Top AWS Jobs in Chennai

Lead modernization of a large-scale AWS data platform: design, build, and optimize scalable ETL/ELT pipelines, migrate Airflow/EMR to AWS-native services (Glue, MWAA), implement data lake/warehouse solutions, enforce data governance/lineage/metadata, build data quality and monitoring frameworks, automate deployments with IaC, and support BI (QuickSight) and Power BI migration, UAT, and production support.

Design, build, and maintain scalable cloud-native data pipelines and dimensional data models using DBT, SQL, and AWS services. Implement infrastructure-as-code with AWS CDK, automate CI/CD, ensure data quality and governance, optimize performance, and collaborate with cross-functional teams and offshore partners to deliver analytics-ready data assets.

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.

Design, develop, and deploy AWS cloud-native and serverless applications. Build Lambda-based APIs, microservices, and CI/CD pipelines; integrate with AWS services and third-party tools; implement monitoring, logging, and alerting; troubleshoot production issues; collaborate with customers and teams to meet technical requirements and improve architecture.

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.

Manage and maintain Linux/Windows servers across multi-account AWS environments including OS lifecycle, patching, hardening, backups, monitoring, vulnerability remediation, EBS/AMI management, and incident RCA while collaborating with DevOps, cloud engineering, and security teams.

Operate and maintain Linux/Windows servers in multi-account AWS environments: OS provisioning, patching, hardening, backups, monitoring, troubleshooting (CPU, I/O, networking), EBS and AMI management, vulnerability remediation, log management, RCA, and collaborate with DevOps/cloud/security teams.

Build and maintain ETL pipelines into Snowflake using AWS services (S3, Glue, Lambda). Use orchestration (Control-M), CI/CD (Jenkins), and GitHub for deployments. Perform data analysis and support reporting (Tableau) and Postgres integrations.

DevOps Engineer role requiring 6-9 years' experience. Must have Python, Docker, Kubernetes, and Terraform skills. CI/CD, AWS and general DevOps experience are desirable. Location indicated as CHN.

Design, develop, and optimize AWS Glue ETL pipelines integrating data from S3, RDS, Redshift, and other AWS services. Transform data into analytics-ready formats, ensure data quality and security, tune performance, orchestrate workflows (Step Functions/Airflow), monitor jobs, and collaborate with analysts and stakeholders to deliver scalable data lake and warehouse solutions.

Own and maintain backend services using .NET and AWS Serverless (Lambda). Build Kafka producers with AVRO/schema registry integration, design DynamoDB schemas, implement REST API integrations, ensure observability, reliability, and performance, and create backfill tooling while collaborating with cross-functional teams.

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.

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.

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.

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.

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, 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.

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.

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 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 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.

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 (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.