Principal Engineer, Engineering Productivity

About the Role

The Engineering Productivity Team at NetSkope builds the foundational CI/CD systems that enable our engineers to deliver industry-leading security products with speed and quality. We are looking for an experienced Principal Software Engineer to own and drive our CI/CD strategy, with a special focus on creating a fast, safe, and reliable path to production. You will architect the next generation of developer tooling, directly accelerating our pace of innovation from commit to deployment.

What You Will Do

• Architect, build, and scale robust CI/CD infrastructure for complex microservices environments.
• Strategize best ways for implementing the continuous deployment of dynamically growing Kubernetes/Docker-based microservices architectures
• Lead the evaluation and integration of cutting-edge developer tools, including advanced automation and AI-powered solutions, to improve engineering velocity and productivity
• Collaborate with Netskope internal partner teams to ensure the platform meets stakeholder needs.
• Participate in an on-call rotation to ensure the reliability of the critical systems you build.

Required Skills and Experience

• 15+ years of software engineering experience, with deep expertise in designing and building CI/CD platforms, with strong emphasis on Continuous Deployments
• A proven ability to lead technical strategy, influence cross-functional teams, and mentor other engineers.
• Exceptional problem-solving, analytical, and communication skills, with an insatiable curiosity and comfort in ambiguous, fast-paced environments.

• Deep expertise with modern technologies, including:

  • Languages: Python, GoLang, knowledge with Java Spring framework would be preferred
  • CI/CD, IaC & Automation: Infrastructure as Code (IaC) using Terraform and Helm; deployment pipelines using Drone or GitHub Actions. Experience with Spinnaker is a significant advantage.
  • Cloud & Containers: AWS, Kubernetes, Docker, and experience orchestrating infrastructure for AI/LLM workloads
  • AI & Innovation: Experience integrating AI-powered tools, LLMs, or autonomous agents into developer platforms and infrastructure workflows to drive efficiency

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred