We are hiring enthusiastic and high-potential engineering graduates to join us as Talent for Good program. Selected candidates will undergo structured training and be aligned to live client projects based on business requirements, performance, and skill alignment. This role is ideal for freshers who want hands-on exposure to real-world projects in a fast-paced, technology-driven environment. Key Responsibilities Participate in structured technical training programs. Develop strong fundamentals in assigned technology stack. Work on internal projects, POCs, and client assignments. Collaborate with cross-functional teams (Dev, QA, DevOps, Business). Follow coding standards and documentation best practices. Continuously upskill and complete certifications as required. Requirements Eligibility Criteria B.E./B.Tech / MCA (CS, IT, ECE, or related streams) 2025 / 2026 pass-outs Minimum [70% or 7 CGPA] throughout academics Strong problem-solving and analytical skills Good communication skills Preferred Skills Programming: Java / Python / JavaScript Web Technologies: HTML, CSS, React / Angular (basic knowledge) Database: SQL / MySQL / PostgreSQL Basic understanding of OOPs and Data Structures Knowledge of Git is a plus What We Offer Structured onboarding & mentorship Certification support Exposure to enterprise-grade projects Clear career progression path Competitive Packages

We are hiring enthusiastic and high-potential engineering graduates to join us as Cohort Hiring program. Selected candidates will undergo structured training and be aligned to live client projects based on business requirements, performance, and skill alignment. This role is ideal for freshers who want hands-on exposure to real-world projects in a fast-paced, technology-driven environment. Key Responsibilities Participate in structured technical training programs. Develop strong fundamentals in assigned technology stack. Work on internal projects, POCs, and client assignments. Collaborate with cross-functional teams (Dev, QA, DevOps, Business). Follow coding standards and documentation best practices. Continuously upskill and complete certifications as required. Requirements Eligibility Criteria B.E./B.Tech / MCA (CS, IT, ECE, or related streams) 2025 / 2026 pass-outs Minimum [70% or 7 CGPA] throughout academics Strong problem-solving and analytical skills Good communication skills Preferred Skills Programming: Java / Python / JavaScript Web Technologies: HTML, CSS, React / Angular (basic knowledge) Database: SQL / MySQL / PostgreSQL Basic understanding of OOPs and Data Structures Knowledge of Git is a plus What We Offer Structured onboarding & mentorship Certification support Exposure to enterprise-grade projects Clear career progression path Competitive Packages

We are seeking an exceptionally qualified ServiceNow Solution Architect, possessing a minimum of seven years of platform experience, to spearhead high-impact client engagements. While many practitioners specialize, we require a platform expert capable of architecting comprehensive, cross-enterprise solutions encompassing ITSM, HRSD, CSM, FSM, and the evolving AI capabilities integrated within the Now Platform. In the capacity of Technical Lead, the successful candidate will transcend mere development responsibilities to serve as the principal technical authority for our clientele. This pivotal role involves designing robust, scalable architectures, providing meticulous oversight for complex system integrations, developing the overarching Service Portal strategy, and offering mentorship to a team of consultants to ensure delivery excellence. The Architect will be singularly responsible for translating technical complexity into quantifiable business value, ensuring clients fully capitalize on Now Assist, AI Agents, and automation-driven workflows to maximize their Return on Investment (ROI). Roles and Responsibilities Lead Technical Delivery: Assume the role of Lead Architect for large-scale implementations, bearing complete ownership of the technical solution across the ITSM, HRSD, CSM, and FSM domains. Architectural Design: Produce detailed Technical Design Documents (TDD), Blueprints, and Solution Architecture diagrams. Conduct and lead workshops to meticulously translate intricate business requirements into scalable ServiceNow solutions. Cross-Module Expertise: Design integrated, unified workflows that seamlessly connect internal employees (HRSD/ITSM) with external customers and field operations (CSM/FSM), thereby ensuring a coherent data model and optimal user experience. Advanced Development & Integrations: Direct the design and execution of sophisticated integrations utilizing REST/SOAP, Integration Hub, and Spoke development. Supervise advanced configurations and custom widget development for the Service Portal/Employee Center Pro. AI & Automation Leadership: Now Assist: Architect generative-AI-driven experiences to significantly enhance productivity across ITSM, HRSD, and CSM use cases. AI Control Tower: Establish and implement governance