in: Modern data platform architecture (lakehouse, medallion, ingestion-to-access layers) Cloud-native database services and managed platforms Distributed processing and streaming architecture design OLTP/OLAP design, schema evolution, and data modeling Hands-on experience with: AWS cloud services for data platforms — including S3, Glue, Redshift, EMR, Kinesis, Athena, Lake Formation, and RDS/Aurora Infrastructure-as-Code (Terraform, CloudFormation, AWS CDK, or equivalent) Platform security, networking, and cloud automation on AWS FinOps-aligned architecture and cost optimization Excellent communication and stakeholder management skills Advanced English proficiency — minimum C1 level Preferred / Nice-to-Have Experience with: HA/DR design and implementation across cloud database platforms Multi-cloud or hybrid cloud data architectures Scripting and automation (Python, Bash, or equivalent) Agile delivery environments and iterative architecture practices Familiarity with data governance, cataloging, and lineage frameworks Experience contributing to technical thought leadership or pre-sales activities Signs You May Be a Great Fit Impact: Drive high-impact data platform solutions for enterprise clients Culture: Thrive in a collaborative, high-ownership, and consulting-driven environment Growth: Access continuous learning and leadership opportunities in data architecture Benefits: Competitive compensation, flexible work, and growth-focused culture

We are seeking a ServiceNow Architect to join our delivery teams and lead the design and implementation of scalable, enterprise-grade ServiceNow solutions. In this role, you will work closely with stakeholders, business teams, and engineers to translate complex requirements into robust platform architectures and ensure successful delivery across programs. You will play a key role in solution architecture, platform strategy, and delivery leadership, while contributing to reusable frameworks, governance standards, and best practices within our ServiceNow ecosystem. Additionally, you will drive innovation by leveraging ServiceNow AI capabilities, including Now Assist and AI Agents, to enhance automation, user experience, and operational efficiency. Key Responsibilities Solution Architecture & Design Design and architect scalable ServiceNow solutions across multiple modules and business domains Define end-to-end architecture aligned with ServiceNow best practices and platform capabilities Lead architecture discussions and provide guidance on platform design, data models, and integrations Ensure solutions are scalable, secure, and aligned with enterprise architecture standards Incorporate AI-driven capabilities (Now Assist, Virtual Agents, AI Agents) into solution design to improve productivity and experience Platform Implementation & Optimization Oversee implementation across key ServiceNow modules such as ITSM, CSM, FSM and CSDM-aligned architectures Guide teams on configuration, customization, and platform capabilities Optimize existing implementations for performance, scalability, and maintainability Ensure adherence to ServiceNow development and governance standards Drive adoption of GenAI features like Now Assist for summarization, content generation, and workflow acceleration Design and implement AI-powered solutions using Now Assist and ServiceNow AI Agents Build and guide teams in developing intelligent virtual agents, conversational workflows, and automation use cases Integration & Data Architecture Define and implement integration strategies between ServiceNow and external systems Work with APIs, middleware, and event-driven architectures for seamless connectivity Establish data models aligned with CSDM (Common Service Data Model) Ensure proper data governance, lineage, and consistency across systems Delivery Leadership & Collaboration Collaborate with stakeholders to understand business requirements and translate them into technical solutions Lead solution design workshops, architecture reviews, and technical decision-making Support presales activities with solution architecture, estimations, and proposals Act as a bridge between business stakeholders, architects, and delivery teams Governance & Best Practices Establish and enforce platform governance, security, and development standards Drive adoption of CSDM frameworks and ServiceNow best practices Mentor and guide developers and consultants across ServiceNow implementations Contribute to reusable assets, reference architectures, and implementation patterns Requirements Required Qualifications & Skills Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s preferred) 8+ years of experience in ServiceNow, including solution architecture roles Strong experience with ITSM, CSM, CSDM and Core ServiceNow platform capabilities Experience with: ServiceNow platform architecture and enterprise implementation. Data modeling and platform design aligned with CSDM Integration patterns using APIs and middleware ServiceNow configuration and customization Strong understanding of platform governance, security, and best practices Excellent problem-solving, analytical, and communication skills Experience working in client-facing or consulting environments Certifications Certified System Administrator (CSA) Certified Implementation Specialist – ITSM Certified Implementation Specialist – CSM\ Certified Application Developer (CAD)\ Certified Technical Architect (CTA) (highly preferred) Certified Master Architect (CMA) (optional/advanced) Preferred Skills: Experience with: ServiceNow integrations with enterprise systems Agile delivery environments and DevOps practices Cloud platforms (AWS, Azure) Advanced modules such as ITOM, HRSD, or SecOps Signs You May Be a Great Fit Impact: Play a pivotal role in designing and delivering enterprise-scale ServiceNow solutions Culture: Thrive in a collaborative, high-ownership, and innovation-driven environment Growth: Access continuous learning, certifications, and opportunities to move into enterprise architecture roles Benefits: Competitive compensation, flexible work, and growth-focused culture

