Top AWS Jobs in Chennai

Develop and maintain backend services for Insurance Services, extract property attributes using regular expressions and large language models, and collaborate with engineers, product managers, and data scientists. Responsibilities include writing tested code, participating in reviews, working with microservices and cloud infrastructure, completing defined tasks, and communicating progress. The role requires SQL, JVM or Scala experience, exposure to data science, containerization, event-driven systems, cloud platforms, and CI/CD.

Develop and maintain backend services for Porch’s insurance platform. Collaborate with engineers, product managers, and data scientists to extract property attributes using regular expressions, large language models, and related techniques. Write clean, tested code, participate in reviews, work with microservices and cloud infrastructure, and complete defined engineering tasks. The role requires knowledge of SQL, JVM languages, preferably Scala, data science concepts, and property or home-inspection domains.

Design and implement end-to-end generative AI and LLM solutions, including NLP, computer vision, audio, and video applications. Research emerging AI techniques, develop supporting libraries and frameworks, and apply prompt engineering, fine-tuning, vector databases, and cloud AI services. Participate in software development, testing, deployment, maintenance, and code reviews while collaborating with cross-functional teams.

Develops end-to-end generative AI and NLP solutions using LLMs, including chatbots, search, summarization, Document AI, and content generation. Conducts research, builds supporting libraries and frameworks, and applies prompt engineering, fine-tuning, vector databases, and cloud AI services. May also work with computer vision, audio, and video models. Collaborates cross-functionally throughout the software development lifecycle, contributing to design, testing, deployment, maintenance, code reviews, and technical roadmaps.

Lead development of a cloud-based network management platform, including scalable web and mobile applications, real-time dashboards, network visualizations, device integrations, monitoring, configuration management, alerting, REST APIs, and multi-tenant SaaS architecture. The role requires full-stack development expertise, enterprise networking knowledge, cloud platforms, network protocols, databases, security, DevOps, and infrastructure automation experience.

Develop and maintain an iOS application using Swift and SwiftUI. Responsibilities include building new features, fixing bugs, improving performance, simplifying code, and writing scalable reusable software. Collaborate with engineers and product owners in cross-functional Agile teams, integrate APIs and push notifications, and use Git workflows. Familiarity with MongoDB, Atlas Device Sync, Realm, AWS, testing, web technologies, and project management tools is required or preferred.

Develop and maintain scalable MERN web applications, design RESTful APIs, integrate frontend and backend systems, and deploy and monitor applications on AWS. Manage MongoDB data, containerized applications with Docker and Kubernetes, CI/CD collaboration, application security, code optimization, and architecture planning. The role also involves troubleshooting, code reviews, and implementing cloud, serverless, infrastructure-as-code, and monitoring solutions.

Partner with Account Executives to win enterprise deals in India by leading technical discovery, solution design, product demonstrations, workshops, proof-of-value engagements, and technical evaluations. Build relationships with engineering leaders, architects, and DevOps teams; translate complex technology into business outcomes; support customer champions; and provide field feedback to Product and Engineering. The role requires expertise in enterprise SaaS, DevOps, CI/CD, feature management, progressive delivery, and modern software architectures.

Build and manage production AI agents, high-precision RAG pipelines, and LLM-powered features. Develop backend architecture using Postgres, REST APIs, asynchronous programming, queues, storage, RBAC, and encryption. Integrate foundation models, establish evaluation patterns, write automated tests, monitor system health, and collaborate with product managers on reliable, secure AI applications.

Lead QA strategy and roadmap for AI and SaaS platforms. Design and implement scalable automation frameworks, validate AI/ML workflows, perform performance/security/regression testing, ensure end-to-end coverage across microservices, APIs, mobile and web in multi-tenant cloud, and document QA processes while partnering with engineering and data science teams.

Build and enhance test automation frameworks using Selenium, Cucumber BDD, Java, and Gherkin. Develop automated test suites and perform functional, regression, integration, API, and microservices testing. Collaborate with developers and product teams to define acceptance criteria, troubleshoot automation failures, resolve defects, improve test coverage and resilience, and deliver stable, high-quality releases.

