Senior Software Engineer
Content + Source + Freshness • 15 Dec 2025 • 95% confidence
Offer value
Similar to a previous role, focusing on data solutions in Microsoft 365, with flexibility and growth opportunities.
- Participate in influential data initiatives
- Flexible work environment (hybrid model)
- Opportunity to shape data decision-making in the organization
Pros
- Flexibility with a hybrid working model.
- Involvement in key initiatives for data culture.
- Chance to grow in a supportive, innovative team.
Cons
- May require adaptation to a fast-paced environment.
- Expectations for leadership can be demanding.
- Requires a solid programming background for high complexity tasks.
Who it's for
Mid / Senior • Hybrid (3 days in-office)
Good fit
- Software engineers with a strong interest in data
- Candidates looking to lead data-focused projects
- Individuals eager to collaborate within innovative teams
Not recommended for
- Beginner engineers not ready for team leadership
- Job seekers wanting strictly remote roles
- Candidates who prefer limited collaboration
Motivation fit
Key skills
About the job
Senior Software Engineer
Redmond, Washington, United States
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Overview
We are looking for a Senior Software Engineer who can lead the design and implementation of scalable data solutions, mentor other engineers, and collaborate across teams to deliver strategic insights. This role is ideal for experienced engineers who are ready to take on technical leadership and influence the direction of our data platform.
This position is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home. Relocation assistance is available.
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.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in C#, Java or C++
- OR equivalent experience.
- 4+ years experience with large-scale data systems.
- Proficiency scripting in Python, PowerShell, or JavaScript.
- Experience serving as a technical project lead.
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.
- Experience with cloud platforms (e.g., Azure, AWS) and big data technologies.
- Familiarity with distributed systems, data modeling, and performance optimization.
- Track record of driving cross-team collaboration and delivering impactful solutions.
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.
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
Microsoft will accept applications for the role until November 13, 2025.
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Responsibilities
- Lead the design, development, and deployment of complex data pipelines and services.
- Write high-quality, maintainable, and well-tested code in languages such as C#, Java, or C++.
- Use scripting languages (e.g., Python, PowerShell) to automate data workflows and operational tasks.
- Collaborate with cross-functional teams to define technical requirements and drive architectural decisions.
- Mentor peer engineers and contribute to team growth and best practices.
- Apply deep technical expertise to solve challenging data engineering problems at scale.
