Top AWS Jobs in Pune

Lead multi-stream data and AI projects, own project plans, budgets and risks, run governance meetings, coordinate Architects/Data Engineers/AI teams, apply Snap's delivery methodology, manage senior stakeholders, and oversee multiple concurrent client engagements to ensure timely delivery and client satisfaction.

Design and develop software solutions using Java and AWS, ensure code quality through testing, collaborate with teams, and mentor junior members.

Design, implement, and maintain scalable CI/CD pipelines and infrastructure as code. Manage container orchestration (Kubernetes, ECS, Docker), monitor performance, improve reliability via automation and observability, and enhance security and compliance across infrastructure and pipelines.

Lead firewall and network security operations, manage Check Point firewalls, mentor engineers, and ensure compliance across cloud platforms.

The Full Stack Developer is responsible for designing, developing, and improving software, collaborating with cross-functional teams to ensure high-quality software solutions, and adhering to secure coding practices. The role requires hands-on experience in Java-based applications, microservices, CI/CD, and modern testing frameworks.

The Senior Systems Development Engineer at Boomi designs and builds demos and PoCs, manages demo environments, and partners with teams to ensure technical solution alignment with business needs.

Design, build and maintain data pipelines, warehouses and lakehouse architectures; migrate Ab Initio workloads to cloud (AWS/Databricks/Spark); optimize performance and scalability; lead modernization initiatives; mentor engineers; collaborate with data scientists and stakeholders to deploy ML models and ensure data reliability, security and governance.

Provide SRE-level production support: monitor, troubleshoot, and resolve incidents; automate operational tasks; optimize performance and capacity; collaborate with development teams to improve reliability, scalability, and resilience; participate in major incident management and stakeholder communications; work shift patterns including weekend/ad-hoc support.

Design, build and maintain data pipelines, warehouses and lakes; optimize Teradata environments and migrate workloads to cloud platforms (AWS, Snowflake, Databricks); develop scalable processing and analysis algorithms; collaborate with data scientists on ML model deployment; lead and mentor teams, influence stakeholders, and drive modernization strategy within Agile delivery.

Design, develop, and execute automated test plans and scripts to validate functionality, performance, APIs, databases and cloud systems. Collaborate with cross-functional teams to analyze requirements, perform root cause analysis, integrate tests into CI/CD, and improve testing frameworks and processes to ensure reliability and compliance.

Design, develop and maintain scalable, secure Java Spring Boot microservices and REST APIs; implement frontend integrations with React/TypeScript; apply secure coding and unit testing; contribute to CI/CD, containerized deployments, and cloud operations; participate in design reviews, mentor engineers, and collaborate with product and stakeholders to deliver production software.

Design, develop and maintain production-grade Python services and cloud-native platforms on AWS and on-prem Kubernetes. Own application platform reliability, scalability, observability, incident response, and collaborate across teams to deliver secure, testable solutions and self-service platform capabilities.

Design and govern cloud-based data architectures and lakehouse solutions using Spark and Airflow on AWS. Lead architecture for ingestion, processing, storage, analytics, and governance, guide Python/SQL pipelines, optimise performance, support operational troubleshooting, and collaborate with stakeholders and engineering teams to deliver secure, resilient enterprise data platforms.

Design, develop, and execute automated test strategies and scripts for cloud-based systems. Collaborate with engineers and stakeholders to validate functionality, performance, and APIs, integrate automation into CI/CD, perform root cause analysis, and drive continuous improvement of testing frameworks and processes.

Design, develop, and deploy enterprise-grade generative AI solutions using LLMs, RAG, and prompt engineering. Build backend AI services and APIs in Python (Flask/FastAPI), integrate models with enterprise systems, optimize for production, mentor junior engineers, and document architectures and workflows.

Serve as a trusted technical advisor for data center networking: design, implement, and optimize Cisco-based DC solutions (Nexus, ACI, VXLAN). Lead customer engagements, resolve escalations, create delivery artifacts (HLD/LLD/implementation plans), and mentor teams while integrating network services and multi-cloud/network virtualization components.

Architect and develop large-scale, cloud-native services and real-time systems. Lead SDLC, mentor engineers, drive AI-augmented development, ensure operational excellence, testing, and security compliance.

Design, develop, and optimize large-scale PySpark ETL/ELT pipelines on Databricks. Implement Delta Lake lakehouse architectures, tune Spark jobs, write complex SQL, monitor production, enable CI/CD, mentor junior engineers, and collaborate with stakeholders on scalable data solutions.

Design, develop, and maintain enterprise-grade Java Spring Boot microservices and responsive React front-ends. Build and consume REST APIs, ensure performance, security, scalability, participate in code reviews, testing, production support, and Agile delivery within Banking/Financial Services.

Build, refactor, and maintain full-stack applications using Python backends and modern frontends. Develop RESTful APIs, data processing with Pandas and SQL, design databases, implement CI/CD, testing, and deployment, and collaborate cross-functionally to deliver scalable, maintainable systems.

Design and review custom industrial refrigeration and gas compression systems: perform calculations, select components, create P&IDs and documentation, ensure code compliance, support production, procurement and cross-functional teams, and assist sales/quotes.

Design, build and maintain data pipelines, data lakes and warehouses using PySpark, Snowflake and AWS analytics stack. Implement scalable ETL/ELT, ingestion, transformation, and reusable components; collaborate with data scientists and stakeholders; ensure data security, governance and operational excellence.

Design, build, and maintain reliable, scalable, and secure infrastructure (primarily AWS). Implement automation, IaC, CI/CD, monitoring and incident management. Troubleshoot root causes, collaborate cross-functionally, and contribute to operational policies and team development.

Lead data-driven testing and analytics for Financial Crime controls. Design and execute analytical test scripts (SQL, Python, SAS), analyse large datasets, create dashboards, advise on remediation, drive automation and AI-enabled testing, and partner with Compliance, Technology, Risk and Operations to strengthen control oversight.

Design, develop, test, deploy, and operate scalable backend-to-UI applications. Participate in estimation, architecture, and agile delivery. Troubleshoot performance and production issues, apply modern practices like microservices, CI/CD, and cloud, and document code for team collaboration.