Senior/Principal Software Engineer - Growth (CoreAI)
Microsoft · Mountain View
About this role
Raise the bar for experimentation quality across CoreAI Turn learning into leverage — faster adoption, better experiences, measurable results Software engineering fundamentals with experience building, shipping, and operating production services or client applications Proficiency in designing scalable, reliable systems that support rapid iteration and experimentation Experience writing high‑quality, maintainable code and owning services end‑to‑end in a live environment Ability to reason about performance, reliability, and correctness in high‑traffic systems Experience supporting or driving experimentation (A/B testing) in production environments Understanding of experimentation quality, including guardrails, metrics selection, and rollout strategies Engineering mindset grounded in hypothesis‑driven development and learning through iteration Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years shipping A/B tests end‑to‑end in production (design → instrumentation → analysis → rollout), including improving experiment quality and guardrails 4+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning) Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production features Own growth through engineering excellence and experimentation Design, ship, and iterate on growth experiments across acquisition, activation, engagement, and retention Build and evolve A/B testing frameworks, metrics, and tooling that raise experimentation quality and confidence Partner closely with Product, Data Science, Design, and Research to turn hypotheses into shipped learnings Use data and telemetry to guide decisions — from e
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