2 days ago
Base Salary
$120k - $261k/yr
Responsibilities
- Design and build AI-infused security software, cloud services, intelligent applications, agents, developer tooling, integrations, and distributed systems with customers.
- Embed with customer engineering and security teams to translate ambiguous needs, architectures, threat models, data, and operational constraints into executable engineering plans.
- Deliver production-quality software from prototype and architecture through implementation, testing, deployment, observability, troubleshooting, documentation, and operational handoff.
- Build agentic systems that safely access enterprise data and tools using human review, identity, authorization, data boundaries, isolation, auditability, and guardrails.
- Apply secure-by-design and privacy-by-design practices, including threat modeling, least privilege, secrets and identity management, data protection, dependency and vulnerability management, and secure operations.
- Lead significant technical workstreams, make architecture decisions, manage dependencies and risks, and communicate with technical and senior stakeholders.
- Convert engagement insights into reusable components, accelerators, reference implementations, engineering patterns, paved paths, and product improvements.
Requirements
- Bachelor’s degree in computer science or a related technical field and 4+ years of technical engineering experience, or equivalent experience.
- Experience designing, building, testing, deploying, debugging, and operating substantial production software or cloud services.
- Strong fundamentals in data structures, algorithms, APIs, distributed systems, cloud architecture, testing, reliability, and maintainable design.
- Experience translating ambiguous customer or stakeholder needs into architecture, engineering plans, working software, and measurable outcomes.
- Practical knowledge of secure software engineering, authentication and authorization, identity, secrets management, threat modeling, data protection, secure dependencies, vulnerability remediation, and monitoring.
- Ability to explain technical concepts, architecture decisions, trade-offs, and delivery risks to technical and nontechnical audiences.
- Preferred qualifications include a master’s degree and 6+ years of experience, or a bachelor’s degree and 8+ years of experience, or equivalent experience.
- Preferred experience includes building AI- or LLM-based applications, agents, developer systems, cybersecurity products, cloud-native distributed systems, infrastructure, observability, reliability engineering, and live-site operations.
- Preferred experience includes agentic systems involving enterprise data, APIs, tools, or workflows; AI-assisted development; AI security; responsible AI; and safe tool execution.
- Ability to work hands-on in multidisciplinary teams with senior customer engineering and security leaders and willingness to travel up to 25%.
Benefits
- Microsoft engineering depth, product portfolio, and global customer reach combined with startup-like urgency, ownership, and experimentation.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
- Travel of up to 25% may be required.
Tech Stack
Categories
Forward Deployed
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.