Top AWS Jobs in Chennai

The Platform Engineer manages cloud infrastructure, automates tasks, and improves system reliability while collaborating with cross-functional teams to meet platform needs.

As a Site Reliability/Operations Engineer, you will ensure reliability and performance of cloud platforms, deploy infrastructure, maintain automation tools, and collaborate with the team to resolve technical issues and enhance processes.

Develop and maintain enterprise-grade SaaS software using Java and Go. Optimize applications, perform unit tests, and conduct code reviews in an Agile environment.

Design, develop, and enhance AI-driven software solutions. Collaborate with AI researchers and product managers to build scalable systems and integrate machine learning models for speech analytics and conversational AI applications.

Seeking a Staff Data Engineer to architect enterprise-scale data solutions, mentor teams, and collaborate with leadership to align data architecture with business strategy.

The Senior Principal Data Engineer will architect and implement enterprise-scale data solutions, driving technical vision and leading teams in a financial technology environment.

Lead the development of customer-centric applications, shape technical strategy, and improve the developer experience to ensure operational excellence and collaboration.

As a Tech Lead, you'll oversee a team, directly engage in development processes, ensure quality deliverables, and mentor junior developers, focusing on technology innovation and continuous improvement.

The role involves designing, developing, and maintaining scalable backend services, participating in architecture definition, and ensuring adherence to software engineering standards in the financial sector.

The Java Backend Developer will design and develop secure, high-performance backend services, participate in architecture definition, and improve code quality. They will work closely with agile teams and engage in knowledge sharing.

Lead a platform engineering team focused on building and maintaining scalable cloud infrastructure using AWS and Azure, automate processes, and implement security practices.

The Senior Manager, DevOps Engineer oversees AI/ML platforms, defines DevOps best practices, manages CI/CD pipelines, and ensures infrastructure security and reliability.

The DevOps Engineer will manage AWS infrastructure, CI/CD pipelines, security compliance, and collaborate with development teams to optimize AI platforms.

The role involves leading the design and development of scalable and secure data engineering solutions, fostering collaboration among teams, driving DevSecOps adoption, and mentoring engineers while ensuring compliance and innovation in biological data analysis.

The Site Reliability/Operations Engineering Lead will ensure the reliability of cloud-native platforms, manage infrastructure, automate tasks, and lead a high-performing team while collaborating on CI/CD and ensuring security compliance.

Oversee secure cloud infrastructure, implement automation for CI/CD, ensure compliance with security standards, and respond to incidents.

The Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

As a Site Reliability Engineer at Boomi, you will design and maintain infrastructure, develop software solutions, and enhance product features while collaborating with various teams.

As a Senior Data Scientist, you'll transform data into insights, develop predictive models, and collaborate across teams to support business growth.

As an Engineering Manager for the Data Platform, you will lead strategy execution, mentor team members, provide technical leadership, and enhance data services for analytics and user experiences.

The Software Engineer will build high-performance backend services using Golang and gRPC, improve integrations, and collaborate across teams while ensuring efficiency in a fast-paced environment.

Lead AI/ML engineering teams to build AI solutions, overseeing strategy, architecture, and high-performance team management. Collaborate with other teams and ensure operational excellence in AI projects.

The Manager, Integration Engineer will implement data capabilities, optimize data pipelines, support teams, troubleshoot data issues, and document technical specifications.

Lead AI/ML engineering teams, defining strategies and overseeing systems, while mentoring engineers and managing cross-functional collaboration on ML projects.

Develop scalable applications using .NET or Python with AI integration, implement RAG pipelines, and build intelligent search and conversational systems.