DevOps Engineer

2 weeks ago

Hyderabad, India Stealth Mode Startup - AI Product Based Company Full time

Role : Silicon Validation Tools & Infrastructure/Devops EngineersDevOps 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 deploymentsTechnical 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). (ref:hirist.tech)

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