Senior Silicon Validation Engineer

24 hours ago

Hyderabad, Telangana, India IIT Hyderabad Full time ₹ 12,00,000 - ₹ 36,00,000 per year

DevOps Strategy & Execution :

  • Architect and implement a scalable DevOps infrastructure that supports rapid development, deployment, and continuous integration/continuous deployment (CI/CD) pipelines.

  • Develop and integrate automation scripts, configuration management, and monitoring solutions to optimize the release process and ensure system stability.

  • Collaborate with engineering, operations, and security teams to implement best practices for infrastructure as code (IaC), containerization, and cloud-based deployments

Technical Leadership & Architecture :

  • Provide technical direction for the design and maintenance of systems that support automated validation, testing, and continuous integration/deployment.

  • Contribute to the overall product roadmap by identifying opportunities to improve operational efficiency and system resilience.

  • Lead cross-disciplinary projects, ensuring that validation and operational aspects are integral to the overall system architecture.

Key Responsibilities :

  • 10+ years of experience in software engineering, with significant exposure to validation, DevOps, and infrastructure automation.

  • Design and implement automation frameworks, test benches, and validation infrastructure using Python, C++, and industry-standard tools.

  • Build and maintain CI/CD pipelines and regression systems to support scalable and repeatable validation workflows.

  • Technical lead for validation tools and infrastructure, enabling cross-site alignment and tool reuse.

  • Proven experience in designing and scaling validation frameworks and automation platforms.

  • Proficient in Python, shell scripting

  • Design, implement, and manage comprehensive validation strategies and testing methodologies to ensure the reliability, accuracy, and performance of our products.

  • Demonstrable experience in architecting and implementing CI/CD pipelines, automated testing frameworks, and large-scale deployment solutions.

  • In-depth knowledge of scripting languages (e.g., Python, Shell), configuration management tools (e.g., Ansible, Chef, Puppet), containerization technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).

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