Top AWS Jobs in Pune

Design, build, and operate tools and systems to deploy and scale applications and data across hybrid cloud and physical environments. Support platform reliability, CI/CD pipelines, logging, monitoring, vulnerability detection, and hundreds of data pipelines. Collaborate with data engineering teams and troubleshoot complex system, network, and application issues.

Lead and grow agile engineering teams to design, build, and operate large-scale, distributed payment systems. Provide hands-on technical leadership across architecture, code quality, testing, CI/CD, security, and cloud-native deployments while partnering with product and program teams to ensure predictable, high-quality delivery.

Design, build, and maintain scalable data pipelines and cloud data platforms to support AI/ML workloads. Deploy, monitor, and operationalize machine learning models, implement CI/CD and MLOps, ensure data quality, scalability, and governance while collaborating with data scientists, engineers, and stakeholders.

Owner of SailPoint's SaaS QMS: maintain policies, coordinate evidence and audits across multiple frameworks, run internal audit and CAPA programs, embed quality in engineering workflows, support GxP vendor qualification for life-sciences accounts, and drive evidence automation and continuous improvement.

Deliver end-to-end data engineering and technology solutions for clients: translate business requirements to technical designs, lead teams to build ETL/data pipelines on Databricks and Snowflake, optimize queries and pipelines, manage project delivery and client communications, mentor junior staff, and ensure security, monitoring, and operational readiness.

The Senior Software Engineer will develop macOS applications and backend services in Java and Go, collaborating internationally and mentoring juniors.

Develop, test, and maintain Java-based microservices using Spring Boot and REST APIs. Design and manage CI/CD pipelines with Jenkins, GitHub Actions or GitLab CI/CD, integrate SonarQube and quality/security tools, collaborate with cross-functional teams, troubleshoot builds/deployments, and support continuous improvement of deployment and monitoring processes.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Design and implement secure multicloud (especially Azure) architectures, define security standards, lead threat modeling and risk assessments, automate cloud security (IaC/CI-CD), integrate AI/ML for detection and automation, mentor engineers, and partner with cross-functional teams to ensure secure AI model lifecycle and cloud operations.

Design and implement cloud automation and platform architecture to migrate monolithic Rails apps to containerized microservices on EKS/AKS. Build tooling with Terraform, Ruby, YAML and scripting, drive AWS platform initiatives, ensure observability with New Relic, and mentor junior engineers to improve cloud operations and SRE capabilities.

Lead design, deployment, automation, and support of large-scale cloud networking (AWS/Azure/GCP). Implement and operate firewalls, VPN, IDS/IPS, DNS, BGP. Build infrastructure-as-code (Terraform/CloudFormation), monitor performance, mentor network engineers, participate in design reviews and on-call rotation, and occasionally travel.

As a Senior Technical Program Manager, you'll collaborate with engineers to develop B2B payment solutions, managing projects from inception to completion and ensuring effective communication across teams.

Lead design and deliver secure, scalable Java-based microservices and RESTful APIs for global authentication products. Drive architecture, mentor engineers, collaborate with product owners, ensure non-functional requirements, deploy via CI/CD and container orchestration, and promote technical excellence and reuse across teams.

Design, develop, test, and maintain Java-based microservices and enterprise applications. Build automated tests and CI/CD pipelines, troubleshoot production issues, support deployments, mentor engineers, and drive quality and process improvements.

Designs, builds, and operates scalable ETL/ELT data pipelines and curated datasets on Hadoop/cloud platforms using PySpark, Python, and SQL. Ensures data quality, governance, performance tuning, CI/CD for data workflows, and supports analytics and ML-ready datasets. Participates in on-call rotations and cross-functional stakeholder communication.

Partner with product and engineering to analyze product data, define user stories, build MVP reports, monitor product performance, track KPIs, participate in Agile ceremonies, and contribute to product roadmaps and feature opportunities.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

The Enterprise Architect will design R&D IT solutions, enhance analytics platforms, ensure regulatory compliance, and mentor teams while collaborating with multiple stakeholders.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

The Lead - Full Stack Web Applications will provide technical leadership in developing scalable web platforms, focusing on architecture, engineering standards, and application delivery, while mentoring engineers and ensuring best practices across the stack.

Maintain and improve cloud environments by analyzing systems, reducing incidents, performing root cause analysis, automating tests, monitoring performance, troubleshooting across stack, and driving reliability improvements.

The Lead, Big Data Analytics & Engineering will oversee data engineering, analytics enablement, and collaboration across teams, focusing on high-quality data platforms and solutions.

Responsible for leading high-quality software development for payment applications using Java, Spring Boot, and AWS, focusing on digital payments solutions.

Lead and coach backend engineering teams to design, build, deploy, and operate global digital payment authentication products. Hire and develop talent, drive architecture, prioritize technical debt, ensure cloud-native deployments, testing strategies, and engineering productivity across services.

Lead design and implementation of end-to-end network monitoring and observability for global payment infrastructure. Build real-time telemetry pipelines, define SLAs/SLOs, perform incident forensics, ensure PCI-DSS compliance, drive automation and AI/ML anomaly detection, evaluate observability tools, and mentor engineering teams.