"Alerted.org

Overview

**Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team?**  Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work.

Azure Reliability is driving transformation to AI-powered operations by building scalable ML infrastructure that enables autonomous, reliable, and secure cloud systems. We are looking for candidates that can combine deep technical expertise in MLOps with a proven ability to deliver measurable business impact through continuous learning, policy-driven governance, and responsible AI practices. Success in this role means advancing operational autonomy, quality, and security, while fostering collaboration and accountability across teams.

Every day, customers stake their business and reputation on our cloud. You can help #EngOps keep them secure, resilient, and ready.

This role will require a minimum of three days in office.

Company Culture Statement

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

+ Integrate readiness systems across all partner teams to ensure workflows, documentation, onboarding, and learning operate as one coherent system.

+ Own the end-to-end roadmap for learning, onboarding, enablement, cultural mechanisms, and signals—driving quarterly commitments, dependencies, and measurable progress.

+ Translate AI platform patterns into durable engineering systems, including Copilot workflows, agents, diagnostics, documentation automation, and on-the-job AI scenarios.

+ Lead the creation and maintenance of MOUs across pillars to define responsibilities, remove ambiguity, and standardize cross-team collaboration.

+ Simplify and integrate the team's work into the org’s operating rhythm, eliminating ROB collisions and aligning training and onboarding with business cadence.

+ Define and operationalize role-specific AI adoption pathways, ensuring AI use becomes natural, expected, and embedded in day-to-day engineering work.

+ Embed organizational health and Employee Signals into the readiness system, turning sentiment insights into action loops that guide priorities and system improvements.

+ Establish consistent leadership norms and cultural mechanisms that reinforce psychological safety, system-first communication, and clear expectations for experimentation.

+ Represent STAR in technical and operational forums, influencing senior engineers, TLs, and directors, and ensuring readiness systems align with architectural direction and reliability expectations.

Qualifications

Require Qualifications:

+ Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.

+ 3+ years of experience managing cross-functional and/or cross-team projects.

Preferred Qualifications:

+ Demonstrated experience leveraging AI and automation to improve engineering workflows, operational systems, or program execution at scale.

+ Ability to reason about AI capabilities, limitations, and risk, and to translate platform innovations (e.g., copilots, agentic systems, intelligent automation) into durable, governed systems adopted across teams.

\#AzRelJobs #EngOps

Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)