Top AWS Jobs in Chennai

Design and develop scalable web applications with a primary focus on React-based front-end development. Build reusable UI components, integrate REST APIs and backend services using Java or Scala, work with engineering, product, and data teams, and troubleshoot and optimize production systems. Participate in code reviews, automated testing, CI/CD, and continuous improvement of software engineering practices.

Provides operational and engineering support for mission-critical databases across development, testing, production, and disaster recovery environments. Responsibilities include Oracle database administration, lifecycle management, performance tuning, backup and recovery, high availability, security, monitoring, automation, incident response, deployments, and 24x7 L2 support. The role also supports PostgreSQL, SQL Server, AWS database services, and cross-functional infrastructure and cybersecurity initiatives.

Designs, builds, and maintains high-volume mainframe business logic while modernizing legacy systems for cloud and mobile integration. Responsibilities include performance optimization, debugging complex system interactions, testing, extracting business logic for migration, and developing scalable software using modern architectures, databases, APIs, containers, and messaging systems.

Build and maintain full-stack web applications using React, Next.js, Node.js, Express, TypeScript, MongoDB, and relational databases. Design APIs and data models, integrate third-party services, deploy and support applications on AWS, and monitor production systems. Participate in code reviews, testing, estimation, UAT, and releases while mentoring junior developers and communicating technical decisions to clients and teammates.

Design, develop, and operate enterprise PKI and certificate lifecycle automation using Venafi, PowerShell, C#, APIs, and infrastructure-as-code tools. Build self-service provisioning, renewal, and revocation workflows; integrate certificate automation with CI/CD, cloud, identity, and security platforms; and manage platform upgrades. Troubleshoot distributed Windows and Linux environments, improve resiliency and observability, and provide technical leadership for scalable, engineering-driven automation solutions.

Leads and mentors DevSecOps and security engineering teams while integrating SAST, DAST, vulnerability management, secrets management, and cloud-native security into enterprise CI/CD pipelines. Designs secure architectures for applications, APIs, containers, Kubernetes, and infrastructure as code. Drives Secure SDLC, threat modeling, security initiatives, observability, and automation across Agile, Scrum, and SAFe environments while influencing technical and executive stakeholders.

Conducts vulnerability assessments across on-premises, cloud, network, endpoint, and application environments; validates findings, evaluates business risk, prioritizes remediation, and tracks risk reduction. Partners with technical and business teams to resolve vulnerabilities, identify unsupported assets, maintain scanning and discovery platforms, analyze threat intelligence and security data, support incident response, and improve vulnerability management processes, automation, reporting, documentation, and remediation workflows.

Lead and mentor the DevOps team while designing, maintaining, and improving Linux-based build and test infrastructure. Responsibilities include developing CI/CD pipelines, automating provisioning with configuration management tools, maintaining test orchestration, optimizing performance, managing updates and patches, monitoring infrastructure health, troubleshooting issues, and documenting systems and procedures.

Leads enterprise-wide data and AI strategy for drug development, including platform roadmaps, architecture, GenAI and agentic frameworks. Directs multidisciplinary engineering teams from prototype through compliant production delivery; establishes data governance, AI/ML controls, API and event-driven integration standards, and DevOps, DataOps, and MLOps practices. Oversees secure, traceable, monitored AI and RAG solutions while influencing technology choices, vendor partnerships, and engineering standards across the organization.

Leads enterprise Data and AI strategy for drug development, including platform investments, architecture, GenAI, agentic systems, governance, and production engineering standards. Oversees multidisciplinary teams delivering secure, compliant AI-native products, scalable data platforms, APIs, automated pipelines, and monitoring frameworks. Establishes controls for data integrity, ML governance, RAG reliability, security, and operational performance while mentoring engineers and influencing senior stakeholders.

Leads and mentors full-stack engineering teams while delivering hands-on development across Next.js, React, .NET, backend services, databases, cloud infrastructure, CI/CD, and Kubernetes. Designs scalable APIs, event-driven systems, data schemas, and secure application architectures. Oversees Azure or AWS deployments, Agile delivery, stakeholder reporting, and external team coordination.

Deliver and support Genesys Cloud implementations for enterprise customers and partners. Responsibilities include technical consultation, post-sales implementation, production support, troubleshooting, customer escalations, testing, project-plan execution, training, documentation, and operational service management. The consultant collaborates with project and service delivery teams, supports Agile and Waterfall engagements, communicates project status, maintains billable utilization, and develops expertise across Genesys products.