frameworks necessary for enterprise-grade AI adoption and continuously monitor AI health, accuracy, and regulatory compliance. AI Agents: Design and deploy autonomous agents to automate repetitive processes and resolve common employee and customer inquiries. AI Search: Optimize enterprise search functionality through the implementation of semantic search, natural language understanding, and contextual data retrieval. Client Advisory: Serve as a trusted advisor to C-level stakeholders and process owners. Provide expert guidance to customers regarding the ServiceNow product roadmap, new feature releases, and adherence to industry best practices. Governance & Best Practices: Establish and rigorously enforce coding standards, update set governance protocols, and instance management strategies. Proactively ensure the technical integrity and scalability of the platform (technical debt management). Team Leadership: Mentor Senior and Associate Technical Consultants. Conduct thorough code reviews, lead formal "Show and Tell" demonstrations, and ensure the team's strict adherence to agile development methodologies. Pre-Sales & Scoping: Collaborate with the sales team to provide requisite technical expertise during the pre-sales lifecycle, including scoping efforts, Proof-of-Concept (POC) construction, and high-level effort estimations. Release Management: Plan and oversee Code Promotion activities, comprehensive cutover planning, and the formulation of go-live support strategies. Innovation: Champion the adoption of cutting-edge technologies, including Virtual Agent, AI Search, Predictive Intelligence, and flow automation, to reduce manual workloads effectively. Project Management Support: Collaborate strategically with Engagement Managers to identify and mitigate technical risks (RAID log), manage scope creep, and ensure the punctual delivery of solutions. Requirements Qualification and Skills A minimum of 7+ Years of hands-on ServiceNow experience is required, with at least three years served in a designated Lead or Architect capacity. A Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E.) in Computer Science is preferred, or equivalent demonstrated practical experience. Possession of a proven track record leading successful, end-to-end implementations within a demanding consulting environment Multi-Module Mastery: Deep, demonstrable expertise in ITSM (Incident, Problem, Change, CMDB) and HRSD (COE structure, Lifecycle Events, HR Services) is mandatory. Customer & Field Workflows: Strong configuration expertise in CSM (Case Management, CSM Portal, Install Base) and FSM (Work Order management, Dispatching, Geolocation). Integrations: Expert-level proficiency in web services (REST/SOAP), Mid Servers, Payload parsing, and various authentication methods (OAuth, SAML, LDAP). Service Portal: Advanced proficiency is required in Angular, Bootstrap, and Widget architecture for both Employee Center and CSM Portals. Demonstrated experience implementing AI Search, Virtual Agent, Predictive Intelligence, and configuring AI Control Tower dashboards. Certifications: Certified System Administrator (CSA) Certified Implementation Specialist (CIS) in HRSD, ITSM, CSM, or FSM Preferred: Certified Application Developer (CAD). 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 detail-oriented Marketing Operations Manager to manage our marketing technology stack and processes. You will be the "engine room" of our marketing team, ensuring our data is clean, our workflows are running smoothly, and our campaigns are tracked accurately. Key Responsibilities: HubSpot Administration & Development: Maintain and build marketing automation infrastructure in HubSpot. Including but not limited to automate workflows, forms, list hygiene, etc. Data Integrity & Imports: Act as the gatekeeper for database health by managing bulk data imports, standardising records, and performing regular audits to eliminate duplicates and poor quality data. Operational Campaign Support: Provide technical execution for the wider marketing team by setting up tracking URLs (UTMs), supporting with email blasts, maintaining any key platform integrations and creating data capture forms. Reporting & Analytics Requests: Fulfil ad-hoc data requests and maintain marketing dashboards to track lead volume, conversion rates, and campaign ROI, ensuring stakeholders have accurate performance data. Process Documentation: Create and maintain key process documentation, including naming conventions, operational processes and system architecture to ensure team-wide consistency. Requirements Qualifications: Bachelor’s degree in Marketing or BBA or related fields HubSpot Experience: At least 1–2 years of hands-on experience working within HubSpot. B2B SaaS Familiarity: Understanding of the B2B lifecycle (MQL, SQL, Opportunity) and how SaaS companies acquire customers. Analytical Mindset: You enjoy looking at numbers and finding patterns or errors. Attention to Detail: You’re the type of person who catches a broken link or a typo in a workflow before it goes live. Tech Savvy: Comfortable learning new tools quickly. 