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.

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