Top AWS Jobs in Chennai

The Technical Marketing Engineer will create technical content, demonstrate products, engage with developers, collaborate cross-functionally, and support marketing initiatives.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The role involves planning, writing, and executing end-to-end automatic tests for complex features using Java and Selenium, primarily in an agile environment for AlgoSec's new SaaS product.

Build end-to-end infrastructure for AI agents: design React/TypeScript UIs, implement Python agent harnesses, develop Kubeflow-based MLOps pipelines, fine-tune foundation LLMs (LoRA/QLoRA/SFT/RLHF), deploy and operate services on Kubernetes, integrate agent frameworks, and apply software engineering best practices, testing, and CI/CD.

Design and implement production-grade AI agent harnesses, build and operate MLOps pipelines with Kubeflow, fine-tune foundation LLMs (LoRA/QLoRA, SFT, RLHF), deploy and manage services on Kubernetes, integrate agent frameworks, and apply software engineering best practices to move models from prototype to production.

Design, develop, and deploy cloud-native, containerized microservices using C#/.NET and SQL, automate CI/CD pipelines, troubleshoot app-to-orchestration issues, and collaborate in Agile/Scrum delivery.

Design, develop, and deploy integration applications and microservices using MuleSoft. Build APIs, middleware integrations, and CI/CD pipelines; write clean code, unit tests, and database/security best practices; collaborate with Salesforce teams, QA, and BAs to deliver scalable integrations.

Lead and grow a team building scalable, real-time data systems. Architect and implement Java-based backend services and Apache Flink streaming pipelines, collaborate with cross-functional teams, enforce engineering best practices (CI/CD, testing, observability), manage project delivery and performance, and resolve distributed system performance issues.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Develop and deploy production-grade Generative AI services using LLMs, RAG, embeddings and vector retrieval. Build APIs and microservices with FastAPI, integrate models and enterprise workflows, optimize model accuracy and latency, implement monitoring/logging/evaluation frameworks, and support cloud/Docker deployments.

Design, build, and maintain scalable test automation frameworks and suites for web, API, microservices, and backend systems. Integrate tests into CI/CD, perform functional, integration, regression, performance and E2E testing, analyze results, report defects, and drive quality engineering best practices across teams.

As a Backend Engineer, you will develop and maintain core backend infrastructure, build integrations, and work closely with frontend engineers to enhance user experience.

As a Senior Backend Engineer, you will develop and maintain backend systems, collaborate with frontend teams, and leverage AI for finance solutions.

Provide customer-facing DevOps and platform engineering support: debug OpenTelemetry instrumentation, optimize ClickHouse, troubleshoot Kubernetes, design observability solutions, build tooling and automation, engage the open-source community, and establish scalable customer engineering processes.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

The Infrastructure Engineer will enhance IAC, CI/CD pipelines, and scalable cloud infrastructure while collaborating with multiple teams on incident response and observability solutions.

The Support & Implementation Engineer will implement solutions, troubleshoot customer issues, ensure technical documentation accuracy, and collaborate with engineering teams.

Own and build production AI/LLM applications end-to-end: architect RAG and agentic systems, implement function/tool calling, optimise inference costs, run evaluation frameworks, deploy on Kubernetes, and integrate with third-party platforms while collaborating with product teams to improve quality, latency, and cost.

The Cloud Engineer will enhance AWS cloud infrastructure, focusing on multi-account governance, IAM security, and Infrastructure as Code automation while ensuring operational excellence and compliance with security standards.

The Applied AI Researcher will design experiments, train models, and build pipelines for a GenAI platform while contributing to research and deploying systems in production.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.