Microsoft · 4 hours ago
Principal Software Engineering Manager - Data Science & Engineering
United States
Full-time
Remote
Senior Level, Lead/Staff
$140K/yr - $275K/yr
6+ years expMicrosoft is one of the largest enterprise service companies in the world, and they are seeking a Principal Software Engineering Manager - Data Science & Engineering to join their MSRC Data Science team. The role involves leading a team in utilizing AI tools, improving software development practices, and building scalable data pipelines to enhance security insights and operational efficiency.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC). Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same. Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared. Guides the architecture of scalable pipelines and datasets. Influences the direction of the team. Begins to anticipate potential data pipeline issues and provides solutions. Collaborates with data providers across disciplines. Guides team to use data pipelines for training, as well as for shipping models which should execute correctly
Conducts incident retrospectives to identify root causes of problems, and leads teams on implementing repair actions and identifying mechanisms to prevent incident recurrence. Tracks and attempts to minimize cost of debugging multiple scenarios. Leads team on proactively applying least-access principles, using logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and driving those practices
Guides team within and across teams on producing extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns and provides deep expertise on the coding and validation strategy
Defines or reuses quality metrics, best practices, and coding patterns to ensure testable code. Leads by example in best code-writing practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Leads team on identifying and anticipating blockers or unknowns during the development process, escalating them, communicating how they will impact timelines, and leading efforts to identify and implement strategies and/or opportunities to address them
Guides team on leading the identification of requirements for, and the comprehensive application of automation within production and deployment across products, targeting zero-touch deployment when possible. Guides others to run code in simulated, or other non-production environments to confirm functionality and error-free runtime across products. Ensures a continuous integration/continuous deployment (CICD) infrastructure is in place that promotes developer and operational agility (e.g., low lead-time-to-change metrics)
Guides team on driving multiple groups' project plans, release plans, and work items in coordination with appropriate stakeholders (e.g., technical program managers). Breaks down very long-term project vision into milestones. Guides other members on project estimation. Anticipates future goals to guide future resources. Reviews, implements, and recommends updates to resource management in response to changing context. Guides team on driving efforts to ensure required security protections and detection processes are accounted for in planning. Guides team on driving efforts to ensure project plans adhere to security, privacy, and compliance requirements
Guides team on driving efforts to ensure all code for a set of products/solutions is properly flighted for quicker mitigation of production incidents. Leads team on calculating adequate capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a set of products
Qualification
Required
Bachelor's Degree in Computer Science or related technical field AND 6+ 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: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred
Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ 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 people management experience
Experience guiding the architecture of scalable pipelines and datasets
Experience leading teams to build and operate machine learning and data extraction, transformation, and loading (ETL) pipelines
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-15
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