Top AWS Jobs in Chennai

Provide first- and second-line support for business-critical applications and services in a 24/7 rotational environment. Investigate incidents, service requests, logs, APIs, integrations, databases, and network issues; use SQL and API tools to diagnose problems; collaborate with development, QA, infrastructure, and technical specialists; meet ITSM and SLA requirements; document incidents and knowledge articles; and contribute to problem management and continuous improvement.

Build and operate PayPal’s multi-cloud platform across AWS, GCP, and Azure. Responsibilities include designing hybrid connectivity, managing load balancers and CDN infrastructure, troubleshooting incidents, supporting network availability, deploying cloud and data-center infrastructure, automating operations, developing frontend and backend applications, and creating REST services. The role also involves mentoring engineers, leading technical initiatives, documenting designs, coordinating incident response, and providing on-call support.

Designs and maintains CI/CD pipelines, cloud infrastructure, infrastructure-as-code, container platforms, monitoring, and DevSecOps controls. Automates deployments and operational tasks, manages Kubernetes environments, improves reliability and security, troubleshoots incidents, and supports compliance in financial services. Collaborates with engineering, architecture, cybersecurity, infrastructure, and operations teams while mentoring junior engineers and establishing platform standards, runbooks, and continuous improvement practices.

Designs enterprise Databricks Lakehouse and cloud data architectures, including ingestion, transformation, governance, analytics, and streaming solutions. Leads client discovery, presales, proposals, RFP responses, effort estimation, resource planning, infrastructure costing, and solution handoff. Guides engineering teams through implementation, performance optimization, security, cloud migration, technical governance, and delivery challenges across Azure, AWS, or GCP.

Defines end-to-end architecture for custom applications, automations, dashboards, data pipelines, Power Platform solutions, and AI-enabled workflows. Governs architecture standards, build-versus-buy decisions, secure coding, secrets management, and regulated GxP SDLC controls. Collaborates with stakeholders, translates business needs into technical models, supports architecture governance, and mentors developers and engineers.

Own regional sales targets by presenting Netskope cloud security solutions, leading demos, POCs and evaluations, gathering technical requirements, resolving customer issues, and providing product feedback to drive adoption and revenue. Heavy regional travel and cross-functional escalation required.

Designs, develops, and maintains Palantir Foundry data pipelines, integrations, Ontologies, operational applications, dashboards, and AI-enabled workflows. The role includes transforming data with Python, SQL, PySpark, or Spark; implementing quality, governance, testing, and monitoring; troubleshooting production issues; and collaborating with technical and business stakeholders. Preferred experience includes Palantir AIP, LLM integrations, cloud platforms, Foundry development tools, and enterprise AI solutions.

Designs and governs enterprise AI, data, analytics, cloud, and platform architectures. The role develops AI reference architectures, data engineering standards, cloud infrastructure patterns, resilience controls, responsible AI frameworks, and technology roadmaps. It guides engineering teams, reviews strategic solutions, establishes governance, mentors technical staff, and partners with business, security, compliance, and senior leadership to enable scalable, secure, cost-effective AI and data platforms.

Build and maintain full-stack applications using modern front-end technologies and Python or Node.js back ends. Design micro-frontends, integrate REST APIs, work with relational databases and ETL/ELT pipelines, and apply secure coding, automated testing, Git, and CI/CD practices. Collaborate in Agile teams, troubleshoot technical issues, and support cloud, analytics, observability, and AI/ML application integrations.

This role involves managing and automating infrastructure, deploying applications, ensuring system availability on cloud platforms, and collaborating with cross-functional teams.

Designs, develops, deploys, and integrates AI, machine learning, deep learning, and generative AI solutions for industrial and business applications. Owns the machine learning lifecycle, solution architecture, data strategy, model monitoring, and production integration. Evaluates emerging technologies, manages technical delivery from partners and contractors, and collaborates with cross-functional teams to deliver scalable, reliable, and maintainable AI solutions.

Design and deliver production-ready AI, machine learning, and generative AI solutions for industrial and business challenges. Own the ML lifecycle, architecture, data strategy, deployment, monitoring, and integration across cloud and on-premises environments. Evaluate emerging technologies, guide internal and external partners, define technical requirements, and support adoption through documentation, training, and cross-functional collaboration.

Designs, develops, deploys, and integrates AI, machine learning, generative AI, and analytics solutions for industrial and business challenges. Owns the machine learning lifecycle, solution architecture, data strategy, production integration, monitoring, and technical evaluation of internal and external partners. Collaborates with cross-functional stakeholders, supports adoption, evaluates emerging AI technologies, and develops solutions such as predictive maintenance, anomaly detection, forecasting, document analysis, and knowledge tools.

