Principal Cloud DX Software Engineer (CI/CD)

Accountabilities:

• • Own the architecture and technical direction of CI/CD and configuration management across a large-scale production fleet, ensuring delivery systems remain reliable, secure, scalable, and predictable.
  • Design templated, repeatable processes for provisioning new production environments, enabling teams to expand into new regions and isolated deployments without significant operational overhead.
  • Define reference architectures and performance profiles appropriate for different Kubernetes cluster sizes and deployment environments.
  • Establish scalable solutions for managing version skew, release cadence, and software delivery across environments operating at different speeds.
  • Set and promote best practices for progressive delivery, including canary releases, automated rollbacks, safe-by-default deployments, and trunk-based development.
  • Build self-service “paved paths” that allow product engineering teams to deploy applications without requiring deep platform expertise.
  • Own delivery performance end-to-end, continuously improving pipeline reliability, speed, observability, and predictability.
  • Evolve the Internal Developer Portal and surrounding self-service tooling to improve the developer experience and simplify software delivery.
  • Partner with Cloud Platform, Security, and Compliance teams to ensure delivery workflows meet required security, governance, and regulatory controls.
  • Provide technical leadership across the organization, influencing architecture and engineering practices while mentoring Staff and Senior Engineers.
  • Embed AI-powered tools and workflows into the software development lifecycle to drive lasting improvements in engineering velocity, quality, and developer experience.

  Requirements:

  • Demonstrated experience in Platform Engineering with a strong focus on CI/CD within organizations of 250+ engineers.
  • Proven experience owning and operating CI/CD platforms at both the administrative and architectural levels, including security, configuration management, and developer enablement.
  • Deep expertise with GitOps and declarative configuration at scale, combined with experience designing and operating large-scale software delivery systems.
  • Strong hands-on software engineering background with experience delivering production-quality software.
  • Practical experience with cloud-native architectures and Kubernetes-based platforms.
  • Strong understanding and enthusiasm for progressive delivery practices, including canary deployments and automated rollbacks.
  • Demonstrated ability to establish technical direction, influence senior engineers and engineering leaders, and drive adoption of new standards across multiple teams.
  • Strong collaboration and communication skills, with the ability to work effectively across distributed teams and time zones.
  • Genuine interest in AI-assisted engineering and a track record or strong motivation to use AI tools to improve engineering productivity, quality, and developer workflows.
  • Experience launching new production regions or isolated deployments end-to-end is a plus.
  • Background spanning both product software engineering and platform engineering is advantageous.
  • Working knowledge of RBAC, OAuth, and compliance frameworks such as SOC 2, ISO 27001, and GDPR is preferred.
  • Strong ability to balance technical depth with organization-wide business and operational priorities.

  Benefits:

  • Base salary range of $246,000–$339,000 USD, with the final offer determined by factors including experience, expertise, location, and other relevant considerations.
  • Potential performance-based bonus and equity opportunities.
  • Generous employee benefits program.
  • Opportunity to work on large-scale cloud infrastructure and developer platforms used by a globally distributed engineering organization.
  • High-impact principal-level role with significant influence over engineering architecture, practices, and developer experience.
  • Collaborative environment working with senior engineers, engineering leaders, security, cloud platform, and compliance teams.
  • Opportunity to advance AI-assisted software development practices across the organization.