Top AWS Jobs in Pune

Leads enterprise technology assessments, architecture reviews, modernization evaluations, and transformation roadmaps. Assesses application, cloud, platform, data, and integration landscapes; defines target architectures; performs gap analysis and technology due diligence; recommends modernization strategies; and provides governance and technical direction. Collaborates with multidisciplinary specialists, produces architecture documentation, supports transformation programs, and mentors engineering and architecture teams.

Design, build and maintain data pipelines, warehouses and lakes; develop processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead teams, drive performance engineering, and ensure security, reliability and compliance of data platforms.

Leads Fractal’s AWS practice by owning P&L, driving strategic client growth, managing AWS alliances, and overseeing large-scale cloud transformation programs. The role combines executive relationship management, technology consulting, sales leadership, solution development, delivery governance, talent development, and financial management. The leader advises Fortune 500 clients on AWS, AI/ML, data, generative AI, security, modernization, and migration initiatives while building a high-performing distributed team and expanding AWS-led business.

Develop and maintain enterprise data and records governance frameworks, monitor data quality and compliance, manage records lifecycle processes, and implement data governance strategies. Build data pipelines and curated datasets using ETL tools, deliver reporting and visualization solutions, document requirements, and collaborate with stakeholders. Preferred experience includes cloud data engineering, SQL, data modeling, Python, Spark, CI/CD, orchestration, lakehouse architectures, and process modeling.

Leads and mentors engineers developing enterprise cloud services, APIs, automation, and UIs using Python, Azure, AWS, infrastructure-as-code, DevOps, and GenAI. Responsibilities include software architecture, full-stack development, cloud automation, testing, performance optimization, secure SDLC, API and data design, troubleshooting, documentation, stakeholder communication, and project delivery. The role also establishes engineering standards, operationalizes services, evaluates emerging technologies, and guides responsible AI adoption.

Own the vision, roadmap, backlog, and delivery of AI-powered applications. Translate business needs into technical specifications, guide LLM integrations and RAG architectures, oversee Python and REST API development, coordinate cloud deployment with DevOps, monitor product performance, and align cross-functional stakeholders.

Lead enterprise AI initiatives from discovery through deployment, translating business requirements into technical roadmaps and delivering scalable software solutions. Collaborate with product, engineering, and data science teams in agile environments, lead technical assignments, manage stakeholders, promote secure coding and testing practices, and navigate governance requirements in a regulated environment.

Develop scalable, high-throughput software solutions for Barclays by analyzing business requirements, designing services and processes, collaborating with stakeholders, and supporting delivery and change management. Build Java and Spring Boot microservices using REST APIs, Kafka, SQL Server, cloud platforms, containers, and CI/CD. Contribute to architecture, observability, risk controls, root-cause analysis, and continuous service improvement while guiding stakeholders and team members.

Build and own full-stack features for Maersk’s shipment visibility platform, from prototypes through production. Develop front-end interfaces and scalable back-end microservices, APIs, and event-driven applications. Collaborate with UX and product teams, maintain accessibility and performance, implement automated testing and security checks, and support observability and continuous delivery. The role requires proficiency in either front-end or back-end development, with the ability to contribute across the stack using modern coding agents.

Build, operate, and scale cloud infrastructure and deployment pipelines for a secure FedRAMP-authorized environment. Develop automation for reliable microservice operations, manage platform systems and runbooks, monitor infrastructure, improve performance and MTTR, participate in on-call and incident response, and contribute to operational architecture and SRE practices.

Owns the architecture, evolution, security, and governance of cloud platforms across multiple client environments. Designs cloud foundations, infrastructure-as-code standards, resilience and disaster recovery strategies, security guardrails, and operational patterns. Provides technical leadership during critical incidents, supports architecture reviews and client escalations, and contributes to change governance, SLA design, audit readiness, and pre-sales activities. The role requires multi-cloud expertise, strong stakeholder communication, and experience with managed services and enterprise platforms.

Owns the architecture, evolution, security, resilience, and governance of multi-client cloud platforms. Designs cloud foundations, infrastructure-as-code practices, guardrails, disaster recovery, and operational standards. Provides technical leadership during critical incidents, advises Cloud Operations, supports architecture reviews and client escalations, and contributes to change governance, SLA design, audit readiness, and pre-sales. Requires extensive cloud architecture, security, compliance, automation, networking, Kubernetes, incident management, and stakeholder engagement experience.

