Senior Microsoft Software Engineer - Remote
Dallas, United States | Posted on 09/23/2026
Job Title: Senior Microsoft Software Engineer - Remote
About the Role
Build and evolve the client's software Bot, the core automationengine behind client's Windows endpoint management platform, while helping shapetechnical architecture and delivering secure, reliable software in C# and .NET. You will be working on the MicroSoft operating system code. N eed to have experience with Power BE, building images, and Intune
The person in this seat is a senior individual contributor who combines sound technical judgment with hands-on engineering. This engineer will participate in architectural decisions, translate product needs into maintainable solutions, and contribute directly to design, implementation, testing, troubleshooting, and release readiness.
What you will own:
- Designing, building, testing, and maintaining production software for AidenBot using C# and .NET, with a focus on reliability, security, performance, and maintainability.
- Technical design and architecture contributions, including evaluating trade-offs, defining interfaces and patterns, documenting decisions, and helping the platform evolve without creating unnecessary complexity.
- End-to-end delivery of meaningful product capabilities, from refinement and estimation through implementation, code review, automated testing, deployment support, and post-release learning.
- Diagnosis and resolution of complex defects and production issues across application code, services, integrations, data flows, and Windows endpoint environments.
- Engineering quality through clear, testable code; thoughtful reviews; appropriate automated test coverage; observability; secure development practices; and disciplined source control.
- Technical collaboration and mentorship that raises the effectiveness of the engineering team, including sharing context, reviewing designs, pairing on difficult problems, and helping other engineers make sound implementation decisions.
- Practical use of AI-assisted engineering and agentic workflows to improve speed and leverage while protecting code quality, security, governance, and release reliability.
- Strong understanding of software architecture, object-oriented design, APIs, asynchronous processing, data access, integration patterns, and maintainable application design.
- Previous Experience Architecting and Developing a Windows Based solution is a must
- Demonstrated ability to take complex features from ambiguous requirements through technical design, implementation, testing, release, and production support.
- Experience diagnosing difficult software problems using logs, metrics, traces, debuggers, profilers, and systematic root-cause analysis.
- A strong quality mindset, including experience with unit, integration, and automated testing; code review; source control; CI/CD; and reliable release practices.
- Working knowledge of relational databases and SQL, including data modeling, query performance, and application-level data access.
- Strong written and verbal communication skills, including the ability to explain technical decisions, risks, and tradeoffs to both engineering and non-engineering stakeholders.
- Experience working in Agile / Scrum teams and with Azure DevOps, GitHub, or similar planning, source control, build, and deployment systems.
- Comfort operating in a smaller, high-accountability growth company where senior engineers balance architecture, hands-on delivery, collaboration, and production ownership.
- Experience with Windows PE and Endpoint Manager is a Must
Preferred Background
- Experience with BIOS, partitioning, Windows Registry, drive partitioning, Windows PE, and other system-level architectures.
- Experience building enterprise SaaS, endpoint management, Windows-based systems, cybersecurity-related products, IT operations software, or automation platforms.
- Experience with Windows internals, PowerShell, Microsoft cloud technologies, endpoint administration, or software that executes work across distributed devices.
- Experience with cloud services,distributed systems, messaging, REST APIs, authentication and authorization, third-party integrations, or high-volume job orchestration.
- Experience using AI-assisted development tools, agentic workflows, or AI-enabled testing in a disciplined production engineering environment.
What Success Looks Like
- Developing the client's end point software platform including the Bot capabilities shippredictably and meet clear standards for correctness, security, performance, supportability, and rollback readiness.
- The AidenBot codebase becomes easier to understand, test, extend, troubleshooting, and operate as the product and customer base grow.
- Architectural decisions are pragmatic, well communicated, and aligned with both near-term delivery needs and the platform’s long-term direction.
- Complex defects and production issues are resolved methodically, with root causes addressed and lessons translated into better code, tests, telemetry, and engineering practices.
- Engineering teammates benefit from thoughtful design collaboration, constructive code review, clear documentation, and practical technical mentorship.
- AI is used thoughtfully as a force multiplier for engineering speed and quality without weakening security, maintainability, or accountability.
Requirements
Here is what I look for in a resume:
Neat and clean (well-crafted, indicates attention to detail).
Brief (two pages is ideal I will accept 3 pages for an excellent candidate). This indicates focus and an understand of what is important. A long resume with dozens of bullet points per job, indicates a candidate who is throwing everything at the wall hoping something will stick.
The resume should tell me most of what I need to know with a quick scan, with clear headings.
For AidenBot:
Experience with Windows system internals and Windows PE
The senior developers:
Some understanding of SQL
Excellent grasp of .NET / C# / design patterns
Some front end framework experience is a bonus
Good understanding of SDLC
Understanding of scale
An ability to answer why questions
Power BI Experience
- Data connecting: Link to data from Excel, SQL, and the cloud.
- Data cleaning: Fix and shape data using Power Query.
- Dashboards: Make clear charts, graphs, and reports.
- Sharing: Publish reports for team use.
Building Images Experience
- OS setup: Install Windows or other operating systems cleanly.
- Custom software: Add needed apps and security tools to the setup.
- Sysprep: Prepare the system image for general use.
- Deployment: Use tools like MDT or SCCM to push images to PCs.
- Device enrollment: Register new phones and computers safely.
- Policy setup: Set rules for passwords and screen locks.
- App management: Push and update software remotely.
- Compliance checks: Ensure devices meet safety standards.