Microsoft Logo

Microsoft

Senior Software Engineer

Reposted 8 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
120K-261K Annually
Senior level
In-Office
New York, NY, USA
120K-261K Annually
Senior level
Design, build, and maintain scalable data solutions and pipelines; optimize data models; implement validation and monitoring for data quality; extract insights via advanced analytics; troubleshoot pipelines; prioritize security, scalability, and maintainability; mentor peers and promote engineering best practices.
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

6 Hours Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.
Top Skills: C++Computational GeometryLarge Language ModelsLinear AlgebraMachine LearningNumpyPandasPythonPyTorchRosScipySQLStatistical ModelingTime-Series AnalysisVision-Language Models
Yesterday
In-Office
180K-225K Annually
Senior level
180K-225K Annually
Senior level
eCommerce • Fintech • Payments • Software • Financial Services
Build and own backend product features for Remitly Business, including services, APIs, data models, and durable money-movement workflows. Develop scalable Go systems using Temporal, ensuring idempotency, observability, ledger accuracy, reconciliation, security, and compliance. Partner with Product, Design, Analytics, Compliance, Infrastructure, and Operations to deliver features end to end. Contribute to roadmaps, technical reviews, AI-assisted development, architecture decisions, interviews, and team growth.
Top Skills: AWSC#CadenceClaude CodeCodexGoJavaKotlinReactStep FunctionsTemporalTypescript
4 Days Ago
In-Office
2 Locations
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.
Top Skills: BashCC++Container RuntimesGoGpu DriversGvisorKata ContainersKubernetesKubevirtLinuxQemuRustVirtualization

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account