Sr. Principal Software Engineer (Automation/Tooling) at Cadence

  • Company: Cadence
  • Location: Home China
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-12

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Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Position Summary We are seeking a Senior Principal Software Engineer to provide strategic technical leadership in tooling, automation, and DevOps for large-scale engineering software delivery. This role is responsible for architecting and driving scalable developer productivity platforms, build and release automation, CI/CD pipelines, infrastructure automation, quality gates, observability, and engineering workflow modernization. The successful candidate will act as a senior technical authority and hands-on individual contributor, partnering across the various engineering, QA, architecture, and IT teams to deliver build and QA tools. Key Responsibilities • Architect, design, and lead enterprise-scale tooling, automation, and DevOps solutions that improve engineering productivity, software quality, release efficiency, and operational reliability. • Provide technical leadership for CI/CD pipelines, build systems, release automation, test automation frameworks, deployment workflows, environment provisioning, and developer productivity platforms. • Drive automation across the software development life cycle, including requirements traceability, code integration, static analysis, automated testing, packaging, release validation, deployment, monitoring, and feedback loops. • Establish DevOps best practices for source control strategy, branching and merging, build reproducibility, artifact management, configuration management, infrastructure as code, secrets management, and secure software delivery. • Partner with engineering, QA, security, IT, architecture, and product teams to translate business and engineering needs into scalable technical solutions and implementation roadmaps. • Guide and mentor engineers on automation design, DevOps practices, SDLC discipline, Agile execution, code quality, testing strategy, observability, and continuous improvement. • Communicate technical strategy, tradeoffs, risks, metrics, and execution plans clearly to senior stakeholders and engineering leadership. Required Qualifications Education • Master’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline is required. Experience • 15+ years of software engineering experience, including significant experience leading tooling, automation, DevOps, build/release engineering, developer productivity, or engineering infrastructure initiatives. • Demonstrated expertise across the full software development life cycle, including planning, design, implementation, code review, integration, testing, release, deployment, operations, maintenance, and continuous improvement. • Strong proficiency with Agile development practices, including sprint planning, backlog refinement, estimation, iterative delivery, retrospectives, cross-functional collaboration, and metrics-driven execution. • Deep experience designing and modernizing CI/CD pipelines, build automation, test automation, release orchestration, deployment workflows, and engineering productivity systems for large-scale software products. • Hands-on experience with infrastructure automation, configuration management, environment provisioning, artifact management, dependency management, and reproducible build systems. • Experience establishing quality gates, automated validation, static and dynamic analysis, security scanning, compliance checks, release readiness criteria, and operational monitoring within engineering workflows. • Strong background in software development using languages such as C++, Python, C#, Java, Go, PowerShell, Bash, or equivalent languages used for product development and engineering automation. • Experience working with distributed engineering teams and aligning tooling, DevOps, and automation strategy across multiple products, platforms, and stakeholders. • Practical experience using AI-assisted software dev

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