Top AWS Jobs in Chennai

Provide technical pre-sales support for servers, storage, backup, and cloud solutions, while engaging with clients to gather requirements and offer effective solutions.

The Senior Site Reliability Engineer at BentoML will manage infrastructure for AI services, focusing on Kubernetes, Terraform, GPU clusters, and observability tools, while mentoring and driving SRE best practices.

The Forward Deployed Engineer will design observability solutions, implement integrations, create documentation, and collaborate with customers to optimize monitoring strategies.

The Engineering Manager will develop team skills, manage projects, write code, ensure agile practices, and support team members' growth.

As a Senior Software Engineer on the Geo Team, you will develop customer-facing applications, maintain APIs, and manage data ingestion pipelines while improving system capabilities and Agile practices.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

Lead the design and development of software solutions, provide mentorship, conduct code reviews, and collaborate across teams for robust software delivery.

As a Staff Software Engineer, you'll design and implement AI-powered systems using Python, collaborating across teams to ensure high performance and reliability in production environments.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

The QA Engineer will focus on manual and automated testing for web and mobile applications, developing test cases, improving software quality, and closely collaborating with engineering and product teams.

Build and maintain scalable backend applications and APIs; leverage AI tools for development efficiency; collaborate to deliver features quickly.

The Data Engineer will design and maintain scalable data pipelines, manage Delta Lake architecture, and develop AI/ML solutions in collaboration with data teams.

Lead design and implementation of DevSecOps solutions, manage cloud resources, and ensure efficient deployments using CI/CD methodologies across AWS and Azure.

Manage end-to-end delivery of data engineering projects, coordinating teams and stakeholders, while ensuring adherence to best practices and timelines.

The Managing Consultant will lead Endur implementations, ensuring successful project delivery while providing technical expertise and support in commodity and energy markets.

The DevOps Engineer will enhance software development and IT operations, focusing on automating processes, managing cloud infrastructure, and implementing CI/CD pipelines.

As a Site Reliability Engineer, you'll design, build, and maintain scalable systems, utilizing automation practices, managing cloud infrastructure, and optimizing system performance and security.

The Application Engineer supports customers in configuring and implementing Litmus products, ensuring successful deployments and providing Level 3 support. Key responsibilities include developing solutions, collaborating with sales teams, documenting best practices, and continuously engaging with customers to enhance product value.

Act as a technical expert in Managed Services, providing support for search technology issues, troubleshooting problems, and mentoring junior engineers. Collaborate with global teams for system performance and customer communication, while leading incident response and documentation of issues.

The Lead Backend Engineer will design scalable systems, own backend architecture and APIs, and mentor engineers while ensuring high performance and reliability in backend services.

The Software Architect will lead architectural frameworks for large-scale projects, oversee web development, and implement cloud architectures using various technologies.

As a Software Engineer, you will design and develop backend solutions using Java, implement RESTful services, and integrate security systems in cloud environments like AWS and Azure. You will also support Kubernetes deployments and participate in CI/CD automation.

Manage AWS networking environment focusing on multi-VPC architecture, automate network changes, support advanced components, and mentor engineers.

As a Machine Learning Engineer, you'll build platform capabilities for conversational AI, combining research and experimentation to create context-aware AI agents.

The AWS Platform Engineer will design, implement, and maintain AWS infrastructure, develop CI/CD workflows, administer databases, and oversee logging practices while mentoring junior team members and solving complex technical issues.