We are seeking a highly skilled and experienced ServiceNow Developer with 4-6 years of relevant experience, specializing in Employee Workflows, particularly within HR Service Delivery (HRSD). As a senior technical team member, you will play a crucial role in configuring, developing, testing, and deploying ServiceNow applications, reports, service portal, and integrations, with a strong focus on HRSD modules like Onboarding, Offboarding, HR Services, Employee Center Portal, and Assignment Rules. Roles and Responsibilities: Participate in ServiceNow Development projects as a senior technical team member, focusing on configuring, developing, testing, and deploying ServiceNow applications, reports, service portal, and/or integrations, with a strong emphasis on HRSD modules. Document configurations, reports, and development work thoroughly. Create design documents for complex technical solutions and lead customer conversations to assist with requirements gathering processes. Assist customers with executing testing scenarios and plans. Educate customers on ServiceNow products and the solutions we create for them by delivering effective demonstrations. Engage in timely and effective written and verbal communications with customers and teammates. Collaborate with and support your teammates. Demonstrate expert understanding of technical consultant methodologies and principles. Maintain a keen understanding of the products we implement and our customer’s business. Maintain the skills required to configure and/or develop advanced ServiceNow features (e.g., Portal, Integrations, AI Search, etc.). Maintain certifications, knowledge of new features with each release, and commit to continuous learning. Attend and participate in design workshops and design activities to help ensure requirements are technically sound. Participate in story grooming and pointing sessions, ensuring a clear understanding of requirements and point stories. Participate in stand-ups and sprint retrospectives, providing solution guidance to the project team. Lead Code Promotion activities. Write well-designed, testable, efficient code. Participate in peer review testing and provide test steps used during peer review. Participate in sprint retrospectives by delivering well-prepared solution demonstrations. Participate in cutover planning and develop and implement cutover plans for solution components contained in ServiceNow update sets. Lead Knowledge Transfer sessions with customers. Support Project Managers by documenting Risks, Actions, Issues, and Key Decisions in the RAID log. Participate in pre-sales activities as needed. Mentor Associate Technical Consultants and Technical Consultants. Deliver excellence, be agile, and stay flexible. Requirements Qualifications & Skills 4-6 years of hands-on experience in ServiceNow development projects. At least 3+ years of experience in ServiceNow HR Service Delivery (HRSD). Proven technical and business process experience in leading the development and delivery of ServiceNow solutions in client environments. Strong knowledge of HR Case Management, Employee Center Pro/Portal, and Lifecycle Events. Proven experience with ServiceNow Studio, Scoped Applications, and Update Sets. ServiceNow CSA and CIS- HR Certifications. Knowledge of technical components such as LDAP, SAML/SSO, REST and SOAP API integrations that make use of these technologies. Strong understanding of JavaScript, Glide API, and ServiceNow scripting (server-side and client-side). Familiarity with ServiceNow data model, ACLs, UI policies, and Flow Designer. Experience working with Agile methodologies and tools like Jira, ServiceNow Agile 2.0. Deep knowledge and expertise in key areas of the ServiceNow platform. B.Tech in Computer Science or a related field. Ideally, experience with AI/ML technology and preferably experience with ServiceNow Virtual Agent, Predictive Intelligence, and Performance Analytics products. Soft Skills: Exceptional Communication, Collaboration, Intellectual Curiosity & Proactivity ,Strategic Thinking, Mentorship, Resilience & Adaptability Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

We are seeking an experienced ServiceNow Solution Architect with deep specialization in HR Service Delivery (HRSD) to lead enterprise-scale implementations and strategic client engagements. This role is ideal for a platform expert who has successfully architected end-to-end HRSD solutions, while also understanding how HR workflows integrate with ITSM, CSM, and other enterprise functions. Roles and Responsibilities Lead architecture and delivery of HRSD implementations, ensuring scalable design across COEs, HR Services, Case Management, Knowledge, and Employee Journeys (Lifecycle Events). Partner with HR stakeholders to redesign and digitize processes such as onboarding, offboarding, employee transitions, and HR inquiries, ensuring measurable improvements in employee experience and operational efficiency. Develop solution blueprints, TDDs, and data models with a strong emphasis on HR data privacy, security, and compliance. Conduct workshops to translate HR business requirements into scalable ServiceNow solutions. Own the strategy and implementation of Employee Center / Employee Center Pro, including personalization, knowledge integration, and intuitive self-service experiences. Ensure proper design of HR data segregation, role-based access controls, and compliance frameworks aligned with enterprise and regulatory standards. Now Assist for HRSD: Implement generative AI to enhance case summarization, knowledge creation, and agent productivity. AI Agents & Virtual Agent: Automate employee interactions and HR query resolution. AI Search: Optimize knowledge discovery and