Top AWS Jobs in Chennai

Monitor and support a multi-cloud infrastructure across Azure and AWS, including Windows, Linux, and SQL Server systems. Responsibilities include incident response, alert triage, patching, compliance tracking, network troubleshooting, reliability reporting, runbook improvement, and automation. The role participates in a follow-the-sun on-call rotation and supports VPNs, DNS, subnets, routing, monitoring tools, and infrastructure maintenance.

Leads cloud platform architecture, reliability, modernization, automation, cost optimization, and operational excellence across Azure-based SaaS infrastructure with some AWS. Manages and develops cloud and database engineers, establishes observability and incident-response practices, improves CI/CD, supports highly available systems, and partners with engineering, product, and security teams. The role remains hands-on with Infrastructure-as-Code while overseeing hiring, performance management, capacity planning, and technical strategy.

Own and mature the organization's governance, risk, and compliance program. Responsibilities include maintaining policies and risk registers, conducting risk and vendor assessments, managing control libraries, coordinating audits, testing controls, tracking remediation, administering GRC platforms, responding to security questionnaires, and supporting privacy and incident response compliance. The role advises leadership and cross-functional teams while monitoring regulatory and framework changes.

Own end-to-end security incident response during non-US hours, including alert triage, investigation, containment, remediation, root cause analysis, documentation, and escalation. Maintain SOC playbooks and runbooks, produce incident reports and metrics, improve tooling and automation, and coordinate handoffs with US-based security staff. Investigate events across SIEM, EDR, email, network, identity, and cloud platforms while serving as the primary security operations contact for India-based stakeholders.

Identify, triage, and remediate vulnerabilities in web applications and proprietary software. Refactor .NET/C# code, implement secure coding standards, conduct code reviews, support secure SDLC practices, and assess SAST, DAST, penetration testing, and bug bounty findings. Monitor emerging threats and OWASP Top 10 updates while supporting compliance with FERPA, COPPA, GDPR, UK GDPR, and other data protection standards. The role is fully remote but requires permanent residency in India and specified IST working hours.

Tests AWS Glue data pipelines and file-processing interfaces across functional, integration, reconciliation, regression, performance, resiliency, security, and production scenarios. Defines and validates data quality rules for completeness, accuracy, consistency, validity, uniqueness, timeliness, referential integrity, business rules, and schema consistency. Reviews AWS configurations, parameters, logs, metrics, execution history, authentication, connectivity, retries, timeouts, and delivery validation across S3, SFTP/FTPS, AWS Transfer Family, APIs, and partner endpoints.

Develop, train, deploy, and maintain machine learning and generative AI solutions, including predictive models, NLP applications, chatbots, LLMs, and agentic AI systems. Design scalable ETL pipelines, optimize databases, process large datasets with Spark and Snowflake, and create business visualizations. The role requires expertise across Python, SQL, cloud AI platforms, machine learning frameworks, databases, and data engineering.

Designs and evolves highly scalable backend systems, APIs, distributed workflows, databases, messaging infrastructure, and observability solutions. Leads cross-team architecture initiatives, resolves complex production issues, optimizes performance and data access, establishes reliability and engineering standards, modernizes technical debt, mentors engineers, and remains hands-on with critical systems.

Design, develop, and maintain cloud-native microservices in Java; deploy containerized applications on AWS EKS; work with Aurora/PostgreSQL, Redis; troubleshoot production issues; contribute to architecture and CI/CD.

Leads systems engineering for middleware and distributed platforms, including OpenShift and Kubernetes deployments, CI/CD automation, cloud infrastructure, application onboarding, SSL certificate lifecycle management, security patching, performance monitoring, troubleshooting, and platform integration. Collaborates across teams to resolve technical issues, improve system reliability, and ensure applications meet performance and security standards.

Design and implement enterprise-grade Generative AI and LLM architectures, lead Azure OpenAI and AWS Bedrock integrations, ensure API-based system integration and application security, drive AI/ML DevOps, support RFPs, and mentor teams in prompt engineering.

Leads technical customer success for Splunk security and core platform products. Provides architecture, implementation, configuration, optimization, onboarding, enablement, health remediation, security use-case activation, and strategic consulting. Advises customers and account teams on Splunk Enterprise Security, UBA/UEBA, SOAR, data onboarding, risk analytics, and platform adoption while resolving complex technical challenges and improving customer value realization.

Leads incident command and reliability operations for large-scale payment platforms. Directs engineering teams during critical incidents, authorizes rollbacks and failovers, reviews cloud and Infrastructure-as-Code changes, and drives disaster recovery, observability, automation, capacity planning, and resilience initiatives. Communicates with executives during incidents and postmortems, mentors engineers, and improves incident response tooling, playbooks, and operational workflows. The role operates on alternating 12-hour shifts.

