header alt image test
Microloft Logo

Microloft

Senior Software Engineer

Posted 4 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
Design, build, and maintain scalable data solutions and pipelines. Develop and optimize data models, implement data validation and monitoring, analyze large datasets to extract insights, troubleshoot pipeline issues, ensure system security and scalability, and mentor engineers while collaborating with cross-functional teams.
The summary above was generated by AI
Overview
Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team. The ideal candidate will have a solid background in data engineering and data analytics, with a proven track record of designing and implementing scalable data solutions. As a Senior Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. 
 
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.
 
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities
  • Collaborate with cross functional teams to understand data requirements and deliver high quality data solutions. 
  • Develop and optimize data models to support data analytics. 
  • Utilize advanced analytics techniques to extract insights from large datasets and drive data driven decision making. 
  • Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. 
  • Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery 
  • Work with a security-first mindset, focusing on system scalability and maintainability. 
  • Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications

Required Qualifications:

  • 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.

Other Requirements:
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 Qualifications:

  • Master'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 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.
  • 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • Solid experience with data processing frameworks such as Apache Spark, Hadoop. 
  • Expertise in SQL and experience with RDBMS, Key Value stores. 
  • Familiarity with cloud platforms and data services. 
  • Excellent problem solving skills and the ability to work independently and as part of a team. 
  • Solid communication skills.
  • Familiarity with Azure. 
  • Experience with machine learning and data science tools and frameworks. 
  • Knowledge of data visualization tools (e.g., Tableau, Power BI). 
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

#MicrosoftAI 


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.
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.
 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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 $160,200 - $261,000 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.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Similar Jobs at Microloft

Yesterday
In-Office or Remote
United States
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Design and implement scalable microservices and systems that use deep learning, anomaly detection, and distributed data processing to autonomously analyze Azure platform telemetry, drive reliability, and enable self-recovery. Deliver well-tested features, collaborate across teams, and apply engineering best practices.
Top Skills: Anomaly DetectionAzureAzure Data FactoryCC#C++Deep LearningDistributed Data ProcessingJavaJavaScriptKustoMicroservicesPythonSparkSQL
4 Days Ago
In-Office or Remote
2 Locations
102K-261K Annually
Senior level
102K-261K Annually
Senior level
Automation
Develop and optimize AI compilers and code generation for new hardware, using LLVM/MLIR, Torch Dynamo, and Triton. Implement compiler features and optimizations in C++ and Python, improve AI workload performance, design programming abstractions, collaborate with hardware and ML teams, and plan and deliver engineering solutions.
Top Skills: CC++LlvmMaia-200MlirPythonTorch DynamoTriton
2 Hours Ago
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Build and operate a large-scale, AI-first evaluation platform for Microsoft Copilot. Design and deliver major platform components, enable agentic evaluation (multi-turn, tool selection, outcomes), ensure reliability across deep dependency chains, implement graceful degradation and observability, mentor engineers, act as DRI and participate on-call, and advance measurement and benchmarking for agentic systems.
Top Skills: .NetJavaJavaScriptPythonRust

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account