contextual search experiences for employees Process Automation Designer: Drive complex HR workflows and lifecycle automation Design integrations between HRSD and systems such as HRMS (Workday, SAP SuccessFactors), Identity systems, and ITSM, ensuring seamless employee lifecycle orchestration. Enable integration of HRSD with ITSM (employee IT onboarding), CSM, and FSM where required, while maintaining HRSD as the core domain. Act as a trusted advisor to CHROs, HR leaders, and business stakeholders, providing guidance on HR digital transformation, ServiceNow roadmap, and best practices. Establish standards for HRSD configurations, data security, update sets, and instance management, ensuring long-term scalability and maintainability. Mentor consultants, conduct code reviews, and ensure adherence to agile methodologies and delivery excellence. Support HRSD-focused solutioning, effort estimation, and PoCs during the sales cycle. Requirements Skills & Qualifications Bachelor’s degree in Engineering/Computer Science or equivalent 8+ years of ServiceNow experience with strong specialization in HRSD Minimum 3+ years in Architect/Lead role delivering HRSD solutions Proven experience in end-to-end HRSD implementations in consulting environments Deep understanding of HR operating models and employee experience design Strong knowledge of CSDM with HRSD alignment Expertise in secure and compliant HR data handling Experience with Agile/Scrum delivery models Technical Expertise ● HRSD Core Expertise (Mandatory): COE structure, HR Services, Case Management Lifecycle Events & Employee Journeys Employee Center / Employee Center Pro HR Knowledge Management Document Management & eSign integrations ● HR Integrations: Experience integrating with Workday, SAP SuccessFactors, or similar HR systems Strong understanding of employee data flows and identity management ● Automation & AI: Virtual Agent, AI Search, Predictive Intelligence Now Assist and AI-driven HR use cases Flow Designer & Process Automation Designer ● Platform Capabilities: Strong scripting (JavaScript, Glide API) Integration Hub, REST/SOAP APIs Service Portal / UI Builder (preferred for Employee Center customization) ● Complementary Modules (Good to Have): ITSM (employee IT use cases) CSM / FSM exposure for cross-functional workflows Certifications Certified System Administrator (CSA) CIS-HRSD CIS-ITSM / CIS-CSM Certified Application Developer (CAD)

We are looking for a Senior Salesforce Developer to join our team owning end-to-end development and solution execution on the Salesforce platform. In this role, you will collaborate closely with cross-functional business stakeholders to design, build, and optimize scalable Salesforce solutions. You will be responsible for managing the platform delivery lifecycle while ensuring high standards of performance, security, and usability. This role requires a strong balance of hands-on technical expertise, stakeholder management, and an ownership mindset, as you will work directly with business teams across departments to translate requirements into impactful solutions. Key Responsibilities Solution Design & Development Design and develop scalable Salesforce solutions using Apex, Visualforce, Lightning Components, and Lightning Web Components (LWC) Own end-to-end development and delivery on the Cloudsmith Salesforce platform Translate business requirements into well-architected, maintainable solutions Enhance and optimize existing implementations for performance, scalability, and security Agentic Ownership & Developement Agentic Ecosystem Design: Lead the architecture and deployment of Salesforce Agentforce to automate complex, multi-step business processes across the organization. Command Center Orchestration: Position Salesforce as the central hub for AI, designing "actions" that allow Salesforce agents to trigger workflows and retrieve data from external tools (e.g., Gong, Slack, Outreach, LinkedIn Sales Navigator). Data Grounding & Strategy: Architect Salesforce Data Cloud to ensure agents are "grounded" in real-time, high-quality metadata, preventing hallucinations and ensuring brand-aligned outputs. Custom Tooling: Develop custom Apex actions and Lightning Web Components (LWC) to extend agent capabilities beyond out-of-the-box functionality. Governance & Guardrails: Establish the security framework and ethical guardrails for AI agents to ensure they operate safely within our business logic and compliance standards. Platform Ownership (IC Role) Take full ownership of development, customization, and enhancements on the Salesforce platform Manage releases, deployments, and environment coordination Ensure system stability, performance, and adherence to best practices Integration & Architecture Build and manage integrations between Salesforce and external systems using REST/SOAP APIs and middleware Collaborate with architects on solution design and enterprise architecture decisions Ensure secure, scalable integration patterns Stakeholder Management & Client Collaboration Work directly with business stakeholders across departments to gather and refine requirements Act as a bridge between technical teams and business users Participate in client discussions, solution walkthroughs, and delivery updates Support presales and solutioning discussions when required Code Quality & Best Practices Write clean, efficient, and reusable code following Salesforce best practices Conduct code reviews and ensure adherence to security and compliance standards Contribute to reusable components, frameworks, and engineering standards Requirements Required Qualifications & Skills Bachelor’s degree in Computer Science, Information Systems, or a related field 5+ years of hands-on Salesforce development experience Strong expertise in: Apex, Visualforce Lightning Components & Lightning Web Components (LWC) Salesforce configuration (Flows, validation rules, automation) Experience with Salesforce integrations (REST/SOAP APIs) Proven experience with Salesforce Prompt Builder, Model Builder, and Agentforce. Salesforce certifications: Platform Developer I, Platform Developer II and Platform App Builder Experience with: Salesforce DX, Git, and version control CI/CD tools (Copado, Gearset, Jenkins, etc.) Cloud platforms such as AWS Proven experience working in client-facing roles Strong stakeholder management and communication skills Ability to work independently and manage end-to-end responsibilities Exposure to Agile/Scrum delivery models

