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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - Growth (CoreAI) - **Company:** Microsoft - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $165,600 - $296,400 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Microsoft Online Services, C Sharp (Programming Language), C++ (Programming Language), Software Debugging, Distributed Systems, Failover, Python (Programming Language), Microsoft Visual Studio, Microsoft Copilot, Information Technology, Production Code - **Published:** November 6, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/86299895/1 ## About the Role * Proven ability to design and shipsystemic solutions(platforms, frameworks, primitives) that enable multiple teams to move faster - whileremainingdeeply handson and detailoriented * Software engineering fundamentals with experience building, shipping, and operatingproduction services or client applicationsat scale * Demonstrated technical leadership acrossarchitecture, service fundamentals, and quality(reliability, performance, operability, security, and maintainability) * Track recordof translating ambiguous product/business problems intomeasurable engineering outcomes, with clear hypotheses, instrumentation, and decision criteria * High data aptitude: comfortable with metrics, telemetry, and experimental analysis - and able to raise the bar on experimentation rigor and interpretation, * Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements * Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: + Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications * 8+ yearsbuilding and shippinghighavailability featuresformultiregion, globally distributed systems(resiliency, failover, capacity planning) * 4+ years of experience in experimentation with emphasis on quality: guardrails, bias detection, metric integrity, rollout risk management, and enterprise grade experimentation * Demonstrated experience buildingexperimentation/measurement platforms(feature flags/flighting, assignment, metrics pipelines, analysis tooling) used by multiple teams * Demonstrated experienceleaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production systems * Crossteam influence: you create clarity, align stakeholders, and drive execution across organizational boundaries - without becoming a "piecemover" ## Description * We'rebuildingAIfirst growth and experimentation systemsthat scale across Microsoft. This role is about designing foundational engineeringsystems (instrumentation, experimentation, rollout, and decisioning) that let teams ship, measure, learn fasterwith higher confidence. * As aPrincipal Growth Engineer inCoreAI,you'lldrive the technical strategy for how wemeasure, experiment, and scaleAI experiences across worldclass products - whileremainingdeep in the details and landing meaningful changes daily. * At this level, impact comes from buildingrepeatable systemsand raising the engineering bar: better experiment quality, better telemetry, safer rollouts, and clearer business outcomes - delivered through pragmatic execution and deep technical judgment. AboutCoreAI * CoreAI- Platform and ToolsisMicrosoft's AIfirst engineering organization, created to build theendtoend Copilot & AI stackpowering products likeGitHub Copilot and Visual Studio Code. * Our mission is toempower every developer to shape the future with AI, accelerating how AI applications are built, deployed, and improved atglobalscale. Responsibilities WhatYou'llDo * Own growth through engineering excellence and experimentation - at a systems level * Architect and buildpaved pathsfor online experimentation: standardized metrics, guardrails, analysis workflows, and rollout automation that improve reliability and decision quality across teams * Lead multiworkstream initiatives that span teams/products (e.g., unified growth measurement, crosssurface funnels, experimentation quality improvements) * Build and evolve core capabilities:telemetry foundations, experiment assignment/targeting, feature flighting, and risk controls (killswitches, guardrails, progressive delivery) * Partner with Product, Data Science, Design, and Research to turn ambiguous goals intoshippable, measurable systems * Stay close to the work: write production code, review designs/PRs, and coach others through architecture and implementation tradeoffs