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 looking for a highly skilled Integration Engineer to lead the design, development, and evolution of developer-facing tooling and integrations. This role sits at the intersection of engineering, automation, and developer experience - helping customers seamlessly integrate our internal product into their CI/CD pipelines, infrastructure, and workflows. You will build scalable integration frameworks, define technical standards, and partner cross-functionally to ensure high-quality, secure, and maintainable solutions. Roles and responsibilities Lead the design and development of developer-facing tooling, including SDKs, Terraform blueprints, and automation toolkits Own and evolve third-party integrations across CI/CD, observability, automation, and developer platforms Define and champion best practices for integration architecture, automation patterns, and implementation standards Build reusable, scalable integration frameworks that work across multiple customers and environments Drive engineering excellence across code quality, test coverage, maintainability, and secure development practices Create technical blueprints, playbooks, and documentation to improve consistency and quality for both customers and internal teams Improve onboarding automation and remove friction from real-world developer workflows Mentor junior engineers and conduct thoughtful code reviews focused on clarity, resilience, and long-term maintainability Partner closely with Product, Customer Success, and Support to align integrations with product strategy and customer needs Act as a subject matter expert, supporting Solutions Engineering and Support teams with complex customer scenarios Contribute to and support open-source initiatives, engaging across GitHub and community forums Continuously identify bottlenecks and replace manual processes with automation Requirements Skills and Qualifications 5+ years of experience in Application, Integration, or Software Engineering Demonstrated experience working with technical software products or developer tooling Strong proficiency in at least one programming/scripting language (e.g., Python, JavaScript, Go) Hands-on experience with CI/CD systems and modern developer workflows Familiarity with cloud infrastructure and modern development environments A growth mindset; comfortable learning quickly and acknowledging knowledge gaps A strong passion for engineering craft and building high-quality solutions Preferred Skills Building or maintaining integrations (CI/CD systems, SDKs, Terraform modules, etc.) UNIX-like systems (Linux, macOS, WSL) Artifact and package management, or software supply chain concepts Cloud infrastructure, storage systems, source control, data structures & algorithms Open-source contributions with meaningful community engagement REST, GraphQL, or gRPC API design AWS (certifications are a plus) Docker, OCI, ORAS, Kubernetes (k8s, k3s) Sigstore, Cosign, keyless signatures, or signature attestation Grafeas, Kritis, metadata provenance Software Bill of Materials (SBOM) and Software Composition Analysis (SCA) Serverless, edge computing, distributed systems, or microservices architecture Securing web services and addressing software vulnerabilities Strong written and verbal communication skills in English, with the ability to engage both technical and non-technical audiences

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.

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 Salesforce Business Analyst to join our client-facing delivery teams and drive end-to-end Salesforce implementations. In this role, you will work closely with stakeholders, architects, and engineers to translate business requirements into scalable Salesforce solutions and ensure successful delivery across projects. You will play a key role in business analysis, solution design, and delivery execution, while contributing to reusable frameworks and best practices within our Salesforce ecosystem. Key Responsibilities Business Analysis & Requirements Conduct discovery sessions and business process workshops with stakeholders Gather, analyze, and document business and functional requirements Translate requirements into user stories with acceptance criteria, assumptions, and priorities Evaluate solution options, trade-offs, and recommend best-fit approaches Solution Design & Implementation Collaborate with architects and developers to design scalable Salesforce solutions Contribute to functional specifications, solution design documents, and architecture discussions Configure Salesforce using declarative tools (flows, validation rules, automation) Support data migration and integration efforts across systems Delivery & Execution Manage backlogs, sprint planning, and user story refinement in Agile environments Drive User Acceptance Testing (UAT) including planning, execution, and reporting Ensure alignment between business requirements and