Top AWS Jobs in Hyderabad

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.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.

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.

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.

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.

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.

Seeking a senior AI/ML engineer with 6+ years experience to design and scale AI/ML platforms, innovate, mentor, and solve complex data challenges.

The role involves delivering AI solutions, developing models, supporting Agile practices, collaborating with teams, and focusing on execution and delivery.

Responsible for designing, developing and maintaining full-stack applications with a focus on Python backend. Collaborate with teams to build scalable software solutions.

The Generative AI Tester will validate AI-driven features, ensure model reliability, and drive end-to-end testing workflows in enterprise applications.

The Solutions Architect will design and deliver cloud technology solutions tailored to client needs in the insurance industry, ensuring high availability and scalability while collaborating with various teams throughout the project lifecycle.

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 Sr. QA Engineer to design and execute test plans for APIs and cloud applications, conduct testing, and ensure quality releases.

The Site Reliability Engineer ensures the reliability and performance of Prophecy's platform, managing Kubernetes, networking, identity, and observability across multi-cloud environments.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.