Provides first-line production support for enterprise applications by monitoring Splunk and New Relic dashboards, investigating alerts, triaging incidents, managing tickets, documenting evidence, escalating issues, and supporting maintenance and deployment windows. The role requires monitoring knowledge, incident management skills, clear communication, and the ability to handle multiple production incidents. Familiarity with AWS data platforms and Python, SQL, Scala, or Shell is preferred.

Develop and deploy generative AI, LLM, conversational AI, and autonomous agent applications. Build scalable AI pipelines, fine-tune foundation and deep learning models, integrate agentic workflows, and optimize model performance for production. Collaborate with data engineers on datasets and stay current with advances in GenAI, LLMs, RAG, multimodal learning, and MLOps.

Design and develop scalable Java backend systems using Spring Boot and microservices. Own feature delivery from design through production support, contribute to architecture and technical decisions, improve performance and reliability, and drive testing, CI/CD, automation, and DevSecOps practices. Collaborate with product, QA, DevOps, and stakeholders while mentoring junior developers and contributing to documentation and engineering standards.

Own enterprise sales growth across India, focusing on Mumbai-based accounts. Develop strategic account plans, execute consultative MEDDPICC sales cycles, win new enterprise customers, expand existing accounts, and close complex multi-year deals. Partner with AWS, Azure, GCP, global systems integrators, pre-sales, marketing, and customer success teams. Maintain accurate forecasting and Salesforce pipeline hygiene while engaging C-suite, data, AI, and business stakeholders.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Lead backend engineering for NIRA’s consumer credit platform, scaling infrastructure, expanding support for financial products, and improving credit decision systems. Collaborate with engineering teams across APAC and with product, finance, compliance, support, and analytics stakeholders. Own technical solutions end to end in an AWS-native environment while contributing to platform and product strategy.

Design, develop, and deploy scalable data-processing solutions on AWS using Java and Apache Spark. Build Spark pipelines on EMR, serverless applications with AWS Lambda, containerized microservices on Amazon EKS, and complex workflow orchestration with Apache Airflow.

Design user experiences and interfaces for web and mobile products using human-centered design principles. Conduct user research, create prototypes, iterate designs, communicate recommendations to clients, and contribute to design systems. Collaborate with product managers, designers, and Agile teams to gather requirements and deliver development-ready designs. Apply expertise in typography, color, spacing, interaction design, and design tools while incorporating stakeholder feedback.

Build and own full-stack products end to end, from requirements gathering with operational teams through design, development, deployment, instrumentation, and iteration. Develop GenAI capabilities using LLMs, agents, RAG, and workflow automation. Manage reliability through testing, code review, production support, and technical debt reduction. Collaborate clearly with nontechnical stakeholders, and at senior levels lead ambiguous projects and mentor engineers.

Develop audience segments, customer profiles, and predictive models using behavioral, transactional, viewing, and digital data. Apply statistical and machine learning methods for clustering, churn, propensity, content affinity, and customer value analysis. Conduct exploratory analysis, evaluate models, support campaign measurement, and translate findings into business recommendations. Collaborate with Marketing, Product, Media Sales, and Content teams while presenting insights to technical and non-technical stakeholders.

Build and maintain complete web applications and backend services from architecture through production. Develop responsive interfaces, APIs, background workers, data pipelines, and AI integrations. Manage cloud deployment, monitoring, CI/CD, load testing, and system optimization. The role requires end-to-end ownership, strong full-stack development skills, relational database expertise, event-driven architecture knowledge, and the ability to work independently while communicating technical tradeoffs.

Develop and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

Monitor and support a multi-cloud infrastructure across Azure and AWS, including Windows, Linux, and SQL Server systems. Responsibilities include incident response, alert triage, patching, compliance tracking, network troubleshooting, reliability reporting, runbook improvement, and automation. The role participates in a follow-the-sun on-call rotation and supports VPNs, DNS, subnets, routing, monitoring tools, and infrastructure maintenance.

Leads cloud platform architecture, reliability, modernization, automation, cost optimization, and operational excellence across Azure-based SaaS infrastructure with some AWS. Manages and develops cloud and database engineers, establishes observability and incident-response practices, improves CI/CD, supports highly available systems, and partners with engineering, product, and security teams. The role remains hands-on with Infrastructure-as-Code while overseeing hiring, performance management, capacity planning, and technical strategy.