Monitors network, cloud, server, endpoint, and security environments in a 24x7 rotational operation. Performs initial triage and troubleshooting of infrastructure and security alerts, analyzes SIEM and security tool events, manages incidents through ITSM platforms, escalates critical issues, supports incident response and service restoration, and maintains documentation, reports, and shift handovers.

Provides advanced 24x7 operational support for network, cloud, security, and infrastructure services. Responsibilities include resolving high-priority incidents, troubleshooting routing, firewalls, VPNs, Zscaler, Azure, and AWS, conducting root cause analysis, managing changes, coordinating vendors, monitoring capacity and availability, mentoring L1 analysts, and maintaining technical runbooks. Leads major incident resolution and participates in on-call and maintenance activities.

Provides L1/L2 desktop and endpoint support, including device setup, onboarding, troubleshooting, remote assistance, imaging, asset tracking, and access provisioning. Maintains endpoint security, patching, encryption, and compliance controls while monitoring SIEM/EDR alerts. Supports incident response, vulnerability remediation, phishing and malware investigations, cloud security reviews, documentation, and coordination with infrastructure and security teams. This hybrid role is based in New Delhi and requires office attendance two days weekly.

Leads engineering initiatives for credit risk technology, developing scalable full-stack applications and intelligent systems using Agentic AI, machine learning, big data, cloud platforms, and Java technologies. Provides technical direction, architecture oversight, hands-on development, code reviews, mentoring, and adoption of AI-assisted development practices. Partners with global engineering, DevOps, analytics, and business teams to deliver compliant risk-management solutions.

Design, develop, and maintain scalable, reliable backend APIs using Node.js and Express. Implement error handling, logging, performance optimizations, collaborate with frontend and product teams, participate in code reviews, and work with databases, cloud, containers, CI/CD, testing, GraphQL, and message queues.

Designs, implements, supports, upgrades, and optimizes middleware and systems infrastructure using IBM DataPower or IBM MQ. Responsibilities include high-availability configuration, virtualization, storage, data protection, automation, patching, disaster recovery planning, vulnerability remediation, monitoring, capacity reporting, and systems management. The role also mentors technical staff, manages multiple projects, and supports 24/7 rotational operations.

Lead AIOps Engineer who architects and delivers AI-driven operations platforms, integrates AI/ML models and RAG/agentic workflows, owns CI/CD and IaC standards, guides containerized Kubernetes strategy, drives observability and automation, leads client engagements, and mentors engineering teams to ensure maintainable, reliable solutions.

Build and support production-grade Node.js and TypeScript backend services for a SaaS product integrating with Coupa and enterprise applications. Design REST integrations, data mappings, transformations, validation, synchronization, error handling, tests, and troubleshooting workflows. Deploy containerized services on AWS, support CI/CD, observability, customer implementations, and multi-tenant configurations. Collaborate through Git workflows, documentation, technical specifications, runbooks, and AI-assisted development while maintaining code quality.

Design and maintain scalable pipelines for visual and voice data, including ingestion, processing, validation, testing, observability, and automation. Build cloud, on-premise, and containerized data infrastructure; optimize storage, retrieval, and caching for large media assets; debug complex data issues; and collaborate with data scientists, operators, and product teams to support machine learning workflows.

Build scalable fullstack systems for generative AI applications, with a strong backend focus. Responsibilities include designing APIs, microservices, data pipelines, databases, caching, security, monitoring, and low-latency inference infrastructure. Develop intuitive frontend interfaces, integrate ML training and serving pipelines, optimize high-throughput media processing, and collaborate cross-functionally with ML, product, research, and creative teams. The role also involves setting engineering standards, communicating with stakeholders, and mentoring peers.

Designs, plans, automates, and executes functional, integration, performance, load, and scale testing for cloud-based networking applications. Tests APIs, GUIs, microservices, wired and wireless networking protocols, security features, and customer deployments. Develops end-to-end automation, reviews test code, investigates defects, and collaborates with product, development, and cloud operations teams. Requires strong programming, cloud, containerization, performance testing, database, monitoring, and Linux expertise.

Own and architect scalable test infrastructure, establish quality strategies, optimize test suites and CI/CD performance, manage AWS-based test environments, develop reporting and testing tools, and mentor junior SDET engineers. The role requires advanced TypeScript, Playwright framework expertise, API/UI test orchestration, software design patterns, AWS, Docker, Git, reporting tools, and performance optimization experience.