Base Salary
$120k - $261k/yr
Responsibilities
- Design, build, and operate scalable full-stack applications and data services for AI-enabled commercial scenarios.
- Develop secure APIs, user experiences, data pipelines, and distributed services.
- Partner with product managers, data scientists, and engineering teams to translate business needs into reliable technical solutions.
- Apply engineering practices across architecture, coding, testing, deployment, observability, performance, privacy, and security.
- Use AI-assisted engineering tools and automation to improve productivity, quality, and delivery speed.
- Troubleshoot production issues, strengthen service reliability, and contribute to operational excellence.
- Provide technical leadership through architecture reviews, design reviews, code reviews, mentoring, and continuous improvement.
Requirements
- Bachelor’s degree in computer science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Experience designing, building, testing, and operating production software or data systems.
- Experience with data structures, algorithms, distributed systems, APIs, and cloud services.
- Experience building full-stack applications and large-scale data pipelines on Azure or a comparable cloud platform.
- Experience with relational and non-relational data stores, data modeling, batch and streaming processing, and service integration.
- Experience applying AI or agentic capabilities in production solutions and using AI-assisted development tools.
- Ability to collaborate across disciplines, communicate technical trade-offs, mentor engineers, and deliver secure and reliable services.
- Experience providing technical leadership through architecture and design reviews, engineering standards, mentoring, and influence without direct authority.
- Strong written and verbal communication skills for explaining complex technical concepts, trade-offs, risks, and recommendations.
- Ability to operate in ambiguous, fast-moving environments and drive work toward measurable outcomes.
- Collaboration and stakeholder-management skills across product, data science, engineering, privacy, security, and partner teams.
Benefits
- The role may be eligible for benefits and other compensation.
- The typical U.S. base pay range is $119,800–$234,700 per year, with a separate $160,200–$261,000 per year range for the San Francisco Bay Area and New York City metropolitan area.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of 5 days.
Tech Stack
Categories
About Microsoft
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.