Principal Software Engineering Manager

Microsoft
Redmond, WA, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$165,600.0 - $296,400.0
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) JavaScript (Programming Language) Microsoft Windows Microsoft Azure Microsoft Online Services C Sharp (Programming Language) C++ (Programming Language) Distributed Systems Python (Programming Language) Microsoft Office Software Engineering
+7 more
Xbox Linux Data Ingestion Microsoft Fabric Information Technology Low Latency Data Pipelines Microservices

Job description

Within Microsoft Fabric,We are looking for a Software Engineer to help shape the next phase of our Observability Platform. On this team, you’ll work on how trillions of signals from Microsoft’s intelligent cloud are ingested, processed, and turned into reliable, real time insights. We own the core telemetry ingestion pipelines that handle more than 100 petabytes of data every day and underpin observability across Azure, Office, Windows, Xbox, and a broad ecosystem of customer applications. This role sits close to the hard problems of scale, with strict requirements on throughput, reliability, correctness, and operability, and offers meaningful ownership over systems that run continuously at global scale. Beyond individual contributions, you’ll collaborate across teams, mentor engineers, and help establish technical direction and engineering standards as the platform evolves.

We embrace a fast-paced, startup-like culture focused on shipping early and often, with an emphasis on attention to detail, introspection, and accountability. Collaboration is at the heart of our team. We build on each other’s ideas and empower engineers to innovate from the ground up, delivering world-class value at speed.

What we build:

  • Low-latency data ingestion and processing pipelines.
  • Highly scalable, resilient microservices hosted in the cloud.
  • Availability indicators, monitoring, and auto-mitigation software.
  • Deployment and operational tooling.

  • If you’re passionate about building systems that power Azure’s observability and health at hyperscale, and thrive in an environment that values creativity, collaboration, and technical excellence, we’d love to hear from you.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities

  • Define and drive the technical strategy for Azure observability and reliability platforms, influencing architecture, engineering practices, and long-term investments across multiple teams and services.
  • Lead the design of highly scalable distributed systems that process and analyze telemetry at hyperscale, ensuring platform reliability, performance, and operational excellence.
  • Partner with engineering, product, and platform leaders across Azure to align priorities, navigate ambiguity, and deliver solutions that create broad customer and business impact.
  • Identify and address systemic challenges across architecture, operations, and engineering processes, improving the effectiveness and sustainability of critical platform capabilities.
  • Provide technical leadership through architecture reviews, design guidance, and mentoring, helping develop senior engineers and strengthen engineering excellence across the organization.
  • Drive innovation in observability, automation, and intelligent operations, shaping capabilities that improve service health, incident response, and engineering productivity at cloud scale., Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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.

Requirements

  • Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience., 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: Microsoft Cloud Background Check:

This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

  • Master’s Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • Experience with large scale distributed systems.

About the company

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is tobuild the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

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