The Software Engineer will design and improve software solutions, ensure code quality, collaborate with teams, and lead projects aligned with business objectives.

Leads the strategy, architecture, and execution of Kaseya’s unified data, API, AI, and runtime platform ecosystem. Builds scalable, reliable, cloud-native capabilities; drives platform modernization, engineering culture, technical and commercial KPIs, and cross-functional alignment. The role manages global engineering teams and transforms customer data, telemetry, and AI/ML into product differentiation, improved experiences, automation, and new revenue opportunities.

Designs and oversees scalable GCP cloud architectures and data platforms. Builds Python-based ETL/ELT pipelines using BigQuery, Cloud Functions, Cloud Run, Composer, Dataform, Pub/Sub, and Eventarc. Integrates external APIs, automates CI/CD, optimizes data processing costs, and ensures security, governance, and compliance. The role also collaborates with stakeholders, guides other architects, manages solution governance, and translates business requirements into maintainable data engineering solutions.

Lead and mentor an engineering team while acting as a hands-on technical lead. Drive architecture and design, implement Node.js/GraphQL backends, collaborate with clients and cross-functional teams, optimize cloud infrastructure (AWS/Azure), implement observability, and leverage AI tools to accelerate development.

Develops and executes automated and manual software testing strategies, test plans, scripts, harnesses, and infrastructure. Validates functional, performance, resilience, accessibility, privacy, and quality requirements; identifies and documents defects; collaborates with engineering and product teams; supports continuous integration; and improves testability, defect prevention, and QA processes.

Leads data protection risk and remediation across business and technology platforms. Identifies security risks, conducts assessments, defines remediation strategies, drives control compliance, and partners with engineering, architecture, technology, risk, and business stakeholders. Acts as an information security subject matter expert, advises on pragmatic security solutions, improves processes and automation, and communicates risks and requirements clearly to support data protection and regulatory objectives.

Leads the design and delivery of scalable, cloud-native data and platform capabilities. Responsibilities include distributed event-driven systems, infrastructure as code, CI/CD, secure architecture, Kubernetes platforms, streaming technologies, observability, resilience, governance, and production operations. Provides technical direction, mentors engineering teams, influences stakeholders, promotes reusable self-service platforms, and ensures compliance with security, privacy, resilience, and operational risk standards.

Designs and develops cloud-based data engineering solutions on GCP. Responsibilities include building data pipelines and warehouse solutions using Python, SQL, BigQuery, Dataform, Cloud Composer, Pub/Sub, and related GCP services. The role also involves applying data modeling, CI/CD, Git workflows, problem-solving, requirements gathering, client interaction, and potentially technical team management.

Develop and deliver scalable, secure software and infrastructure solutions for banking applications. Responsibilities include Java and Spring development, API and messaging integration, cloud architecture, CI/CD, infrastructure as code, container orchestration, blockchain-related systems, testing, code reviews, risk controls, and cross-functional collaboration. The role also involves guiding team members, influencing stakeholders, and supporting technology strategy and operational excellence.

Build and maintain a canonical customer operating data layer integrating Salesforce, Jira, Langfuse, Snowflake, product telemetry, and other sources. Develop data models, integrations, reconciliation logic, automation, alerts, executive reporting, and AI-supported customer summaries. Translate lifecycle requirements into reliable workflows and production-ready code while partnering with business, technical, BI, and source-system stakeholders. Establish data governance, metric definitions, freshness standards, and reporting consistency for customer health, adoption, renewal, and expansion decisions.

Provides organization-wide technical leadership for large-scale distributed systems and platform architectures. Defines long-term technical strategy, drives scalability, reliability, modernization, observability, AI-assisted development, and engineering productivity across teams. Partners with engineering, product, and business leaders on roadmaps and architecture decisions, leads cross-team initiatives, reduces technical debt, advances operational maturity, mentors senior engineers, and supports technical due diligence.

Designs, builds, maintains, and secures large-scale network infrastructure solutions supporting applications and data systems. Responsibilities include network architecture, incident management, performance monitoring, automation, vulnerability mitigation, and cross-functional solution development. The role requires expertise in routing protocols, firewalls, load balancers, Cisco and F5 technologies, cloud and virtualization platforms, scripting, change management, and ITIL processes.

Build, maintain, and modernize front-end features and design system for Vena's core platform. Fix complex bugs and performance issues, conduct code reviews, collaborate with cross-functional teams, improve testing and accessibility, mentor teammates, and drive adoption of AI-driven development practices.