Role : Silicon Validation Tools & Infrastructure/Devops Engineers

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).