Designs, develops, deploys, and integrates AI, machine learning, deep learning, and generative AI solutions for industrial and business challenges. Responsibilities include selecting modeling approaches, managing the ML lifecycle, defining solution architectures, analyzing operational data, supporting production deployment and monitoring, managing technical partners, and ensuring data governance, reliability, and maintainability. The role also evaluates emerging technologies, collaborates across functions, and supports user adoption and continuous innovation.

Designs, develops, deploys, and integrates AI, machine learning, generative AI, and optimization solutions for industrial and business applications. Owns the machine learning lifecycle, solution architecture, data strategy, model monitoring, and production readiness. Evaluates technologies, manages technical delivery from vendors and contractors, and collaborates with cross-functional teams to translate operational needs into scalable AI tools. Supports adoption, innovation, governance, and continuous improvement across energy and industrial environments.

Support AI innovation and software development by researching coding assistants, building LLM, RAG, and agent prototypes, developing automation tools, testing applications, and documenting solutions. Assist with debugging, CI/CD, secure coding, vulnerability scanning, and responsible AI guidelines. The intern will also demonstrate AI tools, measure productivity gains, and collaborate with developers and architects on customer-focused projects.

Supports AI-enabled IT operations, infrastructure, cloud environments, automation, monitoring, security hardening, vulnerability scanning, access control, and technical documentation. The intern researches AIOps and LLM solutions, builds prototypes, scripts repetitive tasks, assists with Azure and AWS environments, and helps establish safe AI-use practices. The role includes mentorship, customer-environment exposure, and opportunities to develop skills in AI-enabled infrastructure and cloud technologies.

Build and support Azure cloud infrastructure, CI/CD pipelines, and infrastructure-as-code deployments. Manage Azure services, containers, access controls, secrets, monitoring, troubleshooting, automation, documentation, and cloud costs. Collaborate with developers and QA to deliver secure, reliable, and cost-effective applications. The role requires Azure, Azure DevOps, Terraform or Bicep, Docker, basic Kubernetes, Linux, scripting, networking, and source-control experience.

Build and maintain Turso’s open-source database and cloud platform. Responsibilities include advancing PostgreSQL compatibility, ensuring software correctness through testing and verification, operating cloud APIs and data planes, and scaling systems to support substantially more databases. The role involves Rust development, embedded database technology, large-scale cloud operations, observability, reliability, performance improvements, and collaboration with customers, open-source communities, and distributed teams.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Leads complex enterprise, data center, cloud, and WAN network operations, providing L3/L4 support, critical incident escalation, troubleshooting, root cause analysis, and performance optimization. Designs and deploys network infrastructure, reviews architectures, supports security and load-balancing technologies, and leads transformation initiatives. Mentors engineers, drives automation and process improvements, manages ITIL practices, and communicates technical recommendations to clients and stakeholders in a 24/7 rotational environment.

Designs and delivers scalable, secure, distributed multi-tenant software systems across multiple services. Owns end-to-end technical delivery, translates complex business requirements into pragmatic solutions, drives coding and testing standards, and supports reliability, monitoring, and incident management. Collaborates with product and global stakeholders, identifies delivery risks, mentors engineers, and contributes to engineering excellence, operational performance, and architectural decisions.

Designs, develops, tests, and deploys software applications and reconciliations for Global Markets regulatory reporting. The role enhances existing technology solutions, manages regulatory reporting initiatives, collaborates with global technology teams, participates in design reviews, and supports integrated capital markets solutions. Candidates should work independently, contribute to a techno-functional team, and apply Agile, SDLC, TDD, and BDD practices.

Lead DevOps engineering for globally critical Payments and Transaction Banking applications. Manage CI/CD automation, release pipelines, OpenShift and Kubernetes platforms, Helm and GitOps deployments, infrastructure automation, security controls, secrets management, monitoring, and audit remediation. Mentor DevOps engineers, coordinate with application, infrastructure, and site reliability teams, and drive modernization and continuous delivery improvements across application portfolios.

Manage company-wide risk assessments, risk registers, remediation tracking, control testing, audits, evidence collection, and SOC 2 and ISO 27001 compliance operations. Partner with engineering, security, IT, and legal to validate controls, automate evidence gathering, investigate failures, support customer and vendor security reviews, and improve continuous compliance practices in a fully remote environment.