[Pipeline] Staff+ Software Engineer, Experimentation

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 405,000 - 485,000; Full time

Job summary

United States Digital Space LLC seeks a Software Engineer to enhance infrastructure that supports feature flagging, dynamic configuration, and experimentation systems. This role is pivotal to ensuring safe, reliable, and efficient code deployment across the company.

Ideal candidates should possess extensive experience in developer infrastructure, alongside strong communication and technical skills. The position offers a salary range of $405,000 to $485,000 USD annually, and ensures continued professional growth and robust support for visa sponsorship if necessary.

Qualifications

• Deep experience with configuration management, feature flagging, and/or experimentation platforms.
• Strong proficiency in Python, Rust and/or Go.
• Experience with container orchestration and infrastructure at scale.

Responsibilities

• Own the technical strategy and roadmap for config and experimentation infrastructure.
• Maintain and enhance the architecture for feature flagging and dynamic configuration systems.
• Design and build scalable, reliable distributed infrastructure.

Skills

Configuration management

Feature flagging

Experimentation platforms

Python

Rust

Go

Container orchestration

Excellent communication

Education

Bachelor’s degree or equivalent

Job description

About the Role

the company's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at the company develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads.

Responsibilities

• Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more
• Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams
• Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact
• Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
• Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)
• Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale
• Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules)
• Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines

Compensation

Annual Salary: $405,000 — $485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.