Senior Silicon Validation Engineer - Devops Validation

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).