Software Engineer

Overview

The Azure Core Trusted Platform team safeguards Microsoft’s foundational cloud infrastructure by ensuring that our engineering systems, services, and workflows meet the highest bars for security, privacy, and regulatory compliance. Microsoft runs on trust, and we build the platform‑level capabilities that make safe‑by‑default, compliant engineering possible across Azure, embedding transparency, traceability, and automated safeguards directly into how engineers build and operate services.

Our work increasingly leverages AI through agentic workflows, intelligent automation, and privacy‑aware generation and validation to solve traditionally complex compliance and safety challenges in scalable, creative ways.

As a Software Engineer on the team, you’ll work deeply in distributed systems, reliability, debugging, secure coding, cloud security, automation, and CI/CD, applying strong engineering fundamentals to build resilient, compliant platform components used across Microsoft.

Privacy Manager is a core part of this mission, providing the unified platform that helps hundreds of Microsoft engineering teams understand, track, and confidently manage how their services use, store, and move data. It brings together automated data‑flow insights, privacy‑aware tooling, and structured review workflows that make compliance easier to adopt and harder to get wrong. By integrating these capabilities directly into engineering processes, Privacy Manager enables teams to make informed decisions, reduce risk, and meet evolving global regulatory expectations without slowing down innovation.If you’re excited by the intersection of large‑scale systems, compliance engineering, and AI‑powered innovation, you’ll find a team that values curiosity, impact, and building the trusted foundations Microsoft and its customers rely on.

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

• Understanding User Requirements: Partner with product, security, privacy, and other stakeholders to determine and translate customer and user needs into feature requirements, continuously improving solutions based on user insights.
• Design & Architecture: Support identification of dependencies and contribute to architecture and feature design by evaluating options, developing design documents with oversight, and ensuring scalability, security, and testability through cross‑team collaboration.
• AI‑Native Development: Use AI tools responsibly across the software development lifecycle, validating and reviewing AI‑generated changes with strong engineering discipline.
• Coding & Implementation: With guidance, create and implement high‑quality, secure, and maintainable code by reusing existing components where applicable; break down work items into tasks, provide estimates, and execute features safely, including managing deployments, rollbacks, and experiments using flighting and metrics.
• Engineering Excellence: Apply secure design principles, improve tooling and automation, enforce security and compliance standards, and drive consistent, high‑quality engineering practices.
• Reliability & Supportability: Act as a Designated Responsible Individual (DRI) for simple issues by monitoring systems, product features, or services for degradation, downtime, or interruptions; follow established playbooks to recommend and execute recovery actions.
• Live‑Site Operations: Support live‑site operations through on‑call rotations, resolve incidents, and maintain reliable services by improving monitoring, telemetry, and operational readiness.
• Continuous Improvement: Review current developments and proactively seek new knowledge to improve the availability, reliability, efficiency, observability, and performance of products while driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.
• 1+ years of experience in the relevant fields mentioned.

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:

• Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.

#EiP

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.

Key skills/competency

• Distributed Systems
• Cloud Security
• Data Privacy
• Compliance Engineering
• AI-Powered Automation
• Secure Coding
• CI/CD
• Reliability Engineering
• Debugging
• Live-Site Operations