We are building a team that is responsible for the developer experience. On a daily basis, we work with our customer and the developer community to ensure they are building software that is efficient and secure across the whole supply chain. Our team helps customers troubleshoot and investigate issues, diagnosing and resolving core product-related issues. We expand and enhance their experience through the development and maintenance of 3rd party integration that extends our API, CLI, and Webhook capabilities, while curating a public knowledge base to support customers to independently resolve common issues. Roles & Responsibilities: Technical Support: Provide top-notch technical support to our customers, assisting them with any product-related issues, inquiries, or challenges they may encounter. Problem Solving: Diagnose and troubleshoot technical issues, replicating them in local environments and collaborating closely with customers to identify root cause and provide effective solutions. Documentation: Create and maintain detailed documentation, including knowledge base articles and FAQs, to assist customers in resolving common issues independently. Software Expertise: Leverage your expertise in application programming to build and maintain third party integrations like Terraform, GitHub Actions, CircleCI etc. Customer Advocacy: Act as a customer advocate within the company, sharing customer feedback, feature requests, and insights with the product development team to improve our offerings. Working Hours Flexibility: Be prepared to work in shifts or on-call availability (over the weekends) to accommodate our global customer base across different time zones, including the AMER, APAC, and EMEA. Requirements Qualifications & Skills Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years in Technical Product Support, a similar role, or a background in software development. Strong application programming experience, proficient in Java, Python, or JavaScript languages. Knowledge of software packaging and distribution concepts and tools. Excellent problem-solving and troubleshooting skills. An enthusiastic and effective communicator (using English): you should be able to appeal to and communicate with both technical and non-technical listeners alike. Ability to work independently and as part of a team. Willingness to work flexible shifts to support customers in different time zones. Preferred Skills & Certifications Professional experience in building, testing, deploying, debugging, and maintaining complex systems in production environments; or equivalent experience in open-source ecosystems and projects. Familiarity with UNIX-like systems (Linux/WSL/MacOS). Familiarity with Artifact and Package management, or the software supply chain. Familiarity with Cloud-based infrastructure, data structures & algorithms, storage systems, source control, and continuous integration. Amazon Web Services (AWS) / AWS Certifications. Significant contributions to open-source projects. ReST, GraphQL, gRPC API Design. Docker, OCI, ORAS, Kubernetes (k3s, k8s). Sigstore, Cosign, Keyless Signatures, Signature Attestation. Grafeas, Kritis, Metadata Provenance. Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access to professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

We are seeking a Principal Architect to join our client-facing delivery teams and lead the design and delivery of enterprise-scale, cloud-native solutions. In this role, you will work closely with business stakeholders, architects, and engineering teams to define architecture strategy and drive high-impact AWS implementations. You will play a key role in solution architecture, technical leadership, and strategic consulting, while contributing to reusable frameworks, best practices, and innovation across our cloud ecosystem. Key Responsibilities Solution Architecture & Strategy Design and architect scalable, secure, and high-performance cloud solutions on AWS Translate business requirements into end-to-end technical architectures and roadmaps Lead discovery sessions, architecture workshops, and solution design discussions Define long-term cloud strategy and modernization approaches Technical Leadership & Delivery Act as a technical advisor and thought leader across multiple engagements Provide architectural direction across design, build, and delivery phases Guide teams through complex technical challenges and ensure delivery excellence Ensure adherence to best practices across scalability, performance, and security Cloud & Platform Engineering Architect solutions leveraging AWS services such as: API Gateway, Lambda, S3, SNS, SQS, CloudFront Design and implement serverless and distributed architectures Drive adoption of Infrastructure-as-Code (Terraform, CloudFormation, AWS CDK) Enable DevOps practices including CI/CD, automation, and containerization Stakeholder Engagement & Pre-Sales Collaborate with stakeholders to understand business goals and define solution approaches Support pre-sales through architecture design, estimation, and proposal inputs Communicate complex technical concepts to both technical and non-technical audiences Identify risks and provide strategic recommendations for mitigation Mentorship & Practice Development Mentor architects and engineers, driving technical excellence across teams