2 days ago
Base Salary
$120k - $261k/yr
Responsibilities
- Build realistic enterprise environments across Azure, AWS, GCP, on-premises infrastructure, and third-party services.
- Connect applications, networks, identities, services, realistic user activity, and security telemetry.
- Create reusable infrastructure, images, and self-service automation for provisioning, validation, resetting, and retiring complete environments.
- Deliver interfaces for agent actions, observations, and evidence collection for AI training and evaluation.
- Support concurrent experiments with isolation, synthetic data, health checks, recovery, and cost controls.
- Own platform capabilities from technical design through deployment and operational support.
- Partner with security researchers and AI engineers, resolve cross-stack challenges, and mentor engineers.
Requirements
- Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or a related field; or a master's degree in one of these fields plus 3+ years of relevant experience; or a bachelor's degree in one of these fields plus 4+ years of relevant experience; equivalent experience is accepted.
- Ability to pass Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- At least 3 years of experience developing software, infrastructure automation, or cloud platforms.
- Experience shipping and maintaining software or automation in Python, Go, C#, or TypeScript with version control, automated tests, and code review.
- Experience deploying applications and configuring networks, identities, and storage in Azure, AWS, or GCP, and connecting services across a second cloud or on-premises environment.
- Experience building infrastructure-as-code modules and CI/CD deployment pipelines using Terraform, Bicep, CloudFormation, or equivalent tools.
- Experience diagnosing Windows or Linux application failures involving DNS, routing, authentication, or service dependencies using logs, metrics, and system tools.
- Experience owning platform capabilities through technical design, deployment, operational support, documentation, and production issue resolution.
- Experience configuring identity federation, certificate-based authentication, or workload identities using Active Directory, Entra ID, Okta, or another enterprise identity provider.
- Experience building security labs or environment-as-a-service platforms with automated image creation, provisioning, baseline reset, and teardown.
- Experience deploying Kubernetes workloads with network policies, service identities, and centralized logging.
- Experience automating synthetic user or administrator activity and collecting identity, endpoint, or application telemetry for security testing.
- Experience integrating versioned environments into reinforcement-learning training or agent-evaluation pipelines, including configuration-drift and leftover-state checks.
- Experience designing and building capture-the-flag challenges or competitions.
- Preferred qualifications include a doctorate with 3+ years, a master's degree with 6+ years, or a bachelor's degree with 8+ years of relevant experience.
Benefits
- The position may be eligible for benefits and other compensation.
- The role requires passing the Microsoft background and Microsoft Cloud background checks upon hire or transfer and every two years thereafter.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of 5 days.
Tech Stack
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.