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Principal Software Engineer

Microsoft· Software Engineering
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Redmond, WA$142.8k - $274.8kfull-timePosted 1w ago

About the role

The Principal Software Engineer will architect, design and develop a large-scale data platform that delivers actionable insights into data center infrastructure capacity utilization and product consumption revenue, enabling business teams with key insights. The role combines cloud-native distributed systems, advanced data engineering, and AI-powered software engineering to define technical vision, govern data ingestion/processing/modeling, and accelerate delivery using AI-assisted development and agentic workflows. On-site requirement: 3 days a week in Redmond, WA.

Responsibilities

  • Architect highly scalable distributed data systems to process massive volumes of infrastructure telemetry, and cloud product consumption data.
  • Design reusable data processing frameworks, canonical data models, and data contracts that accommodate evolving business requirements.
  • Establish robust data engineering patterns for incremental processing, late-arriving data, historical backfills, reconciliation, lineage, and schema evolution.
  • Lead architectural decisions across cloud data platforms, distributed compute engines, data lakes, streaming and batch processing, and analytical serving systems, balancing data freshness, correctness, performance, and cost.
  • Deliver actionable, explainable insights using AI and advanced analytics to drive business impact and data-driven decision-making.
  • Design AI-powered software engineering workflows leveraging coding agents, retrieval-augmented generation (RAG), domain knowledge repositories, and tool-integrated agents to accelerate development and modernization of large-scale data systems.
  • Apply AI to analyze legacy codebases, map dependencies, generate implementation plans, automate refactoring, and improve test generation and code quality.
  • Develop agentic workflows to streamline data pipeline development, code reviews, failure triage, root-cause analysis, and operational knowledge discovery.
  • Establish governance and quality guardrails for AI-generated code, including automated testing, data correctness validation, security reviews, and production-readiness checks.
  • Drive measurable improvements in engineering productivity, development lead time, test automation, defect reduction, pipeline reliability, observability, and recovery time
  • Embody our culture and values.

Qualifications

  • 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 Scala, Python, C#, Java OR equivalent experience.

Skills

Required:ScalaPython
Nice to have:C#Java

Benefits

  • Not specified in description
Last updated Oct 16, 2026. Interested? Apply on the company site.

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