Lead Java technical consultant responsible for software development lifecycle activities, including estimation, architecture, design, implementation, testing, documentation, deployment, and support. Leads requirements gathering and technical planning, mentors developers, collaborates with architects and clients, and delivers innovative solutions using Java, Spring, AWS, and SQL. Requires 8+ years of application development experience, strong computer science fundamentals, Agile experience, consulting or client-facing skills, and effective communication abilities.

Design and implement the core front-end web application including onboarding, authentication, and quote/bind/pay flows with complex dynamic forms. Build reusable UI libraries and components, drive UI/UX best practices, introduce AI-assisted tooling, perform code reviews, improve system quality and scalability, and collaborate cross-functionally across the stack.

Leads the design, development, deployment, and production support of complex software systems. Makes system-level architecture decisions, ensures scalability, reliability, security, observability, and compliance, and uses AI-assisted tools responsibly. Mentors engineers, conducts design and code reviews, resolves technical blockers, improves engineering practices, and collaborates with product, architecture, security, cloud operations, and quality teams. The role requires hands-on programming, distributed-systems expertise, automated testing, CI/CD, operational readiness, and production troubleshooting.

Develop and deploy traditional ML, Generative AI, RAG, and agentic applications. Responsibilities include designing AI systems, building APIs and end-to-end ML pipelines, leveraging AWS and Azure services, optimizing retrieval performance, implementing evaluation and observability, and supporting production deployments. The role collaborates with technical and business stakeholders across experiments, pilots, and scalable solutions.

Senior backend-focused engineer responsible for designing and delivering features in Go and React, building scalable distributed architectures, mentoring teammates, coordinating with product and business stakeholders, instrumenting production systems, and leading small teams to ship high-quality APIs and services.

Build and enhance backend services and applications for Galaxy’s internal Finance One platform using Go and relational databases. Partner with Finance and Accounting stakeholders, maintain system reliability and data accuracy, support production users, investigate issues end to end, and contribute to technical designs, code reviews, testing, deployment, and engineering standards. The role also involves developing finance-related data solutions and supporting new Finance Engineering initiatives.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Provides expert technical support for infrastructure services, resolves complex issues, monitors and troubleshoots systems, supports infrastructure projects, improves service efficiency, and documents incidents and configurations. Requires strong infrastructure technology analysis, data analysis, problem-solving, and technical expertise. The role typically requires five or more years of relevant experience, with certifications such as Cisco CCNA, AWS Certified Solutions Architect, or CompTIA Security+ preferred.

Lead the architecture, development, deployment, and operation of AI/ML solutions for identity and access security. Build scalable pipelines, inference services, monitoring, and MLOps capabilities using cloud platforms. Integrate anomaly detection and behavioral analytics into IAM, PAM, and secrets-management workflows. Partner with cybersecurity and engineering teams, establish applied AI security standards, influence technical roadmaps, and mentor junior engineers.

Design, develop, and maintain secure, highly available microservices on AWS. Build backend services and occasional frontend features, work with relational and NoSQL databases, support CI/CD and Kubernetes deployments, resolve production issues, participate in on-call operations, improve observability, review code, document systems, and mentor engineers.

Develop, enhance, and maintain Tungsten platform features, modules, and integrations. Translate business requirements into scalable technical solutions, write maintainable full-stack code, troubleshoot complex issues, and ensure stability through testing and automation. Optimize performance, security, and user experience while collaborating with product owners in Agile environments. The role also involves enterprise SaaS, workflow, rules engine, document processing, cloud, API, and third-party system integration work.

Leads daily Security Operations Center activities, including 24/7 monitoring, threat detection, incident investigation, response, and mitigation. Oversees SIEM configuration and optimization, threat intelligence integration, automation, reporting, process improvement, and escalation management. Mentors SOC analysts and engineers, develops playbooks and training, and collaborates with network, cloud security, compliance, and other IT teams to strengthen organizational security operations.

Designs, manages, and optimizes SIEM systems for security monitoring and threat detection. Responsibilities include log ingestion, event correlation, alert tuning, incident triage, threat intelligence integration, automation, reporting, and collaboration with SOC and security teams. The role requires cybersecurity experience, SIEM administration expertise, cloud and network security knowledge, scripting skills, and familiarity with major SIEM platforms and security certifications.