Top AWS Jobs in Hyderabad

The Senior Full Stack Engineer will design, implement, and maintain features for a SAAS platform, optimizing performance, ensuring security, and mentoring junior developers.

The QA Engineer will design test strategies for AI applications, develop automated test frameworks, and conduct testing across multiple environments, ensuring quality and reliability for Fortune 500 clients.

The Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

The AI Tech Lead will design, develop, and implement AI solutions, focusing on LLM and RAG systems, while collaborating with engineers and product managers to innovate and optimize AI workflows.

The Sr. DevOps Engineer will automate and optimize software and data delivery, manage CI/CD pipelines, implement IaC, and enhance operational efficiency.

Looking for Automation Test Engineers skilled in Playwright and Java to develop test scripts, maintain frameworks, and work with CI/CD pipelines for high-quality releases.

The role involves designing, developing, and maintaining high-performance fullstack web applications, API development, and AWS cloud deployment.

Develop and maintain web applications using React.js and Next.js, optimize for performance, and collaborate with backend engineers on integrations and deployments.

As an Enterprise AI Analyst, you'll design AI solutions, collaborate with clients, and oversee model development while providing support for deployment and optimization.

The Program Manager will lead execution across DevSecOps and Change Management teams, aligning priorities and managing dependencies with engineering leadership to deliver value to stakeholders.

The Collaborative Engineer will design and lead developer sprints focused on GitHub Copilot and Amazon Q, mentor developers, and create instructional materials.

Seeking a Full Stack Developer to design and develop applications using Python and Angular, implement CI/CD practices on AWS, and lead technical teams for software delivery.

The Lead Data Scientist will analyze large datasets, develop ML/AI models, collaborate across teams, and ensure data quality and compliance.

The Senior Data Scientist will analyze large datasets, develop ML/AI models, collaborate with teams, and ensure data quality and compliance.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

The DevOps Engineer will optimize CI/CD pipelines, manage development environments, enforce best practices, and collaborate on infrastructure projects while ensuring code quality and system health.

The Tester is responsible for executing both manual and automated test cases, developing test plans, collaborating with developers, and reporting bugs. Requires coding skills and experience with automation tools.

The Data Engineer will manage data models and architecture, ensuring data security and compliance, while collaborating with teams to mitigate risks and improve security measures.

The Site Reliability Engineer will support multi-tier Java applications, develop CI/CD capabilities, manage incidents, and ensure high availability in a hybrid-cloud environment.

Lead the design and maintenance of a SaaS platform, guiding technical direction, optimizing performance, mentoring junior developers, and ensuring security and best practices in software development.

The Staff Software Engineer will innovate and develop AI-driven systems, mentor engineers, and collaborate on technical strategies for product innovation.

Seeking a Senior Data Engineer with 6+ years of experience to design and optimize data pipelines for intelligent systems, utilizing modern data platforms and cloud services.

Seeking a Senior MLOps Engineer experienced in Databricks to build and scale automated ML platforms, collaborating with data scientists and DevOps teams.

Responsible for building and maintaining scalable data pipelines on Databricks. Collaborates with data scientists and stakeholders to ensure high-quality data for analytics and ML.

The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.