Responsibilities
Design and develop scalable platform services and APIs.
Build capabilities that enable intelligent agents to discover information, invoke tools, execute actions, and orchestrate workflows.
Own features from design through deployment and production operations.
Participate in architecture discussions and technical reviews.
Improve service performance, scalability, reliability, and security.
Develop reusable frameworks, libraries, and platform components.
Collaborate closely with product managers, designers, and partner engineering teams.
Investigate production issues and implement long-term solutions.
Contribute to engineering standards, code quality, testing practices, and operational excellence.
Mentor engineers and contribute to a strong engineering culture.
Qualifications
Required Qualifications:
- 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.
- Deep experience building large-scale distributed systems and cloud platforms.
- Strong expertise in software architecture, system design, scalability, resiliency, and performance engineering.
- Extensive experience with modern cloud ecosystems such as Azure, AWS, or Google Cloud.
- Experience leading complex technical projects involving multiple engineering teams.
- Strong communication and technical leadership skills.
- Track record of delivering highly reliable production services at scale.
- Master's Degree in Computer Science or related technical field AND 7+ 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 8+ 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 developer platforms, integration platforms, or extensibility ecosystems.
- Experience with AI platforms, agent systems, workflow automation, or orchestration frameworks.
- Experience designing multi-tenant SaaS systems.
- Experience with Kubernetes, microservices, event-driven architectures, and distributed data platforms.
- Experience driving technology strategy and platform evolution across organizations.#W+DJOBS #WDJOBS #WSSIJOBS
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.
Skills Required
- Bachelor's degree in Computer Science or related technical field and 4+ years of technical engineering experience, including coding in C, C++, C#, Java, JavaScript, or Python; equivalent experience accepted.
- Deep experience building large-scale distributed systems and cloud platforms.
- Strong expertise in software architecture, system design, scalability, resiliency, and performance engineering.
- Extensive experience with modern cloud ecosystems such as Azure, AWS, or Google Cloud.
- Experience leading complex technical projects involving multiple engineering teams.
- Strong communication and technical leadership skills.
- Track record of delivering highly reliable production services at scale.
- Ability to pass Microsoft's Cloud Background Check upon hire or transfer and every two years thereafter.
- Master's degree in Computer Science or related technical field and 7+ years of technical engineering experience, or bachelor's degree and 8+ years; equivalent experience accepted.
- Experience building developer platforms, integration platforms, or extensibility ecosystems.
- Experience with AI platforms, agent systems, workflow automation, or orchestration frameworks.
- Experience designing multi-tenant SaaS systems.
- Experience with Kubernetes, microservices, event-driven architectures, and distributed data platforms.
- Experience driving technology strategy and platform evolution across organizations.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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