delivered solutions Collaboration & Enablement Act as a bridge between business stakeholders and technical teams Collaborate with cross-functional teams across Salesforce, data, and integration layers Develop documentation, training materials, and end-user enablement plans Requirements Required Qualifications & Skills Bachelor’s degree in Computer Science, Information Systems, or a related field 4+ years of experience as a Salesforce Business Analyst or Consultant Strong experience with: Salesforce Platform Sales Cloud, Service Cloud, Experience Cloud Advanced configuration (flows, automation, security models) Experience with: Data modeling and data migration User story creation and Agile delivery frameworks Integration concepts (APIs, middleware – working knowledge) Strong analytical, problem-solving, and communication skills Experience working in client-facing or consulting environments Familiarity with: Apex, Lightning Components (LWC) – from a design perspective Enterprise Salesforce implementations and integrations Agile certifications Advanced Salesforce certifications Signs You May Be a Great Fit Impact: Play a pivotal role in delivering high-impact Salesforce solutions Culture: Thrive in a collaborative, high-ownership, and innovation-driven environment Growth: Access continuous learning, certifications, and mentorship Benefits: Competitive compensation, flexible work, and growth-focused culture

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. 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

Role Overview We are seeking a talented Data Scientist / Machine Learning Engineer with 3–6 years of hands-on experience to join our growing Data & AI Engineering team. The right candidate is someone who has strong expertise in building scalable machine learning models and data pipelines, and is passionate about leveraging data to solve complex business problems. This role is suited for someone who enjoys working with large datasets, modern ML frameworks, and cloud-based data platforms to build intelligent solutions that drive real business impact. Roles & Responsibilities Design, develop, and deploy machine learning models for tasks such as classification, prediction, scoring, and recommendation systems. Build and optimize scalable data pipelines and data processing workflows to support machine learning and analytics initiatives. Work with large-scale datasets using frameworks such as Spark, Hadoop, Kafka, or Kinesis to process structured and unstructured data efficiently. Develop and implement deep learning models, including CNNs and NLP-based architectures, for advanced analytics and AI-driven applications. Leverage AWS services such as EC2, EMR, Redshift, RDS, and AWS AI/ML services to build and deploy scalable machine learning solutions. Develop efficient data models and optimize query performance across SQL and NoSQL databases. Work closely with cross-functional teams and external stakeholders to understand requirements, translate business problems into data-driven solutions, and deliver impactful outcomes. Continuously evaluate model performance and improve solutions through experimentation, feature engineering, and model tuning. Requirements Qualifications & Skills Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Informatics, Information Systems, or a related quantitative field. 3–6 years of experience in a Data Scientist, Machine Learning Engineer, or similar role. Strong programming skills in Python, with familiarity in Java or Scala being a plus. Advanced knowledge of SQL and experience working with relational databases such as MySQL or PostgreSQL. Experience with NoSQL databases such as DynamoDB or Cassandra. Hands-on experience with big data technologies such as Spark, Hadoop, Kafka, Kinesis, or Elasticsearch. Experience building and optimizing data pipelines, architectures, and large-scale datasets. Strong understanding of machine learning algorithms and model development workflows. Experience with deep learning frameworks and neural networks including CNNs and NLP models. Experience leveraging AWS AI/ML and data services to develop and deploy machine learning solutions. Familiarity with message queues, stream processing, and distributed data systems. Strong analytical, problem-solving, and communication skills. Ability to work effectively in fast-paced, collaborative environments. Preferred Certifications AWS Certified Machine Learning – Specialty (Strongly Preferred) AWS Certified Solutions Architect – Associate (Strongly Preferred) Signs You May Be a Great Fit Impact: Play a key role in building AI-driven solutions that power data-driven decision-making and intelligent automation. Culture: Work in a collaborative, innovative environment that encourages experimentation and continuous learning. Growth: Gain exposure to cutting-edge ML technologies, large-scale data platforms, and real-world AI use cases. Benefits: Competitive compensation, professional development opportunities, and a flexible work environment designed to support your growth.

