Top AWS Jobs in Chennai

Design, implement, and operate security controls across cloud, infrastructure, and SaaS. Lead identity, detection, vulnerability, and incident response efforts; automate controls with IaC; support compliance (SOC 2, ISO 27001); mentor engineers and drive security architecture and detection engineering.

Contract Java Developer to work evening shift (4:00 PM–1:30 AM IST) in Siruseri, Chennai. Must start within two days. Responsibilities center on Java development with experience on Linux, Oracle Database, and AWS environments.

Develop and maintain cloud-native Java/J2EE web applications and RESTful services. Implement front-end features with AngularJS/HTML5/CSS3, use JAXB/XMLBeans and Hibernate/JPA for data handling, work with NoSQL (Cassandra/Mongo) and Oracle databases, and deploy to TomEE/WebSphere/Tomcat using Maven. Troubleshoot, optimize SQL, and collaborate on IVR/telephony integrations when required.

Develop and maintain iPhone applications and integrate with backend services. Requires strong Java and Spring experience, familiarity with REST/SOAP APIs, and optionally AWS and basic networking. Role targets candidates with 3–5 years experience for a Chennai-based position.

Design, automate, and operate large-scale distributed systems. Build tooling for availability, scalability, and efficiency. Partner with engineering teams on CI/CD, monitoring, incident management, and SRE practices; participate in on-call rotations.

Engineer III responsible for developing cloud-based network management software, integrating network devices, optimizing performance, and mentoring junior engineers.

Support Senior Architects in designing networking solutions for enterprise customers, create Bills of Materials, assist in proposal development, and maintain presales content repositories.

Lead architecture and design discussions for cloud solutions; provision and automate infrastructure using IaC and configuration management; support application teams; maintain and improve cloud environments for availability, security, and automation; build CI/CD pipelines and manage containerized microservices.

Lead and grow Cloud Migration and DevOps engineering teams to deliver large-scale AWS migration and modernization programs. Hands-on technical leadership across cloud infrastructure, IaC, CI/CD, migration tooling, containerization, and security. Manage hiring, mentoring, project planning, Agile delivery, presales support, and reusable migration accelerators while ensuring successful mobilization, cutover, and hypercare.

Design and maintain scalable ETL/ELT pipelines, optimize data processes, collaborate with teams for analytics, and ensure data integrity.

Lead the technical strategy and architecture for Appian's platform: design distributed, cloud-native systems, integrate AI features, enforce architectural governance, resolve critical production incidents, build developer frameworks, and mentor senior engineers to drive platform scalability, resiliency, and developer productivity.

The Quality Architect will define and implement quality engineering frameworks, focusing on automation and governance for cloud-native products, mentor teams, and enhance release stability.

Lead and own all engineering teams and Level 1/2 Support (~100 staff) in Malaysia/India. Define and execute the technical vision for AdTech products, ensure sound architecture, on-time delivery, and alignment between product, global engineering, and operations. Drive Agile/DevOps practices, CI/CD, and quality processes while providing hands-on technical and people leadership across distributed teams.

Design, build, test, and operate cloud-based data ingestion and ETL systems. Develop backend services in Golang (with Python where appropriate), run workloads on Kubernetes/AWS, troubleshoot distributed systems, and collaborate to improve scalability, reliability, and performance.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Design, develop, and maintain highly scalable microservices and backends (Java/Spring) for millions of users. Collaborate with product owners, perform code reviews, respond to production incidents, mentor junior engineers, participate in team ceremonies, and potentially share on-call duties.

Own end-to-end architecture and roadmap for a network monitoring product: API and UI, topology and dependency modeling, discovery/onboarding, alert history screens, data contracts with telemetry/classification services, performance-focused topology visualizations, cross-team technical leadership, and mentoring.

Lead test strategy and automation across UI, API, and GraphQL. Build and evolve automation frameworks, integrate AI/LLM evaluation, optimize CI/CD test pipelines, implement performance and monitoring solutions, and mentor QE engineers to embed shift-left quality practices.

Build, operate, and maintain MLOps platforms on AWS for autonomous driving workloads. Implement multi-zone, highly available training and deployment environments, operate distributed multi-GPU training (Ray), and maintain ML pipelines (Airflow, MLflow). Support CI/CD for ML code and infrastructure, ensure reproducible, traceable, auditable ML workflows, and troubleshoot platform-level issues.

Build and operate MLOps platforms on AWS for autonomous-driving ML workloads. Maintain highly available multi-zone training and deployment environments, run distributed multi-GPU training (e.g., Ray), implement Airflow orchestration and MLflow model lifecycle, support GitHub-based CI/CD for code/models/infrastructure, and ensure reproducible, traceable, auditable ML workflows.

Lead MLOps platform and infrastructure for autonomous-driving ML: build multi‑AZ AWS/Kubernetes environments, operate distributed multi‑GPU training, implement Airflow/MLflow pipelines, CI/CD, data ingestion/validation, monitoring, and collaborate with ML teams to deliver safety‑critical production ML systems.

Design and build scalable AI developer platforms and LLM gateways, enable agentic systems and developer SDKs, integrate AI across the SDLC, implement observability and governance, optimize cost and performance, and collaborate with platform, SRE, security, and product teams to productionize AI capabilities.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.