Top AWS Jobs in Bangalore

Design, build and maintain event-driven, containerised microservices for a cloud-based trading platform. Lead architecture, resolve complex issues, deliver resilient solutions, implement DevOps pipelines, enforce testing and code quality, and collaborate across cross-functional and scaled agile teams.

The Lead AWS Engineer will build and manage a scalable AWS platform, focusing on automation, incident management, platform reliability, and mentoring junior engineers while collaborating with stakeholders.

Design, build, and operate AWS serverless services, ETL pipelines, APIs, and database solutions to power product, content, and search capabilities integrated with AEM, PIM, Coveo, and eCommerce platforms. Ensure scalability, security, observability, CDN integration, and production support within an agile product POD.

Lead DevOps initiatives to design and build large-scale, cloud-native AWS solutions. Automate infrastructure with Terraform, implement CI/CD pipelines, containerize applications with Docker and Kubernetes, script automation in Python/Bash, and monitor systems using Datadog while collaborating with engineers and architects.

Provide DevOps/SRE/platforms support including ticket queue management, monitoring, and on-call rota for London/Bermuda. Build and maintain IaC and automation (Terraform, ARM), create YAML CI/CD pipelines in Azure DevOps, support Azure IaaS/PaaS/SaaS, manage server OS (Windows/Unix), and develop scripts (PowerShell, Bash, Python, CLI/REST).

Design, build, test, and support features for the DashX shell, React microapps, shared frontend libraries, and supporting services. Deliver reusable components, documented APIs, and CI/CD-backed changes; improve reliability using telemetry, tests, and runbooks; investigate defects and operational signals across authenticated APIs and AWS workloads.

Senior software engineer responsible for automation and scripting across AWS (CLI/SDKs, Boto3), Groovy, CI/CD pipelines, CloudFormation, ML automation, and hands-on AWS services (EC2, S3, RDS, Lambda). Database background is a plus.

Design and develop backend services using Java/J2EE and Spring Boot. Build REST APIs, handle multithreading, work with SQL/Oracle and ORM (Spring Data JPA/Hibernate), use Unix/shell scripting, and integrate messaging platforms (ActiveMQ/Kafka). Collaborate in Agile teams and communicate effectively with stakeholders. Cloud, UI, and financial domain exposure are desirable.

Design, develop, and support cloud-ready application platforms for fund and investment operations. Participate in planning, execution, and delivery; implement Java/Spring Boot services, REST APIs, database integration, messaging, and scripting; collaborate with product teams to solve business problems and align with technology blueprint.

Design, build, and maintain high-scale, high-reliability backend services. Collaborate with cross-geo engineering and design teams, implement best engineering practices, build platform capabilities, write automated tests, and participate in technical reviews and demos.

Develop and maintain Java (8+) web applications using Spring Boot. Design, build, and document customer-facing RESTful APIs. Work with AWS services (SQS, Lambda, DynamoDB, RDS, S3, Kinesis, CloudFormation). Interpret high-level requirements, ask clarifying questions, self-learn, manage time, and deliver across the full development lifecycle to production.

Develop and maintain Java backend services and REST APIs using frameworks like Spring. Build on AWS (S3, DynamoDB, Glue, Kinesis), deploy on Kubernetes, and work with NoSQL datastores. Collaborate on monitoring, CI/CD, and data pipeline integrations.

Operate and support cloud infrastructure with weekend on-call responsibility. Manage AWS services, databases, Snowflake, job schedulers, ITSM, monitoring platforms, and automate with Python/shell scripting.

Design and develop high-performance, fault-tolerant Java/J2EE microservices on AWS. Build REST APIs, backend SQL/stored-procedure components, and message-driven systems using Kafka. Deploy containerized (Docker/Kubernetes) 12-factor apps to AWS EKS, use CI/CD pipelines, and perform performance tuning and monitoring with Datadog/Splunk. Work in DevOps environments, apply FinOps practices, prototype POCs, and lead cross-team communication and technical decisions.

Design and develop Java/J2EE applications using Core Java, Servlets/JSP, Spring Boot and REST services. Implement multithreaded logic, database interactions (SQL/Oracle, ORM), messaging (ActiveMQ), and basic Unix/shell scripting. Collaborate in agile teams and communicate effectively; cloud, scheduling, UI, and financial domain exposure are beneficial.

Senior Software Engineer role in Chennai (6-9 years) responsible for building Java/J2EE REST APIs and services using Spring (MVC/Core/Boot), working with JavaScript, JSON/XML, DynamoDB, Oracle/PostgreSQL, and participating in CI/CD practices. Front-end frameworks (Angular/React) and NodeJS are nice-to-have.

Design and build Python-based microservices and REST APIs using FastAPI. Deploy and operate services on AWS (EC2, S3, Lambda, RDS) with secure networking (VPC, IAM). Containerize and orchestrate workloads with Kubernetes and manage YAML manifests. Implement data flows with Apache NiFi, build CI/CD pipelines (Jenkins, Git, Kompass), optimize relational DBs with SQL, and deliver features in an Agile environment.

Develop and modernize brokerage platform components using Java/Spring Boot microservices and AWS services. Build REST APIs, collaborate with the Core Brokerage Platform team, and support platform enhancements and integrations.

Build, support, and test large-scale AWS cloud-native applications using Java and Apache NiFi to integrate data across AWS services. Own secure SDLC and CI/CD practices, implement microservices/serverless/event-driven architectures, and collaborate with stakeholders to deliver high-quality software.

Lead architecture, implementation, migration, and support of advanced Amazon Connect contact center solutions. Build AI-driven conversational experiences using Amazon Bedrock, AgentCore, Nova, and Lex V2. Integrate Connect with CRMs/WFM, implement RAG/vector-store patterns, mentor engineers, define reference architectures, and serve as technical escalation and trusted advisor for enterprise customers.

Design, deploy, and optimize cloud-native AWS infrastructure and CI/CD pipelines; manage and monitor Kubernetes-based services; automate provisioning with IaC; mentor team members and support project planning to ensure scalable, resilient deployments.

Design and lead enterprise solution architectures across cloud-native, microservices, and batch systems. Translate business requirements into scalable, secure AWS-based solutions; define APIs, integrations, and deployment patterns; collaborate with product, DevOps, security, and engineering teams; evaluate technologies and mentor engineering teams.