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 8+ 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 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 a motivated Associate Consultant – Databricks with strong experience in data engineering and cloud platforms. The role involves building and supporting scalable data pipelines, working with large datasets, and contributing to analytics and data platform initiatives using Databricks. Key Responsibilities Develop and maintain ETL/ELT pipelines using Databricks (PySpark / Spark SQL). Work with structured and semi-structured data (JSON, Parquet, CSV, Delta). Assist in designing and implementing data models in the Lakehouse architecture. Support data ingestion from various sources (APIs, databases, cloud storage). Optimize Spark jobs for performance and cost efficiency. Implement data quality checks and monitoring mechanisms. Collaborate with analytics, BI, and data science teams to deliver datasets. Participate in code reviews and follow engineering best practices. Requirements Required Skills Bachelor’s degree in Computer Science, Information Technology, or a related field. 2–4 years of experience in data engineering or related roles. Hands-on experience with Databricks and Apache Spark (PySpark preferred). Strong SQL and Python skills. Experience with at least one cloud platform (AWS / Azure / GCP). Understanding of data warehousing concepts and ETL processes. Basic knowledge of Delta Lake and Lakehouse architecture. Familiarity with Git and CI/CD fundamentals. Good to Have Experience with Airflow / ADF / Glue. Exposure to streaming data (Kafka, Spark Streaming). Databricks certification Associate/Professionals. 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 looking for a Databricks Lead to drive data platform strategy, architecture, and delivery excellence. This role requires strong technical leadership, client-facing capability, and ownership of large-scale implementations. Key Responsibilities Define enterprise data strategy and Lakehouse architecture roadmap. Architect large-scale data platforms on Databricks across cloud environments. Lead end-to-end implementation and modernization programs. Establish best practices for data engineering, DevOps, and governance. Oversee performance optimization, cost management, and scalability. Drive data security, compliance, and governance initiatives. Engage with senior stakeholders and provide technical advisory. Lead and mentor cross-functional teams of data engineers. Support pre-sales activities including solutioning and effort estimation. Requirements Required Skills Bachelor’s degree in Computer Science, Information Technology, or a related field. 7+ years of experience in data engineering and analytics platforms. Proven experience architecting Databricks-based solutions at scale. Deep understanding of Spark internals and performance engineering. Strong at-least one cloud hands-on experience (AWS / Azure / GCP). Experience implementing governance frameworks (Unity Catalog, data lineage, metadata management). Strong stakeholder management and communication skills. Experience leading teams and managing project delivery. Good to Have Experience in multi-cloud data architecture. Knowledge of ML engineering and MLOps in Databricks. Databricks Certified Professional or Architect certification. 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 Data Engineer who will be responsible for building and maintaining scalable data pipelines and transformation workflows. The ideal candidate should have hands-on experience with Snowflake, DBT, SQL, and Python, and a strong understanding of data modelling principles. This role will work closely with the Lead Data Engineer and Analytics teams to ensure reliable, high-quality data solutions. Role and Responsibilities Data Pipeline Development Develop and maintain ELT pipelines using Python and SQL Build and maintain DBT models for transformation Load and transform structured and semi-structured data into Snowflake Debug and resolve pipeline failures Data Modelling Assist in designing fact and dimension tables Implement transformations aligned with business reporting needs Maintain documentation of data models and transformations Snowflake & SQL Optimization Write efficient SQL queries Optimize queries for performance Support warehouse monitoring and cost management Data Quality & Testing Implement DBT tests (schema tests, custom tests) Validate source-to-target data accuracy Participate in code reviews Collaboration Work with analytics and BI teams to understand reporting requirements Translate business requirements into scalable data models Communicate effectively with cross-functional teams Requirements Qualifications and Skill Technical Skills Bachelor’s degree in Computer Science, Information Technology, or a related field with 3+ years of IT experience. 3+ years of experience in Data Engineering Hands-on experience with Snowflake Working experience in DBT Strong SQL knowledge Proficiency in Python Good understanding of data modelling fundamentals Preferred Skills Experience with Airflow/Dagster or other orchestration tools Exposure to cloud environments (AWS/Azure/GCP) Experience working in an agile development environment 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 3–6 years of 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. 3–6 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.

