Senior Software Engineer
About The Position
As a Senior Software Engineer, you will design, build, and operate software that helps teams launch and manage products across Microsoft. You will work closely with partner engineers, product managers, and stakeholders to deliver reliable, secure, and scalable services, translating customer and business needs into high-quality engineering solutions. In this role, you will drive engineering excellence through design skills, clean implementation, and a focus on operational quality. You will contribute to architecture and technical direction, review code and designs, and use AI-assisted development tools (e.g., GitHub Copilot, agentic coding workflows, GenAI-based code review and test generation) in a disciplined, production-grade way — taking full responsibility for the quality and safety of AI-generated artifacts and applying Responsible AI practices. You will improve developer velocity through automation, tooling, and AI-powered workflows, use telemetry to troubleshoot issues and continuously improve performance, reliability, and cost, and — where applicable — help integrate AI capabilities such as LLMs, agents, and model-backed features into production systems. You will also mentor others and help raise the team's engineering bar through collaboration, experimentation with new AI practices, and a growth mindset. 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.
Requirements
- 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.
- Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, agentic coding workflows, GenAI-based code review and test generation) in a disciplined, production-grade way.
- Experience integrating AI capabilities (LLMs, agents, model-backed features) into production systems, including familiarity with Responsible AI principles and applying AI safety controls in production.
- Experience owning a feature area end-to-end, from design through deployment, monitoring, and on-call ownership.
- Experience designing and operating large-scale distributed systems in a cloud environment (e.g., Azure), including API and data model design, performance tuning, and cost optimization.
- Engineering fundamentals - data structures and algorithms, object-oriented and systems design, and building resilient services (reliability, availability, scalability).
- Experience with DevOps practices and tooling (CI/CD, infrastructure as code, monitoring and alerting, incident response) and a track record of driving toward zero-touch deployment.
- Experience designing and running experiments in production (A/B testing, feature flagging, controlled rollouts) and using results to drive product and engineering decisions.
- Experience building observable systems: designing telemetry, metrics, and dashboards that drive reliability, performance, and customer-impact decisions.
- Experience building secure software, including secure coding practices, threat modeling, premortems, and privacy/compliance considerations.
- Experience building accessible software and applying accessibility standards (e.g., WCAG) and privacy/compliance frameworks in production systems.
- Demonstrated technical leadership through design reviews, mentoring, and driving improvements to code quality and engineering processes.
- Experience collaborating in cross-functional teams and communicating technical concepts clearly to engineering, product, and executive audiences.
Nice To Haves
- 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.
Responsibilities
- Own the end-to-end engineering lifecycle for key components and services — designing, coding, testing, deploying, and operating solutions that are secure, reliable, accessible, and maintainable.
- Work independently within your project area, own architecture with minimal technical oversight, and use AI tools fluently across the development lifecycle to multiply your team's output.
- Use AI tools across the full SDLC in a disciplined way. Own the quality of AI-generated requirements, designs, and code - yours and your teammates' - and apply Responsible AI practices.
- Lead design discussions for your project area, evaluate tradeoffs, and own architectural decisions with minimal oversight.
- Partner with PM, and engineering to define requirements; ensure feedback loops on customer value and usage are in place.
- Write extensible, secure, performant code. Apply modern patterns including GenAI-assisted development. Drive code reviews and best practices at the product level.
- Own the test strategy for your area. Improve the test suite and use AI tools for test automation.
- Identify cross-team dependencies, manage upstream/downstream impact, and resolve conflicts across teams.
- Drive your workgroup's project and release plans. Break work into a roadmap and coach others on estimation.
- Design and run experiments; interpret results to guide ship decisions.
- Drive deployment automation toward zero-touch; strengthen CI/CD.
- Participate in on-call rotation. Use telemetry to diagnose, mitigate, and lead retrospectives. Drive metrics that improve reliability and customer impact.
- Apply security-as-code, threat modeling, and breach-drill practices. Ensure AI safety controls for production AI features. Meet privacy and accessibility standards.
- Lead by example. Mentor engineers, raise the team's bar, and foster an inclusive culture.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
