Top AWS Jobs in Chennai

Manage SaaS Kubernetes applications in AWS, respond to alerts and incidents, deploy infrastructure technologies, triage client service tickets, troubleshoot operating systems, applications, virtualization, and containers, and improve operational automation and SLAs. The role requires cloud operations experience, AWS, Terraform, Kubernetes, Linux, automation, Java application support, performance tuning, container management, and full-stack troubleshooting.

Leads the design and improvement of DevOps platforms, CI/CD pipelines, infrastructure automation, cloud environments, container orchestration, observability, security controls, and SRE practices. Partners with engineering teams to improve delivery speed, reliability, deployment quality, and developer self-service. Provides technical leadership, mentoring, governance, incident response, resilience engineering, and cloud cost optimization across production and non-production workloads.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality, data discoverability, testing, feature releases, quality standards, and customer-focused insights. Uses scientific expertise, Python and Bash scripting, databases, cloud platforms, and AI-enabled testing workflows to improve data integrity and platform performance. Coordinates stakeholders, documents work, presents findings, and drives cross-functional projects.

Owns and administers Snowflake data platforms, including account governance, performance and cost optimization, security, access management, and reliability. Maintains Fivetran ingestion connectors and dbt pipelines, integrates monitoring and alerting, troubleshoots data issues, and supports cloud DevOps across AWS, Azure, and OCI. Partners with engineering, security, and compliance teams on access reviews, audit evidence, incident response, and platform improvements.

Develop and maintain scalable backend and full-stack systems using Node.js, MySQL, Redis, REST, and GraphQL. Responsibilities include system architecture, microservices, API development, testing, CI/CD, deployment, performance optimization, production troubleshooting, documentation, and code reviews. The role collaborates remotely with product and design teams and requires familiarity with cloud platforms, Docker, native mobile development, and database technologies.

Develop and maintain production-ready Flutter mobile applications for iOS and Android. Responsibilities include responsive UI development, algorithm and performance optimization, testing, debugging, app deployment, production monitoring, and collaboration with designers, product managers, and backend developers. The role requires Flutter and Dart expertise, API and state-management experience, Firebase, CI/CD, Git, cloud, database, native development, and Docker familiarity.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality evaluation, data discoverability, testing, feature releases, customer-focused insights, and quality standards. Uses scientific expertise, data analysis, scripting, databases, cloud platforms, and AI-enabled testing workflows to improve platform reliability and relevance. Coordinates stakeholders, advances projects, documents work, and presents recommendations for product and data improvements.

Leads multiple software engineering teams in India, overseeing managers and technical leaders while driving delivery of complex cloud-native products and platforms. Establishes engineering practices for quality, reliability, security, testing, observability, and operational excellence. Partners with Product, Engineering, Security, Operations, and global stakeholders on architecture, modernization, automation, and AI-assisted development. Responsible for recruiting, mentoring, retaining talent, and improving organizational effectiveness, engineering productivity, and delivery predictability.

Design and implement enterprise data architectures spanning data lakes, warehouses, data fabric, and MDM. Build scalable pipelines and integration frameworks, establish governance and data quality standards, enable AI/ML initiatives, develop data strategies, and optimize platforms for performance, scalability, and reliability. Collaborate with business and technology stakeholders across the organization.

Supports enterprise sales cycles across APJ through technical discovery, solution design, demonstrations, proofs of concept, architecture reviews, tenders, and technical validation. Enables partners through training, workshops, reusable technical content, and joint customer engagements. Designs solutions involving integrations, APIs, automation, and deployment architectures while collaborating with sales, product, engineering, services, and support teams. Requires strong IT, cybersecurity, cloud, networking, scripting, communication, and partner-management expertise.

Deploys, configures, monitors, troubleshoots, and maintains enterprise network infrastructure across global data centers and remote sites. Administers Cisco, Juniper, Palo Alto, Check Point, F5, and wireless technologies; performs upgrades and network changes; documents configurations; supports security compliance, audits, vendors, and infrastructure projects. Serves as a technical escalation point and participates in on-call and global incident response coverage.

Deploys, configures, monitors, troubleshoots, and maintains enterprise network infrastructure across global data centers and remote sites. Supports Cisco, Juniper, firewall, wireless, and F5 technologies; performs upgrades and network changes; documents configurations; participates in infrastructure projects, audits, incident response, and vendor management. Acts as a technical escalation point and participates in a 24x7 on-call rotation.

Designs, deploys, administers, and optimizes secure AWS infrastructure across cloud and on-premises environments. Manages Linux and Windows servers, networking, identity services, VMware, infrastructure as code, containers, CI/CD pipelines, monitoring, security hardening, compliance, backups, and disaster recovery. Automates operational processes with Terraform, CloudFormation, Ansible, PowerShell, Bash, and Python; participates in incident response, documentation, migrations, and infrastructure planning.

