Sr. Principal Software Engineer; Automation/Tooling
Job in
Houston, Harris County, Texas, 77001, USA
Listed on 2026-10-27
Listing for:
Cadence Design Systems
Full Time
position Listed on 2026-10-27
Job specializations:
-
Software Development
DevOps, Software Engineer, Software Architect, Cloud Engineer - Software
Job Description & How to Apply Below
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 Dev Ops 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 Dev Ops 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 Dev Ops 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, Dev Ops 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.
- Master's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline is required.
- 15+ years of software engineering experience, including significant experience leading tooling, automation, Dev Ops, 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, Power Shell, Bash, or equivalent languages used for product development and engineering automation.
- Experience working with distributed engineering teams and aligning tooling, Dev Ops, and automation strategy across multiple products, platforms, and stakeholders.
- Practical experience using AI-assisted software development tools such as Git Hub Copilot, Cursor, or similar tools to improve coding productivity, code review efficiency, documentation, and engineering workflows.
- Expert-level proficiency with Dev Ops tool chains such as Git, Azure Dev Ops, Git Hub Actions, Jenkins, Git Lab CI/CD, Team City, Artifactory, Nexus, Docker, Kubernetes, Terraform, Ansible, or equivalent technologies.
- Strong programming and scripting skills for automation, tooling, and infrastructure integration using Python, Power Shell, Bash, C++, C#, Java, Go, or…
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