Senior Microsoft Software Engineer - Remote

About this role

Category: Technology

Location: Dallas Texas United States

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.

The personin this seat is a senior individual contributor who combines sound technicaljudgment with hands-on engineering. This engineer will participate inarchitectural 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, andmaintaining production software for AidenBot using C# and .NET, with a focus onreliability, security, performance, and maintainability.

Technical design and architecturecontributions, including evaluating tradeoffs, defining interfaces andpatterns, documenting decisions, and helping the platform evolve withoutcreating unnecessary complexity.

End-to-end delivery of meaningfulproduct capabilities, from refinement and estimation through implementation,code review, automated testing, deployment support, and post-release learning.

Diagnosis and resolution of complexdefects 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 andmentorship that raises the effectiveness of the engineering team, includingsharing context, reviewing designs, pairing on difficult problems, and helpingother engineers make sound implementation decisions.

Practical use of AI-assistedengineering and agentic workflows to improve speed and leverage whileprotecting code quality, security, governance, and release reliability.

Required Qualifications:

·Minimum of 8-10+ years of professional software development experience, including substantialhands-on experience building and supporting production applications in C# and.NET.

Strong understanding of softwarearchitecture, object-oriented design, APIs, asynchronous processing, dataaccess, integration patterns, and maintainable application design.

Demonstrated ability to take complexfeatures from ambiguous requirements through technical design, implementation,testing, release, and production support.

Experience diagnosing difficultsoftware problems using logs, metrics, traces, debuggers, profilers, andsystematic root-cause analysis.

A strong quality mindset, includingexperience with unit, integration, and automated testing; code review; sourcecontrol; CI/CD; and reliable release practices.

Working knowledge of relationaldatabases and SQL, including data modeling, query performance, andapplication-level data access.

Strong written and verbalcommunication skills, including the ability to explain technical decisions,risks, and tradeoffs to both engineering and non-engineering stakeholders.

Experience working in Agile / Scrumteams 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.

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, IToperations software, or automation platforms.

Experience with Windows internals,PowerShell, Microsoft cloud technologies, endpoint administration, or softwarethat 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-assisteddevelopment tools, agentic workflows, or AI-enabled testing in a disciplinedproduction 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 easierto understand, test, extend, troubleshoot, and operate as the product andcustomer base grow.

Architectural decisions arepragmatic, well communicated, and aligned with both near-term delivery needsand the platform’s long-term direction.

Complex defects and production issuesare resolved methodically, with root causes addressed and lessons translatedinto better code, tests, telemetry, and engineering practices.

Engineering teammates benefit fromthoughtful design collaboration, constructive code review, clear documentation,and practical technical mentorship.

AI is used thoughtfully as a forcemultiplier for engineering speed and quality without weakening security,maintainability, or accountability.

DetailsOriginally posted on Himalayas