Senior and Principal Software Engineers - Azure AI Search Job at Microsoft Corporation (Redmond)

Job Description

Join Azure AI Search Engineering Foundations as a Senior or Principal Software Engineer and help transform how we build, validate, ship, and operate AI Search at scale—securely and reliably. You’ll improve the end-to-end developer experience across inner-loop productivity and outer-loop CI/CD, validation, release, and operations by turning ambiguous engineering pain points into practical tooling, automation, and standards that teams adopt.

Job Responsibility

Own and deliver engineering foundations work end‑to‑end—spanning design, implementation, testing, rollout, and iteration—to improve the inner‑ and outer‑loop developer experience across Azure AI Search.
Partner closely with feature, platform, and infrastructure teams to understand developer pain points, translate requirements into pragmatic tooling, automation, and process improvements, and drive adoption through collaboration and iteration.
Prototype, evaluate, and integrate AI‑assisted engineering tools and modern workflows that measurably improve developer productivity, quality, reliability, and operational confidence.
Design and incrementally deliver scalable, reliable, and efficient solutions across CI/CD pipelines, build and test infrastructure, validation frameworks, automation, and operational tooling—using data and feedback to validate impact.
Apply a security‑first mindset in daily engineering work, including secure coding practices, threat modeling, identity and secrets hygiene, and compliance‑aware design.
Navigate ambiguity by breaking down complex problems, proposing options and tradeoffs, aligning stakeholders around a clear direction, and communicating progress, risks, and outcomes effectively.
Lead by example through strong technical judgment, mentorship, and collaboration, helping raise the bar for engineering practices while fostering an inclusive, high‑trust team culture.
Define and influence a high‑quality developer experience for Azure AI Search by setting standards, establishing best practices, and driving improvements that enable engineering teams to thrive.
Deliver results with a focus on measurable outcomes, such as reduced build and test times, faster PR validation, improved pipeline reliability, and decreased manual toil.

Requirements

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.
Experience building or operating services on Azure (or comparable cloud platform).
Experience with secure engineering practices (e.g., threat modeling, secure coding, secrets management, managed identities, authentication/authorization, certificates).
Experience building developer platforms or frameworks (e.g., validation frameworks, test infrastructure, internal SDKs, reusable libraries).
Experience evaluating or integrating AI-assisted developer workflows in a production engineering environment.
Master's Degree in Computer Science or related technical field OR equivalent experience.
Successful track record delivering production software end-to-end (design, implementation, testing, rollout) for a service or platform, with clear ownership of at least one meaningful component or capability.
Successful track record improving engineering productivity through tooling, automation, build/test infrastructure, CI/CD, or operational tooling—demonstrated by measurable outcomes (e.g., reduced build/test/validation time, improved pipeline reliability, reduced manual steps/toil).
Successful track record operating and improving reliability of software systems by diagnosing issues from logs/metrics/traces, driving fixes, and validating improvements (e.g., reduced incident recurrence, improved operational health signals).
Successful cross-team collaboration: partnered with stakeholders to clarify ambiguous requirements, evaluate tradeoffs, and deliver agreed outcomes (e.g., shipped incremental milestones, communicated risks and dependencies clearly).
Successful track record gathering and confirming requirements by leveraging multiple feedback channels and data (e.g., partner input, developer signals, productivity metrics) to inform designs and iterative improvements.

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Senior and Principal Software Engineers - Azure AI Search

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