Top AWS Jobs in Bangalore

As a Principal Engineer for Data Infrastructure, you'll oversee our databases and data warehousing, optimize performance, and lead technology integrations to enhance data processing capabilities.

Design and implement integrations on the Arcesium platform, engage clients to deliver strategic technical solutions, coordinate cross-functional teams, manage risks and R&D roadmaps, and mentor peers in project management practices.

Lead cloud engineering and DevOps efforts: analyze client requirements, design and automate cloud infrastructure, implement IaC and CI/CD, improve monitoring and security, document deliverables, mentor junior engineers, and support stakeholder communications.

The Expert Software Engineer will design and build scalable data platforms and APIs, focusing on distributed processing with Apache Spark and backend engineering using Java. Responsibilities include data pipeline creation, performance optimization, and collaboration with stakeholders to deliver reliable data solutions.

Design, provision, and maintain secure, scalable AWS infrastructure (EKS/ECS); build and optimize CI/CD pipelines (GitLab CI, Azure DevOps); implement IaC with Terraform and Ansible; write automation and tooling in Python/Java/Golang; monitor and improve platform reliability; collaborate with .NET development teams to streamline cloud deployments.

Design, build, and maintain scalable automated test frameworks for web, mobile, and APIs; write high-quality automation code; integrate tests into CI/CD pipelines; create test strategies and plans, build testing tools and mocks, and collaborate with product and engineering teams to ensure software quality and reliability.

Lead and mentor a software engineering team to design, build, and operate secure, scalable Java-based microservices. Provide hands-on technical direction, drive architecture and DevOps best practices, manage projects and budgets, collaborate with product and stakeholders, and participate in rotational on-call responsibilities to ensure system reliability and continuous improvement.

Design, lead, and mentor development of scalable, secure cloud-based SaaS solutions. Evaluate and integrate new technologies, review designs for compliance with standards, troubleshoot complex system issues, and provide technical leadership across projects. Communicate architecture and design decisions to stakeholders and drive improvements in reliability and time-to-market.

Design and develop system and embedded software for WLAN controller infrastructure across on-prem and cloud platforms. Perform feasibility studies, coding, integration, testing, debugging, provide architecture input, mentor junior engineers, and communicate technical roadmaps to leadership.

Develop, enhance, and support SAP ABAP solutions across ECC and S/4HANA including RICEFW, integrations (RFC/BAPI/IDoc/OData), performance tuning, testing, transports, deployments, and incident resolution. Collaborate with functional teams, support on-call rotations, maintain secure coding and documentation, and mentor junior team members.

Design, implement, and maintain hybrid IT infrastructure across on-premises Windows/Linux and Azure. Lead migrations, DR strategies, virtualization, storage and backup integration, create architecture and runbooks, mentor engineers, and ensure security and compliance for enterprise services.

Lead and grow multiple engineering pods to design, build, and operate cloud-native data platform and GenAI services on AWS/Kubernetes. Drive product outcomes, data monetization, cross-functional delivery, engineering best practices, performance management, and external evangelism.

Lead design and implementation of full‑stack SaaS features, own product areas from inception to launch, drive architecture and technical direction, mentor engineers, collaborate with product and design, and ensure high quality, scalable frontend and backend systems.

Plan, execute, and report QA activities for ETL pipelines and analytics solutions. Design and run test cases, validate ETL processes, track defects, participate in Agile ceremonies, mentor juniors, and drive test automation and data quality improvements across databases and downstream analytics.

As a Principal Software Engineer, you will architect and develop enterprise-grade applications, lead technical guidance, and mentor teams, ensuring product quality and innovation.

The role requires a Data Engineer with over 4 years of experience in SQL and Python, and skills in Spark, Airflow, and GCP.

Develop software solutions for trade processing and fund accounting, manage application upgrades, and collaborate with business stakeholders. Focus on .Net technologies and agile methodologies.

The Enterprise Architect will develop cloud architecture and strategies, collaborate with stakeholders, and influence technology solutions to align with business goals.

The Software Engineer develops software solutions, focusing on scalable systems, UI development, code optimization, and security. They work with multiple technologies and follow agile methodologies for continuous improvement.

We are seeking a Full Stack Developer with 6+ years of experience in .NET and React to innovate, build, and maintain technology services addressing complex business problems.

The role involves managing and maintaining DB2 databases on z/OS, troubleshooting service outages, optimizing performance, and automating tasks. Responsibilities include backup testing, tuning queries, and supporting operations teams. Experience in REXX and various DB2 tools is required, with a preference for database upgrade and patching knowledge.

Lead the design, development, and deployment of Java/J2EE applications, while mentoring engineers and collaborating with stakeholders.

The Principal Software Engineer will lead architectural development, mentor teams, integrate AI/ML tools, and align technical strategy with business outcomes.

Lead software engineering efforts with a focus on distributed systems, APIs, and cloud architecture utilizing Java and Python. Drive CI/CD strategies and advocate for AI/ML tools to enhance code quality.

Lead technical direction for software systems development, focusing on architecture, cloud solutions, and team velocity while fostering adoption of modern tools in AI/ML.