Contribute to standards, reusable assets, and reference architectures Support internal capability building and knowledge sharing initiatives Represent the organization through strong technical leadership and delivery quality Requirements Required Qualifications & Skills Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred) 10+ years of experience as a Cloud Architect, preferably in consulting environments Strong expertise in: ○ AWS cloud architecture and services ○ Serverless architectures (Lambda, API Gateway, etc.) ○ Distributed systems and cloud-native design patterns Hands-on experience with: ○ Infrastructure-as-Code (Terraform, CloudFormation, AWS CDK) ○ DevOps practices and CI/CD pipelines ○ Containerization (Docker, Kubernetes, ECS, Fargate) Strong understanding of: ○ Cloud security, networking, and API design ○ Scalability, reliability, and performance optimization Excellent problem-solving, communication, and stakeholder management skills Experience working in client-facing and consulting roles Preferred / Nice-to-Have Experience with: ○ Cloud migrations and modernization programs ○ Multi-cloud environments ○ Scripting (Python, Bash, etc.) ○ Incident, release, and change management Familiarity with Agile delivery environments Experience contributing to technical thought leadership Signs You May Be a Great Fit Impact: Drive high-impact cloud solutions for enterprise clients Culture: Thrive in a collaborative, high-ownership, and consulting-driven environment Growth: Access continuous learning and leadership opportunities Benefits: Competitive compensation, flexible work, and growth-focused culture

We are looking for a high-impact Technical Business Analyst to bridge advanced AI capabilities with tangible business outcomes. This is not a traditional BA role—you will play a pivotal role in shaping how AI drives efficiency, revenue, and competitive advantage across the organization. Working at the intersection of Data Science, Engineering, and Business Leadership, you will translate emerging AI possibilities into scalable, production-ready solutions that deliver measurable ROI. You will actively contribute to enterprise-wide transformation initiatives, influencing both strategy and execution. Key Responsibilities Strategic Roadmapping Identify and prioritize high-value opportunities for AI/ML adoption (e.g., Generative AI, predictive analytics, process automation) in collaboration with cross-functional stakeholders. Technical Translation Convert complex and ambiguous business needs into clear technical artifacts, including user stories, functional specifications, and data flow diagrams. Process Transformation & Gap Analysis Analyze current business processes and design optimized, AI-enabled workflows to improve efficiency, reduce costs, and enhance user experience. Data Governance & Responsible AI Partner with legal, compliance, and security teams to ensure adherence to data privacy, governance, and ethical AI standards. Value Realization & Performance Tracking Define KPIs and success metrics; ensure AI initiatives progress beyond proof-of-concept to scalable, production-grade deployments with measurable impact. Change Enablement Drive adoption of AI solutions by working closely with business teams, simplifying complex concepts, and minimizing resistance during transitions. Requirements Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Data Analytics, Business, or a related field 5+ years of experience as a Technical Business Analyst At least 2 years of experience working on AI/ML or digital transformation initiatives Strong understanding of the AI/ML lifecycle (data ingestion, feature engineering, model development, deployment, and monitoring) Familiarity with Generative AI, NLP, and/or Computer Vision use cases Experience working with cloud platforms (AWS, Azure, or GCP) and integrating AI services into enterprise systems Proficiency in SQL and data analysis; ability to derive insights and present them effectively using visualization tools (e.g., QuickSight or similar) Hands-on experience with Agile/Scrum methodologies, including tools like Jira and Confluence Knowledge of Lean, Six Sigma, or similar process improvement frameworks Expertise in creating SOPs, process documentation, and API documentation Strong ability to challenge assumptions and influence stakeholders using data-driven insights Excellent communication skills with the ability to translate technical concepts for non-technical audiences

The AI Transformation Team partners with enterprise customers to design, build, and operationalize agentic AI solutions on AWS. As an AI Engineer, you will work directly with clients across financial services, healthcare, and industrial sectors, translating complex business challenges into scalable, production-grade AI systems. This role combines hands-on engineering with customer engagement, solution architecture, and delivery leadership. You will leverage modern AI platforms and AWS-native services to drive measurable business outcomes. Roles & Responsibilities Design, build, and deploy production-grade AI systems leveraging LLMs and agentic architectures Translate business requirements into scalable AI solution architectures and implementation roadmaps Lead and participate in discovery workshops, architecture reviews, and solution design sessions with customers Develop and optimize agentic workflows, including tool integration, multi-agent orchestration, and human-in-the-loop processes Integrate AI solutions with enterprise platforms (e.g., Slack, Salesforce, ServiceNow, Jira) Implement secure, scalable cloud architectures on AWS, following best practices for multi-account and multi-tenant environments Build and maintain CI/CD pipelines, infrastructure as code, and observability frameworks Collaborate cross-functionally with engineering, data, and business stakeholders to ensure successful delivery Scope, estimate, and