data focused Software Engineer

Microsoft
Redmond, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 235K

Job location

San Francisco, United States of America

Tech stack

C
Java
JavaScript
Artificial Intelligence
Azure
C Sharp (Programming Language)
C++
Continuous Integration
Data Validation
Information Engineering
Data Systems
Python
Online Service Provider
Powershell
Systems Development Life Cycle
Kusto Query Language
Software Engineering
SQL Databases
Information Technology
Real Time Data
Machine Learning Operations
Software Coding

Job description

  • Engineer platform reliability at scale: You will own the reliability, availability, and correctness of large-scale, real-time data platforms powering Microsoft's infrastructure. You define and drive SLOs, error budgets, and operational health for multi-terabyte pipelines and analytics systems-owning outcomes, not just services.
  • Design, build, and operate through a real SDLC: You will take ambiguous, high-impact business and infrastructure requirements and translate them into durable, well-architected data systems. This includes authoring designs, building production-grade pipelines, validating data quality guarantees, and shipping safely through disciplined CI/CD and release practices.
  • Drive architectural maturity and engineering excellence: You will raise the bar across the data platform by defining patterns for real-time ingestion, data modeling, observability, and governance. You influence architectural direction, uphold engineering standards, and push the platform toward greater autonomy, scalability, and resilience.
  • Apply AI and automation for continuous improvement: You will leverage AI-assisted engineering and intelligent automation to reduce operational toil, improve data quality, accelerate diagnostics, and enable agentic workflows. The goal isn't automation for its own sake-it's faster learning loops, safer systems, and self-healing infrastructure.
  • Deliver trusted AI-Ready data that drives business and operational outcomes: You will solve complex data quality and integration challenges to ensure analytics and automation operate on trusted signals. Your work directly influences security posture, configuration compliance, operational efficiency, and executive decision-making across Microsoft.
  • Instrument the enterprise for deep observabiity: You will design and evolve telemetry ingestion and analytics that observe devices, services, and infrastructure globally-surfacing configuration risks, security signals, and operational anomalies across all IT services.
  • Modernize the data and engineering toolchain: You will continuously evolve the platform ecosystem-introducing modern data technologies, improving developer experience, and reducing friction across build, deploy, and operate workflows to improve reliability and mean time to recovery.

Requirements

#SWEJOBS

#SEJOBS

#SWE

#SE

#SRE

#INFRASTRUCTURE

#AI

#AGENTIC, * 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.

What You Bring:

  • 4+ years operating and improving large-scale online services -you've lived through incidents, scaling challenges, and the hard lessons that come with production ownership
  • 2+ years of Data Engineering platform development -you know how to model data, develop real-time and batch pipelines and build resilient, scalable analytical services.
  • 2+ years of hands-on coding in JavaScript, Python, PiSpark, SQL/kQL, PowerShell, or C#-you write real code, not just workflow drag-and-drop
  • SDLC fluency: You've delivered features from ambiguous requirements through to production, and you know how to manage that process without drowning in ceremony
  • Strong communication and collaboration skills: You work effectively across teams, translate technical complexity for non-technical stakeholders, and don't disappear into a silo
  • Comfort with ambiguity and pace: You operate independently in fast-moving environments and don't need someone to tell you what to do next, * 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

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.

About the company

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.

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