Supports Db2 LUW databases for multiple clients, including environment design, installations, upgrades, patching, migrations, troubleshooting, security, backup and recovery, performance tuning, and high-availability management. The role collaborates with clients and global DBA teams, supports projects and 24x7 incidents, develops automation and documentation, resolves complex issues, and mentors junior administrators. Rotating shifts and on-call participation are required.

Provide 24/7 support for R&D software infrastructure, including service, incident, and change tickets. Support Jenkins CI/CD pipelines, Valeo frameworks, CoreALM, ALM NG, SIE, software release management, static analysis, vulnerability scanning, and related development tools. Administer Windows and Linux environments, meet service-level agreements and KPIs, and assist software projects with troubleshooting and user requests.

Develop, deploy, and support software and data-quality solutions using Oracle, Snowflake, SQL, and PL/SQL. Optimize data-processing workflows, manage cloud data warehouse architecture, schedule jobs, and apply DevOps and CI/CD practices. Collaborate with product management, application development, DevOps, and other technical teams while participating in design discussions and owning tasks through completion. The role also involves data warehouse modeling, Agile development, AI-assisted tools, and geographically distributed teamwork.

Leads customer-facing AI transformation initiatives from business discovery through solution architecture and implementation. Designs scalable AI workflows, agents, integrations, and enterprise solutions using DevRev’s platform. Partners with customers, sales, customer success, engineering, and product teams to translate requirements into measurable outcomes. Supports pre-sales, oversees delivery with Applied AI engineers, drives reusable architecture, and ensures performance, security, and compliance. Requires extensive travel for implementations, workshops, and customer engagements.

Design, modernize, and operate enterprise cloud platforms across AWS and Azure. Lead cloud architecture, platform engineering, infrastructure automation (IaC), observability, security, networking, database and reliability engineering for large-scale modernization initiatives.

Administer, monitor, optimize, and troubleshoot enterprise Apache NiFi environments, including clustered and high-availability deployments. Configure processors, controller services, security, SSL/TLS, and integrations with Kafka and REST APIs. Perform Linux administration, log analysis, Java/JVM tuning, and scripting with Python and shell. Manage GitLab workflows and CI/CD pipelines while collaborating through Jira and Agile frameworks.

Develop AI applications using Python, generative AI, LLMs, RAG, vector databases, APIs, and agentic AI frameworks. Build and integrate solutions with models including GPT, Claude, Gemini, and Llama. Use LangChain, LangGraph, Docker, cloud platforms, and modern deployment tools. The role requires strong problem-solving, API development, prompt engineering, and immediate or short-notice availability for office-based work.

Develop modern generative AI applications using LLMs, retrieval-augmented generation, vector databases, prompt engineering, and agentic AI. Build APIs and production systems with Python, FastAPI, LangChain, LangGraph, Docker, and cloud platforms. Responsibilities may include integrating major LLM providers, implementing function calling, embeddings, evaluation frameworks, guardrails, monitoring, and fine-tuning. The role is full-time, office-based, and requires immediate or short-notice availability.

Designs and delivers enterprise-scale data platforms using Snowflake, Snowflake Cortex, Tableau, and AWS. Responsibilities include Snowflake architecture and solution design, ETL/ELT and data ingestion, data warehouse and modeling, Tableau development and administration, performance optimization, and stakeholder communication.

Lead data engineering for enterprise banking platforms, developing ETL/ELT pipelines, Oracle and SQL/PLSQL solutions, data warehouse integrations, and risk and regulatory reporting systems. Provide production support, troubleshoot batch and data issues, automate validation and scheduling, ensure data quality and governance, and support regulatory submissions. Partner with Risk, Finance, Compliance, Business, and Technology stakeholders while mentoring team members and contributing to architecture and solution design.

Leads software engineers while owning application architecture, technical design, coding standards, reviews, planning, and mentoring. Develops scalable Python applications, RESTful APIs, and backend services using frameworks such as FastAPI, Django, or Flask. Designs database schemas and data-access layers, optimizes performance, troubleshoots production issues, and performs debugging and root-cause analysis. Works with relational and NoSQL databases, cloud platforms, DevOps tooling, messaging systems, testing frameworks, observability tools, and Agile/Scrum practices.

Develop production-grade AI-enabled platform capabilities, APIs, backend services, integrations, and reusable software enhancements. Build model integrations, prompt and retrieval workflows, extraction logic, and agent configurations while ensuring scalability, security, reliability, testing, observability, and maintainability. Collaborate with Product, Solution Engineering, Application Engineering, Platform Reliability, and Architecture teams to translate requirements into customer-facing platform solutions. Contribute to CI/CD, automated testing, deployment, documentation, and responsible AI practices.