We are seeking a skilled Cloud Engineer (E2) to join our growing Managed Service Provider (MSP) team. This role is ideal for an engineer who enjoys building, operating, and optimising cloud-native solutions while working closely with CloudOps, DevOps, security teams, and clients. Role & Responsibilities Evaluate and recommend cloud libraries, tools, and services based on client and platform needs Own the implementation of engineering stories and advanced cloud solutions for client workloads Research, document, and propose solutions for technical challenges and operational gaps Design and build cloud-native architectures including serverless solutions, IoT backends, and highly automated delivery pipelines Assist in solution design, estimation, planning, and implementation activities Participate in cross-functional delivery teams to successfully execute client engagements Collaborate with CloudOps teams to design support systems, response procedures, and operational handoffs Engage in customer-facing discussions to explain, present, and justify technical decisions while educating clients Share knowledge, best practices, and technical insights with internal teams and client stakeholders Design and implement scalable AWS architectures with a focus on reliability, security, and cost efficiency Build and maintain observability solutions using AWS-native tools (CloudWatch, X-Ray, Config) and partner platforms (Datadog, Dynatrace, OpenTelemetry) Work with 24x7 response teams to define and implement effective metrics, logging, and alerting strategies Develop runbooks and automation aligned with monitoring thresholds and operational triggers Partner with CloudOps to reduce alert noise, perform root cause analysis, and improve system stability Collaborate with DevOps and security teams to embed resilience, security, and cost-optimization into solutions Continuously learn and stay current with AWS services, best practices, and emerging cloud technologies Contribute to internal IP, tooling, and open-source initiatives Participate in Agile-based delivery models and project execution Requirements Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field with 2+ years of IT experience. 2+ years of strong hands-on experience with Amazon Web Services (AWS) 2+ years of experience with configuration management and/or infrastructure automation 2+ years of programming experience in one or more of the following: Python, Node.js, TypeScript, Go, Java, or C# AWS Associate-level certifications (Solutions Architect, SysOps, or Developer) Experience designing scalable and automated cloud infrastructure Willingness to work in the graveyard shift Strong knowledge in AWS Lambda and serverless architectures Exposure to large-scale enterprise IT environments Familiarity with Agile or other project management methodologies Strong communication skills with the ability to explain technical concepts clearly to varied audiences Effective time and self-management with the ability to prioritize, adapt, and meet deadlines Strong problem-solving mindset with the ability to analyze issues and deliver practical solutions Collaborative team player who builds productive relationships with clients and stakeholders 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 Cloud Engineer (E3) to join our growing Managed Service Provider (MSP) team. This role is ideal for a hands-on technical leader who can design, build, and operate complex cloud solutions while mentoring engineers and partnering closely with CloudOps, DevOps, security teams, and clients. Role & Responsibilities Lead the design and implementation of advanced cloud-native solutions for client workloads Evaluate and select tools, libraries, and AWS services aligned to scalability, security, and cost efficiency Apply structured frameworks to assess problems, risks, and architectural trade-offs Build and enhance cloud-native architectures including serverless, IoT backends, and highly automated delivery pipelines Enforce engineering standards, SDLC best practices, and architectural consistency Move fluidly between high-level architectural thinking and hands-on implementation Partner with CloudOps to design support models, response procedures, and operational handoffs Participate in cross-functional delivery teams to ensure successful client outcomes Mentor engineers, define stories and task-level work, and provide technical guidance Design and implement highly reliable, secure, and cost-optimized AWS architectures Build and maintain observability platforms using AWS-native tools (CloudWatch, X-Ray, Config) and partner solutions (Datadog, Dynatrace, OpenTelemetry) Collaborate with 24x7 operations teams to define actionable metrics, logs, and alerts Establish runbooks and automation aligned to monitoring thresholds and incident response Drive root cause analysis, noise reduction, and long-term reliability improvements Partner with DevOps and security teams to embed resilience, security, and cost optimization into all solutions Coach, mentor, and share knowledge with engineers across experience levels Perform code reviews, provide constructive feedback, and pair program when needed Contribute to internal IP, tooling, and open-source initiatives Participate in Agile delivery models and execution planning Engage with clients through presentations, architectural discussions, and technical decision-making Build relationships with vendors and AWS partners Stay current with AWS best practices and emerging cloud technologies Requirements Required Skills & Experience Bachelor’s degree in Computer Science, Information Technology, or related field with strong 4+ years of IT experience 3+ years of hands-on experience with Amazon Web Services (AWS) 2+ years of programming experience in Python, Node.js, TypeScript, Go, Java, or C# 2+ years of strong experience in Kubernetes. Experience with infrastructure as code and configuration management Experience with CI/CD pipelines and modern delivery practices Experience working within Agile or similar delivery methodologies Willingness to work in the graveyard shift AWS Associate or Professional certifications (Solutions Architect, DevOps Engineer, SysOps, Developer) Experience designing scalable, automated cloud infrastructure Strong experience with AWS Lambda and serverless architectures Experience supporting large-scale enterprise or MSP environments Experience in client-facing or consulting roles Strong communication skills with the ability to explain technical concepts clearly to varied audiences Effective time and self-management with the ability to prioritize, adapt, and meet deadlines Strong problem-solving mindset with the ability to analyze issues and deliver practical solutions Collaborative team player who builds productive relationships with clients and stakeholders 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.