2 days ago
London, United KingdomMid Level
Responsibilities
- Design and build distributed services, control planes, workflow engines, and platform APIs for AI compute cluster lifecycle management.
- Build secure-by-default cluster bootstrap, Kubernetes control planes, networking, identity and access, image distribution, secrets, infrastructure-as-code, and cluster metadata capabilities.
- Automate rack and node qualification, topology validation, scale testing, and the transition from delivered hardware to healthy, schedulable fleet capacity.
- Develop telemetry, diagnostics, health-signal, lifecycle-state, and remediation systems for hardware, hosts, networks, and storage.
- Build policy-driven automation for certification, maintenance, safe software rollouts, and rollback.
- Use benchmarks, workload profiles, production evidence, and fault injection to improve architecture, efficiency, failure detection, and recovery.
- Turn incidents and recurring operational work into durable software, guardrails, and automated workflows.
- Partner with research, hardware health, networking, storage, security, and datacenter teams on compute infrastructure architecture.
- Provide technical leadership through design reviews, architecture decisions, code quality, mentoring, and complex cross-team initiatives.
Requirements
- Bachelor's degree in computer science, computer engineering, electrical engineering, or a related technical field and 4+ years of software engineering experience, or equivalent experience.
- 4+ years designing and implementing scalable software for cloud, datacenter, cluster, or fleet infrastructure using a general-purpose language such as Go, Rust, C++, C#, Java, or Python.
- Experience with Kubernetes or comparable cluster orchestration, Linux systems, public-cloud infrastructure, and infrastructure-as-code or declarative configuration.
- Ability to debug complex behavior across service, control-plane, operating-system, networking, and hardware boundaries and convert findings into robust software improvements.
- Experience leading projects across multiple teams and communicating technical tradeoffs to technical and non-technical stakeholders.
- Preferred: master's degree and 6+ years of relevant software engineering experience, or equivalent experience.
- Preferred: hyperscale compute infrastructure experience, cluster and node lifecycle systems, Kubernetes internals, cloud foundations, health and remediation platforms, low-level systems, GPU or accelerator systems, high-performance interconnects and storage, and production reliability or incident response.
- Preferred: ability to create alignment across senior stakeholders, mentor engineers, drive multi-quarter initiatives, and write clean, testable, maintainable, secure, and well-documented code.
Benefits
- The role is based at a designated Microsoft office at least four days per week for employees living within 50 miles in the U.S. or 25 miles in non-U.S. locations, subject to local law and jurisdiction.
- Certain roles may be eligible for benefits and other compensation.
- Applications are accepted on an ongoing basis until the position is filled, with the position open for at least five days.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.