Senior Software Engineer ( AI/ML)
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Microsoft
NewLead architecture and evolution of a managed Kubernetes control plane, solving distributed-systems challenges across API servers, etcd, scheduling, and networking. Requires six years of software engineering experience with languages like C++, C#, Java, or Python, plus preferred expertise with Kubernetes components, reliable distributed services, and networking. Base pay ranges from $142,800–$274,800 annually, or $188,000–$304,200 in San Francisco and New York.
Written from this posting by Neural Jobs AI. The full description is below.
The Azure Kubernetes Service (AKS) team is building a world-class managed Kubernetes platform for Linux and Windows workloads across cloud and edge environments. Our mission is to define the next generation of secure, reliable, and scalable cloud-native infrastructure on Azure.
We are seeking a Principal Software Engineer to lead the architecture and evolution of the AKS control plane. You will solve complex distributed-systems challenges across Kubernetes API servers, etcd, scheduling, controllers, networking, and control-plane lifecycle management. Your work will improve availability, performance, scalability, security, and operational resilience for millions of clusters and some of the world’s largest production and AI workloads.
You will drive designs that eliminate single points of failure, reduce customer-impacting incidents, improve failure isolation and automated recovery, and enable control planes to scale safely under rapid growth and demanding workloads. You will establish reliability engineering practices using meaningful SLIs and SLOs, capacity modeling, fault injection, observability, and data-driven incident prevention. You will also lead cross-team technical initiatives, influence upstream Kubernetes, and guide engineers through architecture, implementation, rollout, and production operations.
As AI transforms infrastructure requirements, AKS is enabling increasingly large GPU and accelerator fleets, high-throughput training and inference workloads, and AI-native applications. You will help ensure that the AKS control plane remains predictable, efficient, and resilient as these workloads push Kubernetes to new limits of scale.
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.
Required Qualifications:
Other Requirements:
Preferred Qualifications:
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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