Software Engineer at Microsoft

, , -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, Reliability, Debugging, Secure Coding, Cloud Security, Automation, CI/CD, AI-Native Development, Secure Design, Telemetry, Code Reviews, Architecture Design, Live-Site Operations, Data Flow Insights, Compliance Engineering, Scalability

Industry

Software Development

Description

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 AI‑Native Development: Use AI tools responsibly across the SDLC, validating and reviewing AI‑generated changes with strong engineering discipline. Coding: Write high‑quality, secure, maintainable code and proactively prevent, diagnose, and resolve issues through testing, telemetry, and effective code reviews. Design: Contribute to architecture and feature design by evaluating options, ensuring scalability, security, and testability, and collaborating across teams. Engineering Excellence: Apply secure design principles, improve tooling and automation, enforce security and * compliance standards, and drive high‑quality engineering practices. Implementation: Break down and execute work items, plan and deliver features safely, manage deployments and rollbacks, and run experiments using flighting and metrics. Reliability & Supportability: Support live‑site operations through on‑call rotations, improve monitoring and telemetry, and resolve incidents to maintain reliable services. Understanding User Requirements: Partner with product, security, and privacy stakeholders to translate customer needs into feature requirements and continuously improve based on user insights. Qualifications Required Qualifications: 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 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: Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. #azurecorejobs 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.

Responsibilities

The role involves using AI tools responsibly across the Software Development Life Cycle (SDLC), writing high-quality, secure code, and contributing to architecture and feature design for platform components. Responsibilities also include supporting live-site operations, improving tooling, and partnering with stakeholders to translate customer needs into feature requirements.