Sr. Consultant Software Engineer (Java Backend + Gen AI/LLM)
New
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Microsoft
NewWe are looking for a highly motivated Senior Software Engineer to help build and evolve the next generation of storage, data, and distributed platform services that power Microsoft 365 and AI workloads at hyperscale.
In this role, you will design, develop, and operate highly reliable, low-latency, and scalable services. You will work across system architecture, performance optimization, reliability engineering, and AI-native development practices to modernize core platform components and accelerate engineering productivity.
You will partner with engineers, architects, product leaders, and principal engineers to solve challenging technical problems involving distributed systems, storage infrastructure, databases, high-concurrency services, and cloud-scale operations.
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.
Design, develop, test, and operate large-scale distributed services and platform components.
Drive feature development from requirements through design, implementation, deployment, and production support.
Improve scalability, reliability, availability, and performance of mission-critical services.
Investigate and resolve complex production issues across distributed systems.
Optimize latency, throughput, resource efficiency, and storage utilization.
Develop and maintain service telemetry, monitoring, diagnostics, and automated recovery mechanisms.
Contribute to architectural design reviews and technical decision making.
Collaborate across teams to deliver end-to-end platform solutions.
Apply AI-assisted development tools and AI-native engineering practices to improve development velocity and software quality.
Build automation for testing, validation, deployment, and operational workflows.
Champion engineering excellence through code reviews, mentoring, design discussions, and operational best practices.
Participate in on-call rotations and drive improvements that reduce operational burden.
Leverage data and production insights to guide technical investments and architectural evolution.
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:
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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