Top AWS Jobs in Pune

Lead and manage an engineering team: hire, develop, and retain talent; drive delivery quality and metrics; design scalable event-driven and REST API solutions; collaborate with SRE on operational SLAs/SLOs; own CI/CD practices, system stability, performance, and cross-team integrations.

Validate and test models across credit risk, marketing, fraud, and account management; use GCP to automate workflows; execute AI validation projects; collaborate cross-functionally; contribute to AI/model risk management policies and maintain regulatory best practices.

Design, build, and maintain enterprise cloud landing zones and shared services. Implement IaC, CI/CD, security guardrails, networking, observability, and cost optimization. Enable self-service provisioning, collaborate with application and security teams, provide documentation and training, and participate in incident response for foundational cloud services.

Design, develop, and maintain high-performance React Native and native iOS applications. Collaborate with product, design, and backend teams to implement scalable architectures, integrate REST APIs, build reusable UI components, enforce secure coding and testing practices, troubleshoot across iOS devices, and participate in code reviews within Agile/Scrum processes.

Design, develop and maintain high-quality React Native and native Android applications. Build reusable UI components, integrate RESTful APIs and state management, optimize performance, implement testing and CI/CD, ensure mobile security and compliance, troubleshoot production issues, and collaborate across product, design, and backend teams.

Design and maintain enterprise IT and data architecture focused on data governance, MDM, metadata/catalog, and data quality. Lead technical design, implement MDM and metadata solutions, enable AI-driven automation, collaborate with stakeholders, mentor architects, and recommend technologies to improve data discoverability, reliability, and business value.

Design, develop, and maintain Java/Spring Boot enterprise applications and microservices. Build REST APIs, optimize SQL Server databases, integrate with Kafka and middleware, implement CI/CD and automated tests, ensure secure coding, support production incidents, and contribute to architecture, resilience, and documentation while collaborating with product, DevOps, and stakeholders.

Design, build, deploy, and operate agentic LLM-based systems to automate data governance and stewardship. Develop production-quality code, integrate agents with data platforms and governance tools, implement Responsible AI guardrails, monitor agent performance, and scale solutions enterprise-wide while producing documentation and enabling other teams.

Design, develop, and execute comprehensive test plans and automated test frameworks (API, UI, end-to-end). Lead/root-cause defects with developers, integrate tests into CI/CD, mentor teams, and collaborate with stakeholders to drive quality engineering and testing governance.

Design, develop, and deliver scalable UI and backend software. Collaborate with product, design, and engineering teams; ensure secure, testable code; integrate UIs with REST/microservices; lead design discussions, code reviews, mentoring, and drive engineering best practices in an Agile environment. Role requires 8+ years and is based in Pune.

Design, build and maintain data pipelines, data warehouses and data lakes on AWS. Develop processing and analysis algorithms, collaborate with data scientists to deploy ML models, lead or support a team, ensure data security, accuracy and compliance, and drive continuous improvement.

Design, build and maintain data pipelines, warehouses and lakes on AWS. Ensure data quality, security and accessibility. Develop processing algorithms, collaborate with data scientists to deploy ML models, and lead/coach teams while managing risk and controls.

Design, build and maintain data pipelines, warehouses and data lakes on AWS. Develop processing and analysis algorithms, ensure data accuracy, security and governance. Collaborate with data scientists to deploy ML models. Lead or coach teams, advise on policy, mitigate risk and communicate complex technical information to stakeholders.

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

The role involves designing and developing high-quality software solutions, leading a team of engineers, and ensuring alignment with business objectives through cross-functional collaboration.

The Java Developer will design and develop software solutions, ensure code quality, collaborate with teams, and implement secure coding practices while leading complex projects.

Design and develop high-quality software solutions, collaborate cross-functionally, ensure secure coding practices, and lead team efforts in software engineering.

The role involves building and maintaining data systems, developing data architectures and pipelines, and collaborating with data scientists on machine learning models.

Design, build and maintain data pipelines, warehouses and lakes. Implement processing and analysis algorithms, ensure data security and quality, collaborate with data scientists to deploy ML models, and lead or mentor team members while partnering with stakeholders.

As a Site Reliability Engineer, ensure system reliability, design and implement scalable cloud solutions, automate operational tasks, and collaborate with teams on best practices.

Design, develop and deliver scalable, secure Java-based software and microservices. Collaborate across teams, lead technical design and code reviews, implement CI/CD, unit testing, and performance tuning, and mentor engineers while aligning solutions with business objectives.

Develop, test, and maintain Python-based software and data pipelines; design scalable applications; collaborate on feature delivery; participate in code reviews; integrate, debug, and prioritize features to support machine learning and backend systems.

Manage uptime across cloud-native and hybrid architectures, build IaC with Terraform and cloud SDKs, create CI/CD pipelines, automate deployments and runbooks, triage incidents, perform on-call incident response, lead postmortems, and improve system reliability and MTTR.

Lead operational ownership of the enterprise Azure Central Kubernetes (AKS) platform, ensuring availability, security, scalability, and lifecycle management. Manage a global Kubernetes platform engineering team, drive automation, GitOps, IaC, incident and capacity management, security/compliance, cost optimization, and executive reporting. Partner with stakeholders and vendors to increase platform adoption, reliability, and operational maturity.

Lead operational management and reliability for enterprise cloud data platforms (Snowflake, Databricks). Own incident/problem/change/capacity management, SLAs/SLOs, automation, disaster recovery, executive reporting, vendor/stakeholder management, and people leadership to ensure secure, scalable, cost-efficient data services supporting analytics and AI/ML.