Top AWS Jobs in Chennai

Hybrid QA Engineer responsible for manual and automated testing of web, Android, and iOS casino games. Duties include designing and maintaining automated tests, API and performance testing, defect tracking, test strategy development, quality process improvement, code and design reviews, CI/CD integration, release quality gates, documentation, and mentoring QA team members. Requires strong Python automation experience, web and mobile testing expertise, database knowledge, Docker, Agile experience, and UK timezone overlap.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Drive adoption of Databricks Genie across a regional territory through technical strategy, executive engagement, workshops, presentations, demos, and customer-facing collateral. Partner with Account Executives, GTM, Product, Engineering, GSIs, and consulting firms. Architect governed analytics solutions spanning semantic models, warehouses, metric layers, Lakehouse, and AI ecosystems; address governance and security concerns; resolve complex technical escalations; and provide roadmap feedback.

Designs and implements end-to-end generative AI and LLM solutions, researches emerging AI techniques, develops supporting libraries and frameworks, and participates in software delivery from design through maintenance. The role applies NLP, computer vision, audio, and multimodal AI methods; uses cloud and open-source platforms; contributes to code reviews and roadmaps; and collaborates with cross-functional teams.

Design, build, and own end-to-end web application modules across backend, frontend, and infrastructure. Integrate LLM-powered features (RAG, embeddings, prompt engineering), ensure code quality with tests and CI/CD, optimize performance and databases, participate in architecture and client discussions, and mentor peers while driving reliable delivery and technical vision.

Lead technical execution across client engagements: author RFP responses, architect solutions, write and review code, debug production issues, integrate AI features, manage CI/CD and infrastructure, run sprints, hire and mentor engineers, and own client-facing technical communication through delivery and handover.

Leads end-to-end delivery of healthcare software solutions while designing and implementing full-stack web architectures. The role manages multiple product features, owns project deliverables, communicates risks, develops proofs of concept, and collaborates with stakeholders across geographies. It requires deep expertise in .NET, C#, React, Node.js, cloud platforms, databases, distributed systems, and healthcare interoperability standards. The manager also mentors technical teams, resolves conflicts, and builds a high-performing engineering organization.

Lead frontend architecture and development using React. Build reusable components, integrate REST/GraphQL APIs, optimize performance, ensure responsive/cross-browser UIs, mentor developers, conduct code reviews, and participate in Agile processes.

Design, build, and maintain AWS-native cloud data pipelines and ETL/ELT processes (S3, Glue, Redshift, AppFlow, Step Functions). Integrate enterprise apps (Salesforce, NetSuite), develop scalable data models, monitor pipeline performance, ensure data quality and governance, support CI/CD and IaC (Terraform), apply AI/ML for data quality/monitoring, and collaborate with stakeholders and peers.

The Operations Engineer ensures system stability and operational excellence across multiple platforms. Responsibilities include end-to-end incident, problem, and release management; advanced troubleshooting; root cause analysis; CI/CD pipeline maintenance; Python and PowerShell automation; cloud monitoring; infrastructure performance, scalability, and cost optimization; configuration management; documentation; and collaboration with development, product, business, and support teams during critical incidents.

Develop, test, deploy, integrate, and maintain backend systems using Python and Django. Follow SDLC practices, coding standards, documentation, and structured development approaches. Create unit and integration verification plans, improve system stability through user feedback, and prepare technical onboarding materials. Collaborate with engineering teams to deliver maintainable web applications and business-focused features.

Develop and maintain full-stack applications using Java, Spring Boot, REST, database technologies, and modern front-end frameworks. Work on greenfield engineering initiatives, AWS cloud solutions, asynchronous processing, WebSockets, authentication, CI/CD pipelines, testing, and UI interoperability. Apply engineering best practices including code reviews and branching strategies, while collaborating through Jira, Confluence, Git, Maven, and Jenkins. Blockchain experience and AWS certification are advantageous.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.

Build, test, deploy, and maintain production automations using n8n, custom code, AI models, APIs, and PostgreSQL pipelines. Identify high-value automation opportunities, integrate unfamiliar systems, validate data integrity, manage CI/CD, monitor reliability and cost, respond to incidents, and resolve recurring failures. Collaborate with stakeholders and audit teams on security, compliance, and process quality while researching emerging automation and AI technologies.

Build scalable Java full-stack applications, including Spring Boot microservices, REST APIs, event-driven integrations, and responsive React interfaces. Develop secure, tested, high-performance software while collaborating in Agile teams, participating in code reviews, and working with Product Owners and QA. Integrate AI/ML services and features into applications to support automation and decision-making. Preferred experience includes cloud deployment, CI/CD, Docker, Kubernetes, and modern AI platforms or LLM integrations.

Designs, implements, monitors, and maintains secure on-premises and cloud network infrastructure. Manages firewalls, intrusion detection and prevention systems, VPN gateways, web application firewalls, AWS and Azure security controls, routing protocols, and hybrid cloud connectivity. Analyzes network traffic and security events, responds to incidents, performs vulnerability assessments, coordinates remediation, maintains documentation and policies, and supports compliance with security standards and best practices.

Supports channel resellers and partners in India by developing technical strategies and solutions for cloud security. Acts as a technical advisor across AWS, Azure, GCP, and other cloud providers; delivers demos, partner training, conference presentations, technical business models, and executive-level sales engineering engagements. The role requires collaboration with account representatives and internal teams, with travel of up to 40% on occasion.

Perform hands-on vulnerability triage and risk assessment across OS, containers, and dependencies; validate and reproduce customer and pentest findings; maintain and troubleshoot SAST/DAST and scanning pipelines; build PoC exploits to validate real-world risk; partner with Engineering to prioritize and ship fixes; improve vulnerability management processes and SLAs.

Build and operate scalable MLOps infrastructure for machine learning development, training, inference, and monitoring. Responsibilities include Kubernetes orchestration, AWS resource management, GPU optimization, prediction and inference platforms, ML workflows, CI/CD pipelines, observability, security compliance, and LLM serving clusters. The role collaborates with ML engineers and supports reliable, high-performance AI services and production operations.

Build and operate the infrastructure, frameworks, SDKs, runtime systems, and tooling for an AI agent platform supporting ERP product teams. Develop frontend and backend systems, APIs, microservices, distributed services, cloud infrastructure, and production LLM integrations. Translate product requirements into technical solutions, ensure reliability and developer experience, contribute to architecture decisions, and mentor engineers.

Leads end-to-end development and operations for large-scale products using Go, cloud-native infrastructure, microservices, and AI-enabled delivery. Builds AI agents, makes architecture and technology decisions, drives rapid prototyping, manages releases, improves system performance and scalability, and establishes automated testing and quality processes. Leads and mentors engineers while coordinating cross-functional stakeholders and measuring business impact through delivery speed, reliability, customer value, and operational efficiency.

The Principal Architect - Digital at Presidio designs and delivers large-scale digital transformation solutions, influencing technology strategy and mentoring teams, while integrating AI and cloud technologies.

Develop and maintain automated test suites and scripts (Python, bash, PowerShell) across containers and VMs; integrate tests into CI/CD (GitHub Actions); use test frameworks (Google Test, NUnit, Behave), static analysis (SonarQube, CodeQL), debug pipelines, and document test cases in TestRails while collaborating with developers.