13 hours ago
Base Salary
$143k - $304k/yr
Responsibilities
- Lead architecture and implementation of shared AI safety platform capabilities, reusable engineering patterns, and critical production code.
- Build AI observability and monitoring systems supporting attack reconstruction, automated detection, evaluation, threat hunting, and investigation.
- Design detection infrastructure for attack signatures, behavioral anomalies, model-assisted analysis, and emerging AI security techniques.
- Develop and operate large-scale distributed data-processing systems, integrations, and correlation pipelines that produce investigation-ready evidence and threat intelligence.
- Lead technical partner discussions and security and privacy architecture reviews through integration and implementation.
- Review designs and code, mentor engineers and scientists, and raise technical standards across teams.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 6+ years of technical engineering experience, or equivalent experience.
- Significant ownership of distributed data, platform, or security products with coding in C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred: 2+ years working with modern AI systems such as copilots, agent-based products, LLM applications, embeddings, vector databases, retrieval-augmented generation, or evaluations.
- Preferred: 2+ years of big data engineering experience with Spark, Kusto, data lakes, batch and streaming pipelines, data quality, performance tuning, and cost and reliability trade-offs.
- Experience designing complex production systems, addressing security and privacy risks, and owning platforms, data, security, or AI products end to end.
- Experience with alerting, triage, investigation, threat hunting, incident response, threat modeling, secure-by-design practices, and security and privacy architecture reviews.
- Experience with cloud-native distributed platforms, infrastructure as code, CI/CD, Azure Data Factory, Databricks, Kubernetes, or equivalent systems.
- Demonstrated technical leadership, coding, system design, written communication, mentoring, and influence across teams without direct authority.
Benefits
- The typical U.S. base pay range is USD $142,800–$274,800 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of USD $188,000–$304,200 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
- The role requires passing the Microsoft background and Microsoft Cloud background checks upon hire or transfer and every two years thereafter.
Tech Stack
Categories
Data EngineeringSecurity
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.