deliver AI and cloud projects end-to-end Create key technical deliverables, including solution architecture documents, SOWs, runbooks, and handover documentation Present technical solutions and recommendations to both engineering teams and executive stakeholders (CTO, CIO, CDO) Requirements Skills & Qualifications 4+ years of production-grade software engineering experience (Python and/or TypeScript preferred) Proficiency in AI-assisted development tools (Kiro, Cursor, Claude Code) Strong understanding of distributed systems, event-driven architectures, and API design Experience with serverless architectures (AWS Lambda, SQS, SNS, Step Functions, EventBridge) Proficiency with Infrastructure as Code (Terraform and/or AWS CDK) Experience with CI/CD pipelines, containerized workloads (ECS/EKS), and observability tooling Hands-on experience building LLM-powered applications (prompt engineering, RAG, function calling, agentic workflows) Familiarity with AWS AI/ML services (Bedrock, SageMaker; AgentCore is a plus) Understanding of agent orchestration patterns: tool usage, multi-agent coordination, human-in-the-loop workflows, and stateful conversations Experience with agent frameworks (LangChain, LangGraph, CrewAI, Strands, or similar) Knowledge of embeddings, vector databases, and retrieval strategies Strong understanding of AWS architecture and security best practices Experience designing multi-account and multi-tenant environments Knowledge of IAM, SCPs, VPC endpoint policies, and data perimeter controls Familiarity with AWS data services (S3, DynamoDB, RDS, Kinesis, Glue, etc.) AWS certifications (Solutions Architect, ML Specialty) are a plus Experience integrating AI into enterprise platforms (Slack, Salesforce, ServiceNow, Jira, etc.) Familiarity with real-time communication protocols (SSE, WebSockets) Exposure to agent/UI frameworks (Vercel AI SDK, CopilotKit, AG-UI) Understanding of API gateway patterns, authentication flows, and audit/logging requirements Experience in customer-facing roles (workshops, architecture reviews, solution design) Ability to translate business problems into technical solutions Experience scoping, estimating, and delivering projects end-to-end Strong presentation skills for both technical and executive audiences Experience creating technical documentation and delivery artifacts

We are seeking a Senior AI Engineer to lead the design and development of AI-powered accelerators that streamline and automate complex business workflows, with a strong focus on data-migration programs. This role centers on building reliable, production-grade agentic systems and orchestration frameworks that improve speed, quality and reusability across migration and modernization initiatives. The ideal candidate combines strong hands-on engineering capability with architectural leadership and a passion for enabling teams through shared accelerators, assets, and patterns. Roles & Responsibilities: Design, build and maintain AI accelerators that enhance productivity and reduce delivery effort across data-migration workflows. Develop agentic and workflow-automation solutions (multi-agent orchestration, task routing, tool-use pipelines, etc.). Implement robust context-management strategies (retrieval pipelines, memory stores, episodic context, session-state control). Architect reliable production systems including evaluation, telemetry, failure-handling, and safety/guardrail patterns. Partner with engineering and delivery teams to adapt accelerators to live projects and real-world migration scenarios. Provide architectural guidance, mentorship, and code reviews for junior and mid-level engineers working on related accelerators. Establish development standards, reusable frameworks, and reference implementations to support scale and reuse. Collaborate with product and delivery stakeholders to translate business workflows into automatable system designs. Contribute to documentation, training materials, and onboarding guidance for accelerator adoption across teams. Requirements Qualifications: 4+ years of professional software engineering experience, with at least 2–3 years in applied AI / LLM systems. Experience working in consulting, platform engineering, or accelerator-style reusable asset development. Prior involvement in data-migration, modernization, or analytics engineering programs is a strong plus. Strong expertise in LLM-based application development (frameworks such as LangChain, LangGraph, Semantic Kernel, custom orchestration). Proven experience with agentic design patterns, including: Multi-step task planning & decomposition Tool-calling / API-driven agents Workflow graphs & supervisory agents Long-running task coordination Deep familiarity with context & retrieval design, including: RAG pipelines and embedding strategies Retrieval quality evaluation Grounding and prompt-context isolation Vector stores & document indexing Strong software engineering fundamentals: Python (primary) — testing, packaging, dependency management Architectural design & code quality best-practices CI/CD and deployment patterns Experience designing observability and evaluation loops for AI workflows (telemetry, metrics, regression testing, drift tracking). Experience integrating LLM systems with: Data platforms / warehouses Metadata systems and workflow tools REST / Microservices architectures Act as a technical leader and architectural partner across accelerator initiatives. Coach junior engineers through pairing, reviews, and design walkthroughs. Advocate for reusable patterns and forward-compatible designs. Contribute to a culture of experimentation, evidence-based iteration, and shared learning. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

