Top AWS Jobs in Chennai

Lead technical consultant responsible for designing, developing, testing, deploying, documenting, and supporting enterprise applications. The role focuses on generative AI and LLM integrations using OpenAI, Anthropic, Gemini, agent frameworks, Java, Spring Boot, Python, microservices, databases, containers, Kubernetes, and cloud platforms. The consultant collaborates with architects and developers to translate designs into technical solutions and provides expertise in security, resiliency, and enterprise architecture.

Designs, builds, and maintains scalable data pipelines and ETL/ELT processes using Snowflake and Databricks. Collaborates with architects, analysts, and clients to deliver cloud data solutions; optimizes performance and cost; implements data quality monitoring; supports migrations and integrations; maintains documentation; provides technical guidance; and ensures data governance, security, and privacy compliance.

Design, build, and optimize scalable batch and streaming data pipelines on GCP and AWS. Develop ETL/ELT frameworks using SQL, Python, and Apache Beam; optimize BigQuery performance and costs; implement data quality, validation, monitoring, governance, lineage, and metadata tracking; and automate deployments through CI/CD. Collaborate with analytics, product, engineering, and business teams to deliver reliable data solutions for reporting and advanced analytics.

Leads end-to-end technical integrations with banks, payment networks, fintech partners, and enterprise clients. Designs API, SDK, file-based, and middleware solutions; translates business requirements into technical specifications; manages partner discovery, testing, certification, and go-live. Coordinates Product, Engineering, Compliance, Legal, and regional teams while tracking project budgets, timelines, risks, and dependencies. Ensures security, regulatory compliance, scalability, monitoring, and continuous improvement across global payment integrations.

Designs, develops, and operates scalable backend systems and APIs for core financial transactions. Responsibilities include architecture, microservices, integrations, automation of testing and deployments, cloud development, database optimization, security implementation, and collaboration with product, engineering, and QA teams in an agile environment.

Build, deploy, and maintain enterprise-grade backend software while partnering with the CTO and founding team. Own technical decisions, production reliability, scalability, security, and lifecycle improvements. Troubleshoot complex issues, develop prototypes and technical content, adopt emerging technologies, and collaborate with engineering, design, sales, and other stakeholders. The role requires strong backend, cloud, infrastructure-as-code, distributed systems, API, database, and generative AI experience, with independent execution in an in-person startup environment.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Designs and implements complex web applications, improves engineering and quality standards, builds CI/CD pipelines, supports technical hiring, and coaches junior and mid-level engineers. Requires strong Node.js development, TypeScript, React, API architecture, database querying, testing, Docker, AWS infrastructure configuration, and Kafka knowledge.

Execute penetration tests across web, mobile, network, cloud, and system environments; identify and validate vulnerabilities; produce detailed technical reports and remediation guidance; support client remediation and incident response; develop custom offensive tools and automation; conduct social engineering simulations; and maintain client communications while tracking evolving threats.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Provide advanced technical support for enterprise database customers by diagnosing complex issues involving database internals, SQL performance, Linux systems, networking, and distributed applications. Reproduce bugs, perform QA, submit engineering reports, collaborate with development and infrastructure teams, improve support processes, and create documentation. The role includes scheduled IST hours and participation in an on-call rotation.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Build and maintain high-performance React and TypeScript applications for a cloud-native digital banking platform. Responsibilities include frontend architecture, state management, API integration, design systems, accessibility, security, testing, performance optimization, CI/CD integration, and GenAI-enabled development. The role partners with product, UX, backend, QA, and SRE teams, contributes to Scrum execution, and mentors engineers while owning work across the software development lifecycle.

Lead Oracle EPM Cloud consulting projects from requirements gathering through design, implementation, testing, training, and post-implementation support. Configure and customize ARCS, FCCS, and RMC solutions, translate client needs into specifications, conduct stakeholder workshops, and develop test plans and training materials.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Develop and maintain automation, infrastructure, and monitoring solutions for large-scale distributed compute systems. Troubleshoot complex systemic issues, deploy software safely at scale, participate in on-call rotations, restore service-impacting incidents, and improve observability and reliability. The role requires expert Linux systems administration, configuration management, performance optimization, infrastructure automation, and proficiency with Python or Golang, cloud platforms, and monitoring technologies.

Lead development of foundational platform services, including identity, authorization, search, and API infrastructure. Design scalable architectures, optimize database performance, build internal developer tools, improve observability and frontend reliability, and collaborate with product teams. The role includes writing tested code, conducting reviews, documenting platform capabilities, supporting internal users, and evaluating or integrating AI-assisted development and LLM-powered systems.

Designs and reviews security architecture, performs threat modeling and cloud assessments, responds to incidents, manages security tools, and advises engineering teams on secure development. Conducts code and vulnerability reviews using OWASP and MITRE ATLAS, evaluates AI and LLM security risks, and supports security monitoring, risk assessment, data protection, and compliance across applications, infrastructure, and endpoints.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Design, build, and deploy production generative AI features, including LLM applications, RAG pipelines, and agentic systems. Develop scalable Python and cloud backend services, evaluate model accuracy and performance, optimize reliability and cost, and implement monitoring, security, and observability. Collaborate with product, design, and engineering teams while mentoring teammates and exploring emerging AI technologies.

Build and scale reinforcement learning environment platforms for frontier AI model training and evaluation. Responsibilities include developing backend services, data generation pipelines, modular simulation environments, and reliable infrastructure. The role involves architecture decisions, observability, performance improvements, and collaboration with engineering, research, product, and operations teams across India and the US.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Secure and improve Microsoft Azure environments through cloud security guardrails, landing zone governance, identity and access controls, networking, monitoring, encryption, secrets management, and compliance controls. Conduct posture reviews, remediate misconfigurations, support cloud incident investigations, secure infrastructure-as-code deployments, perform architecture reviews, and coordinate with engineering, Security Operations, GRC, and auditors.