Microsoft AI is building the next generation of AI platforms and experiences. The Foundry Billing team plays a critical role in enabling these experiences by providing reliable, accurate, and scalable billing capabilities across Azure AI Foundry.
We are looking for a Software Engineer who is passionate about building large-scale distributed systems and solving complex engineering problems. You will work on the end-to-end billing platform that enables new AI models, services, and commercial offerings to launch with accurate and trustworthy usage and billing.
Foundry Billing is responsible for commercial implementation readiness, usage correctness and attribution, billing delivery and charge assurance, reconciliation, and customer usage observability.
Responsibilities
As a Software Engineer on the Foundry Billing team, you will:
- Design, implement, test, and operate scalable billing services that process high-volume AI usage and reliably deliver billing data to downstream Azure Commerce and Marketplace systems.
- Enable new AI models and features for billing, working with partner teams to define billing units, meters, usage semantics, attribution, and end-to-end launch readiness.
- Improve billing correctness and reliability, including usage validation, deduplication, reconciliation, replay and recovery mechanisms, and detection of missing or incorrect billing data. These are core guarantees of the Foundry Billing platform.
- Build automation and engineering tools for billing validation, model onboarding, deployment, monitoring, backfill, remediation, and other production operations.
- Develop effective monitoring, diagnostics, and alerting to detect billing delays, data loss, incorrect metering, and service reliability issues before they affect customers.
- Enable Foundry FinOps and new business scenarios and platform capabilities by collaborating with different teams.
Qualifications
5+ years of professional experience designing, developing, and shipping software using any of C#, C++, Java, Python, JavaScript/TypeScript, Rust, or Go.
Bachelor’s Degree in Computer Science or equivalent experience.
Preferred Qualifications:
Hands-on experience with distributed systems, cloud services, containers, orchestration platforms, or production AI infrastructure.
Proven ability to diagnose complex technical issues and improve the reliability, scalability, performance, security, and cost efficiency of online services.
Excellent written and oral communication skills.
Experience in technical leadership in driving engineering roadmaps, leading v-teams, mentoring and helping others grow technically is a plus.
Experience building AI applications or agents using models, tools, retrieval, agent frameworks, evaluation, tracing, or observability is a plus.
Experience using public cloud services, including Azure, AWS, or Google Cloud, and familiarity with identity, role-based access control, private networking, and operational monitoring.
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
- 5+ years of professional experience designing, developing, and shipping software
- Experience with at least one of C#, C++, Java, Python, JavaScript, TypeScript, Rust, or Go
- Bachelor's degree in Computer Science or equivalent experience
- Hands-on experience with distributed systems, cloud services, containers, orchestration platforms, or production AI infrastructure
- Experience diagnosing complex technical issues and improving online service reliability, scalability, performance, security, and cost efficiency
- Excellent written and oral communication skills
- Technical leadership experience, including driving engineering roadmaps, leading virtual teams, or mentoring engineers
- Experience building AI applications or agents using models, tools, retrieval, agent frameworks, evaluation, tracing, or observability
- Experience using public cloud services such as Azure, AWS, or Google Cloud
- Familiarity with identity, role-based access control, private networking, and operational monitoring
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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Healthcare Strength — Medical, dental, and vision coverage is described as comprehensive, with U.S. plans covering preventive care at 100% and limiting annual out-of-pocket costs. Mental-health counseling, employee assistance, and wellbeing resources are also emphasized.
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Parental & Family Support — Parental leave, family-caregiver leave, childcare assistance, and family concierge services are highlighted as core elements. These supports are presented alongside parenting and family-planning resources.
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Leave & Time Off Breadth — Vacation, holidays, and flexible work schedules are emphasized, with generous time-away policies noted. Leave options extend beyond standard vacation to include caregiver and parental programs.
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