About the Role We are seeking an experienced Senior Databricks Engineer to design, build, and scale modern data platforms using Databricks and cloud-based data technologies. In this role, you will be responsible for developing high-performance data pipelines, enabling advanced analytics, and supporting AI/ML workloads across the organization. You will collaborate closely with data engineers, data scientists, analysts, and platform teams to build scalable, reliable, and secure data solutions. The ideal candidate is passionate about big data processing, lakehouse architectures, and modern cloud data platforms, and enjoys solving complex data engineering challenges. Roles & Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Databricks and Apache Spark. Build and manage data lakehouse architectures leveraging Delta Lake and cloud-based storage solutions. Optimize data processing jobs for performance, reliability, and cost efficiency across large-scale datasets. Collaborate with data scientists and analysts to prepare and transform data for analytics, reporting, and AI/ML use cases. Implement data quality, governance, and security best practices across data platforms. Develop reusable data frameworks, libraries, and automation to improve engineering productivity. Integrate Databricks with other cloud-native services, orchestration tools, and data platforms. Monitor and troubleshoot data pipelines and production workloads to ensure high availability and reliability. Contribute to data architecture design, documentation, and best practices across the organization. Mentor junior engineers and support knowledge sharing within the data engineering team Requirements Qualifications & Skills Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. 5–8 years of experience in data engineering or big data development. Strong hands-on experience with Databricks, Apache Spark, and Delta Lake. Advanced programming skills in Python, Scala, or SQL. Experience building and optimizing ETL/ELT pipelines and large-scale data workflows. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Strong knowledge of data lakehouse architectures and distributed data processing systems. Experience with workflow orchestration tools such as Airflow or similar platforms. Strong understanding of data modeling, performance optimization, and data architecture best practices. Willingness to work in NA shift Excellent analytical, problem-solving, and communication skills. Preferred Skills Experience with streaming data platforms such as Kafka or Spark Streaming. Familiarity with Snowflake, Redshift, or other modern data warehouse platforms. Experience supporting machine learning or advanced analytics workloads. Exposure to CI/CD pipelines, DataOps, and infrastructure automation practices. Signs you may be a great fit Impact: Drive the design and delivery of scalable cloud solutions for diverse, forward-thinking customers Ownership: Thrive in a high-ownership role balancing architecture, coding, and delivery leadership

We are looking for a Salesforce Solution Architect with strong consulting and technical expertise to lead the design and delivery of scalable Salesforce solutions for enterprise clients. In this role, you will work closely with business stakeholders, delivery teams, and technical architects to translate complex business requirements into robust Salesforce architectures. You will drive solution design, ensure alignment with Salesforce platform best practices, and support successful delivery across multiple Salesforce clouds. This position requires a strong combination of architecture expertise, client-facing consulting skills, and deep knowledge of the Salesforce ecosystem. Key Responsibilities Design and architect scalable Salesforce solutions aligned with client business objectives and Salesforce best practices. Collaborate with clients, business stakeholders, and delivery teams to gather requirements and translate them into solution architecture. Lead solution design workshops, architecture reviews, and technical decision-making throughout the project lifecycle. Provide technical leadership and mentorship to Salesforce developers, administrators, and consultants. Define data models, security architecture, and integration frameworks for enterprise Salesforce implementations. Collaborate with cross-functional teams to integrate Salesforce with external enterprise systems using APIs and middleware platforms. Participate in project planning, solution estimation, and roadmap discussions. Ensure adherence to Salesforce governance, security standards, and architectural best practices. Troubleshoot complex technical challenges and guide teams toward optimal architectural solutions. Stay current with Salesforce platform releases, new capabilities, and industry trends to continuously improve solution design. Requirements Required Qualifications 8–12 years of experience in the Salesforce ecosystem in roles such as Solution Architect, Senior Salesforce Consultant, or Technical Lead. Strong expertise in Salesforce platform architecture and enterprise solution design. Deep knowledge of: Sales Cloud Service Cloud Experience (Community) Cloud Core Salesforce Platform capabilities Strong experience with: Advanced Salesforce configuration and declarative development Security model and access management Data modeling and data migration strategies System integrations and API-led architecture Familiarity with Apex, Visualforce, and Lightning Components from a solution design perspective. Experience working in Agile delivery environments (backlog management, sprint planning, user stories, and acceptance criteria). Strong analytical thinking and problem-solving abilities. Preferred Skills Ability to design enterprise-grade, scalable Salesforce architectures. Strong stakeholder management and client consulting skills. Excellent communication, documentation, and presentation abilities. Experience working in fast-paced consulting environments with evolving requirements. Self-driven with the ability to lead technical discussions and influence solution direction.

