Top AWS Jobs in Chennai

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.

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.

Design, build and maintain ETL mappings and data models; write SQL and Snowflake queries; manage ETL/infrastructure on AWS (EC2); use Informatica, Control-M and ServiceNow; script in Python/Shell/PowerShell; collaborate with onshore/offshore teams and define BI delivery strategy.

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 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, 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.

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.

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.

Build and maintain ETL pipelines and data warehouses on AWS/Snowflake to power multi-channel marketing reporting and self-service analytics. Develop dashboards (Tableau/PowerBI/Qlik), ensure data quality, manage latency/completeness, and support ad-hoc exports and reporting rationalization.

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.

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.

Develop and maintain Java-based microservices using Spring/Spring Boot and REST APIs. Build/debug cloud-native services on AWS (S3, Lambda, RDS), use Hibernate, collaborate in Agile teams, and manage code with Git and Jira.

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.

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.

Senior software engineer responsible for developing cloud-based solutions using AWS services (S3, Lambda, RDS, DMS, Kinesis, EC2), Python scripting, and SQL/Oracle PL/SQL. Role requires strong debugging and analytical skills and working knowledge of Agile methodologies. Nice-to-have experience includes CloudFormation, Glue, Step Functions, data migration, microservices, ETL tools, and Java REST web services.

Lead design, operate, and improve managed file transfer platforms (IBM Connect:Direct, DataPower, AWS Transfer Family). Ensure high availability, security, compliance, onboarding support, incident response, automation, lifecycle management, disaster recovery, and observability while collaborating with application, infrastructure, security, and external client teams.

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, build, and maintain secure, high-performance backend systems and RESTful APIs in Python on AWS. Integrate Pindrop and contact center solutions (Amazon Connect), work with SQL/NoSQL databases, implement CI/CD, observability, and infrastructure-as-code (CloudFormation/Terraform), and support migrations from legacy contact center platforms.

Lead architecture and execution of mainframe (COBOL/JCL/CICS/DB2) migrations to AWS, define reference architectures, recommend AWS services, evaluate modernization tools, enable containerization/serverless and DevOps, run PoCs, and build organizational capability for cloud modernization.

Design, implement, and maintain scalable AWS infrastructure and CI/CD pipelines. Automate provisioning (Terraform/CloudFormation/Ansible), manage containers (Docker/EKS), ensure monitoring, security, cost optimization, and disaster recovery, and collaborate with development and QA for reliable deployments.

Lead design and delivery of Generative AI solutions using Amazon Bedrock and orchestration frameworks. Build CI/CD pipelines, manage full-stack AWS infrastructure, ensure observability and AI governance, collaborate with stakeholders, apply Agile practices, mentor engineers, and integrate new AI innovations into production systems.

Lead security operations, incident response, and threat hunting. Manage cloud and application security across AWS/Azure, secure CI/CD and SDLC, handle compliance (ISO27001, SOC 2, NIST, GDPR, DPDP), support pre-sales security assurances, and mentor junior analysts to improve organizational defenses.

As a Forward Deployed Engineer, you'll drive technical success for customers adopting Rocketlane's Nitro AI agents, handling deployment, integration, and continuous optimization while serving as a trusted advisor throughout their journey.