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Software Engineering

United States, Redmond Employment contract 119800.00 - 234700.00 USD / Year · Job Posted May 04, 2026
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Job Description

Microsoft Digital (MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster, and more securely every day. Microsoft Digital employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates. We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more! This team doesn't just move data - it builds the intelligence layer that powers Microsoft's global infrastructure. We are looking for a data focused Software Engineer who treats large-scale data platforms as mission-critical systems, not reporting pipelines. You will design and operate multi-terabyte, real-time data pipelines and analytics systems that ingest telemetry from devices and services across the enterprise, transforming raw signals into trusted, high-quality data products used for automation, decision-making, and AI-driven workflows. What makes this team different? Everything we build is designed for scale, speed, and autonomy. You'll work on modern data mesh architectures using cutting-edge platforms like Microsoft Fabric to democratize analytics while enforcing strong data quality, governance, and observability standards. Your work will enable real-time telemetry and insight that power agentic automation—helping systems detect configuration drift, security risks, and operational anomalies and respond without human intervention. This is data engineering where real-time guarantees and correctness matter as much as throughput. You will join a highly experienced, fun and dynamic team responsible for the data foundations behind Microsoft's infrastructure services—systems that enable every employee, contractor, and guest to work productively and securely every day. The problems are complex, the scale is unmatched, and the expectations are high: solve hard data challenges, meet business demands using Big Data, and continuously raise the bar for reliability, engineering excellence and observability across all infrastructure IT services. If you want your engineering work to directly shape how Microsoft operates at global scale, this is the team pushing that frontier forward. 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.

Job Responsibility

  • Engineer platform reliability at scale
  • Design, build, and operate through a real SDLC
  • Drive architectural maturity and engineering excellence
  • Apply AI and automation for continuous improvement
  • Deliver trusted AI-Ready data that drives business and operational outcomes
  • Instrument the enterprise for deep observabiity
  • Modernize the data and engineering toolchain

Requirements

  • 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
  • 4+ years operating and improving large-scale online services
  • 2+ years of Data Engineering platform development
  • 2+ years of hands-on coding in JavaScript, Python, PiSpark, SQL/kQL, PowerShell, or C#
  • SDLC fluency
  • Strong communication and collaboration skills
  • Comfort with ambiguity and pace

Nice to have

  • Experience and knowledge of IT infrastructure and networking
  • Familiarity with Data/AI/ML tools such as Synapse/Fabric/Kusto/Data factory/EventHub/StreamAnalytics
  • Experience with Azure DevOps, CI/CD pipelines, or infrastructure-as-code

What we offer

Certain roles may be eligible for benefits and other compensation

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