We are looking for an experienced Data Architect to design and build scalable, secure, and high-performance data platforms. The ideal candidate should have a strong foundation in data engineering, data warehousing, and analytics, along with hands-on experience in cloud environments. This role requires someone who understands end-to-end data workflows, from data ingestion to transformation and analytics, and can guide teams in building scalable, efficient, and reliable data solutions. Key Responsibilities Design and implement scalable and reliable data architectures for enterprise data platforms. Build and optimize data pipelines, data models, and data warehouse solutions. Lead end-to-end data projects including requirement gathering, design, development, and deployment. Ensure data quality, consistency, and availability across systems. Improve performance, scalability, and cost-efficiency of data platforms. Work closely with business stakeholders to understand data requirements and translate them into technical solutions. Define and follow best practices for data engineering, data modelling, and data governance. Collaborate with cross-functional teams including data engineers, analysts, and business teams. Guide and mentor junior and mid-level data engineers. Support solution design and provide inputs during pre-sales or client discussions when required. Requirements Required Skills 7+ years of experience in data engineering, data architecture, or related roles. Proven experience working as a Data Architect or in a similar capacity. Strong hands-on experience with SQL, data pipelines, and large-scale data processing. Good understanding of data modelling, ETL/ELT processes, and data warehousing concepts. Hands-on experience with at least one cloud platform (AWS / Azure / GCP). Experience designing and managing scalable data platforms and analytics systems. Strong problem-solving and analytical skills. Good communication skills and ability to work with stakeholders across teams. Experience leading teams or handling end-to-end project delivery is a plus. Good to have Experience with Snowflake and/or Databricks. Basic understanding of distributed data processing (e.g., Spark). Exposure to data governance concepts like data quality, lineage, and metadata management. Experience in multi-cloud environments. Familiarity with ML/AI data workflows (optional). Signs you may be a great fit Impact: Play a pivotal role in shaping a rapidly growing venture studio. Culture: Thrive in a collaborative, innovative environment that values creativity and ownership. Growth: Access professional development opportunities and mentorship. Benefits: Competitive salary, health/wellness packages, and flexible work options.

We are seeking a talented Senior Engineer with hands-on experience to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise in building a variety of cloud solutions and is passionate about working with our customers, partners, and employees to drive the business forward. This role is suited for someone passionate about building robust, scalable solutions that drive business impact. The successful candidate will play a key role in the full software development lifecycle within the AWS ecosystem. This includes analyzing requirements, designing scalable solutions, writing clean and efficient code, integrating third-party systems, and ensuring performance and security best practices. The role involves close collaboration with cross-functional teams to ensure the delivery of impactful, user-friendly AWS cloud solutions across our diverse and innovative customer base. You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market. Roles & Responsibilities: Infrastructure as Code (IaC): Design and implement scalable infrastructure using Terraform, CDK, or Pulumi to support cloud-native applications and services. Continuous Integration & Delivery (CI/CD): Develop, maintain, and optimize CI/CD pipelines to automate the deployment and testing of cloud solutions. Solution Engineering: Collaborate closely with customer engineering teams to implement cloud solutions as defined in the project backlog and architecture design. Custom Automation: Create and maintain custom automation scripts and utilities using Bash, PowerShell, or Lambda functions to streamline operations. Troubleshooting & Optimization: Investigate and resolve system, deployment, and integration issues across development, staging, and production environments. Mentorship & Knowledge Sharing: Guide, train, and mentor junior engineers on best practices in cloud development, security, and DevOps tooling. Requirements Qualifications & Skills Bachelor's degree in Computer Science, Engineering, or a related technical field. 5+ years of experience as a Cloud Engineer, with a proven track record of delivering successful projects on the Cloud platform. Expert understanding of cloud infrastructure and implementing Infrastructure-as-Code (IaC). Expert understanding of working with, building CI/CD pipelines and GitOps methodology. Excellent knowledge of containerization, Kubernetes, or other container management platforms. Proficient in Networking and IAM security. Proficient with any of: Python, Go, C#, Node.js. Great understanding of Agile project delivery. Great verbal and written communication skills. Enthusiasm for working in a startup environment and the ability to be cross-functional. Possess a natural curiosity and excitement for learning new technology. Experience in some of the following: Migrations, CI/CD, IaC (Terraform, CloudFormation, AWS CDK, Pulumi, etc), Scripting, Containers (Kubernetes, Docker, ECS, Fargate, etc), Cloud Security Best Practices, Networking, Incident, release, problem and change management processes. Experience working in a client-facing environment. Experience working on agile projects. Consultancy/advisory experience. Willingness to work flexible shifts to support customers in different time zones. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.