Principal Software Engineer - Parameters & Experimentation

What you'll do

• Architect and build scalable, low-latency distributed configuration and feature-flag services with reliable consistency and failure behavior.
• Develop automated validation, progressive rollouts, health guardrails, rollback, and experimentation measurement infrastructure.
• Lead delivery and adoption across teams, including AI-powered platform capabilities, production engineering, operations, and mentoring.

What they ask for

• 12+ years of software engineering experience, including technical leadership of complex backend or infrastructure initiatives spanning multiple teams.
• Experience designing, building, and operating large-scale distributed systems; strong understanding of concurrency, consistency, caching, failure recovery, and performance.
• Hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
• AI-first engineering practice, including active use of AI throughout the software lifecycle.

Nice to have

• Experience with feature-flag or configuration platforms, distributed control planes, progressive delivery, or experimentation infrastructure.
• Experience with AI-powered developer tools.

Pay

$264K – $379.5K (base salary; currency not specified)

Tools

Java, Go, C++, AWS, Azure, Google Cloud

AI focus

Use AI throughout software design, implementation, testing, and operations; build AI-powered capabilities for configuration discovery, risk assessment, rollout planning, and impact analysis, with evaluation, security, and reliability standards.