Top AWS Jobs in Chennai

The Staff Infrastructure Security Engineer will lead security initiatives, set architectural patterns, conduct security reviews, and mentor engineers while ensuring security in cloud infrastructures for GitLab.

Lead design and implementation of AI Ops platform and cloud-based software solutions (AWS/GCP). Develop and maintain code (Golang, Python, Java), IaC, LLM/agent integrations, APIs/GraphQL, and automation. Mentor developers, create technical documentation and architecture diagrams, collaborate with QA and stakeholders, troubleshoot automation/operations issues, and drive continuous improvement.

Develop, validate, and deploy machine learning and AI solutions using enterprise datasets. Perform EDA, feature engineering, predictive modeling, model evaluation, data pipeline construction, and visualization. Collaborate with engineers and business stakeholders to deliver production-ready analytics and dashboards, and research emerging AI techniques.

Design, automate, and maintain highly available AWS cloud infrastructure. Build and operate containerized workloads (ECS/Fargate), manage RDS/PostgreSQL, implement IaC (Terraform/CloudFormation), CI/CD pipelines, caching, observability, incident response, troubleshooting, and collaborate with engineering teams to improve reliability and scalability.

Design, build, and operate cloud infrastructure (primarily GCP, some AWS) using Terraform IaC. Manage Kubernetes (GKE/EKS), CI/CD pipelines, automation (Ansible, SaltStack), monitoring (Datadog, Splunk), scripting (Python/Bash), and enforce cloud security and compliance while supporting production and incident response.

Design and deliver scalable, secure, multi-tenant distributed systems; own end-to-end delivery, ensure reliability and testing, translate business needs into solutions, mentor engineers, and collaborate with product and stakeholders.

Senior hands-on technical leader responsible for domain architecture and technical direction across multiple teams. Ensures secure, reliable, cost-effective AWS solutions, drives platform and architectural improvements, mentors engineers, leads incident response and operational excellence, and shapes long-term domain roadmap and standards.

Lead functional, automated, and performance testing for a large-scale data platform. Develop test strategies, automation, and performance solutions; validate data quality and formats; test microservices, event-driven systems, and distributed processing; collaborate across Product, Engineering, and Ops to ensure reliability and continuous improvement.

Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.

Design and build scalable data pipelines and API integrations, write reusable Python code for ingestion and automation, use SQL to derive insights, support streaming and batch ETL across storage systems, maintain and improve engineering infrastructure, collaborate with analysts, data scientists and stakeholders, and perform end-to-end development, QA and DevOps tasks.

Design, build, and optimize cloud-native AI applications using Python and distributed systems. Develop backend services, APIs, CI/CD pipelines, and Generative AI solutions (LLMs/SLMs), implement data validation and business-rule engines, integrate vector search/RAG, fine-tune models, and monitor performance with observability tools while collaborating across teams.

Lead SRE role managing multi-cloud (AWS/Azure) production systems, Kubernetes clusters, and PostgreSQL. Build IaC with Terraform/Ansible, implement observability and incident management (Prometheus/Grafana/Datadog/ELK), define SLOs/SLIs, drive vulnerability remediation, run on-call rotations, and collaborate on capacity planning, DR, and post-mortems to improve reliability.

Lead product and technical architecture for cloud-native AI/GenAI solutions. Design LLM-based systems using vector databases and RAG, oversee model tuning, evaluation, and deployment, create product roadmaps and KPIs, and lead cross-functional teams while managing stakeholders and delivering solutions in R&D-heavy environments.

Design, build, automate, and operate global cloud and hybrid network platforms across 20+ AWS regions. Own AWS/Azure networking, hybrid connectivity, routing/BGP, SD‑WAN integration, Terraform IaC, automation, AIOps, incident response, and mentor engineers.

Design, build, and operate CI/CD pipelines and cloud deployments. Manage Git branching, containerization (Docker, Kubernetes/AKS), and infrastructure as code (Terraform/Bicep). Write automation scripts (Python, Bash, PowerShell), support Windows/Linux systems, and adopt GitOps practices (FluxCD). Collaborate on cloud-native deployments across Azure and AWS and improve platform reliability and automation.

Lead IT Operations Engineer responsible for operating, monitoring, and improving cloud-based, enterprise-critical platforms. Define SLIs/SLOs, integrate observability tools, drive IaC/automation, manage incidents, coordinate maintenance and vendor operations, and continuously improve scalability, reliability, and cost-efficiency.

Design, build, and automate secure AWS infrastructure and CI/CD pipelines. Ensure availability, performance, scalability, and compliance (PCI‑DSS, HIPAA, SOX, GDPR, CCPA). Manage releases/configuration, container and API security, serverless solutions, security automation/ML, monitor systems, and publish CICD best practices.

Lead QA and operations alignment for enterprise-scale systems: define quality standards, oversee test automation and incident/release management, drive DevSecOps and CI/CD practices, collaborate across Chennai and global teams, and implement governance and continuous improvement for reliability and deployment readiness.

Lead IT Operations Engineer responsible for operating, monitoring and improving cloud-based, business-critical platforms. Define SLIs/SLOs, integrate observability, manage maintenance and security, drive IaC/automation and CI/CD optimization, coordinate incident and problem management, and lead continuous scalability, reliability and cost-efficiency improvements.

Support development teams to instrument applications with OpenTelemetry, configure and integrate observability backends (Datadog, Dynatrace, Grafana) with external systems, define SLIs/SLOs, and collaborate on 24/7 OpenTelemetry infrastructure availability and reliability.

Design, implement, and maintain scalable CI/CD pipelines and infrastructure-as-code. Automate build, test, and deployment processes, develop Jenkins pipeline scripts (Groovy/Java), support developers, monitor and optimize pipeline performance, ensure DevSecOps/security best practices, and document configurations while evaluating new tools.

Lead FinOps reporting and data engineering for cloud and on-prem environments. Collect, clean, and integrate billing/usage data, build ETL pipelines and automation (Python/Terraform/SQL), create dashboards and unit-economics models, support forecasting, cost allocation, and optimization, and provide FinOps insights to leadership to improve cost governance and forecasting accuracy.

Lead operation, monitoring, maintenance, automation and incident/problem management for cloud-based, business-critical platforms. Design and implement observability (SLIs/SLOs), drive IaC/CI-CD improvements, coordinate updates with vendors, ensure security and reliability, and manage service requests and continuous platform optimization.

Design, develop, and maintain backend services and scalable RESTful APIs using Kotlin, Java, and Spring Boot. Collaborate with product, DevOps, and QA, ensure performance, security, and scalability, write tests, participate in architecture and CI/CD/DevOps practices, and troubleshoot/optimize systems.

Lead DB2 Database Engineer to manage and optimize DB2 LUW on Linux and AWS. Responsibilities include performance tuning, backup/restore, replication, monitoring, automation (scripting/IaC), security/compliance, DR drills, migrations, and collaboration with application and DevOps teams for stable, scalable database environments.