Senior Cloud Security Engineer
Anyscale
Senior Cloud Security Engineer
Anyscale
Scales AI workloads with Ray platform
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
Anyscale's security needs are growing as we operate more production and cloud infrastructure for larger and more demanding customers. We're looking for a Senior Cloud Security Engineer to own the security of that infrastructure. This is a hands-on, high-ownership role: you will own how our production and cloud environments are hardened, isolated, and monitored.
You will set and drive the direction for infrastructure and production security, reporting to the Head of Security and partnering closely with the wider engineering organization. This role is based in the San Francisco, Bay Area.
In your first year, success looks like hardened and well-segmented production environments, strong runtime security coverage across our container footprint, and a clear, defensible story for how we secure the infrastructure our customers rely on.
Own the security posture of Anyscale's production and cloud infrastructure across AWS and Azure, including hardening, network segmentation, and tenant isolation.
Own runtime security coverage across our Kubernetes environments, from deployment through detection of anomalous activity.
Partner with engineering on secure infrastructure architecture and the secure design of our production environments.
Own cloud security posture management end to end: triage, prioritization, and driving remediation with the teams that own the resources.
Define and drive cloud infrastructure security standards: baseline configurations, infrastructure-as-code security, and key and secrets management.
Drive fine-grained, role-based access to production, in partnership with engineering and IT.
Feed infrastructure findings into vulnerability management and risk reporting.
8+ years in security engineering, with a deep focus on cloud and infrastructure security, ideally at a high-growth startup.
Hands-on expertise securing multi-cloud environments (AWS and Azure) and container platforms (Kubernetes).
Strong grounding in infrastructure-as-code, cloud networking, and identity and access in cloud environments.
Experience with CSPM and runtime security tooling, and the judgment to turn findings into prioritized, actioned work.
The ability to own cloud infrastructure security independently, set its direction, and make sound tradeoffs across teams.
Fluency working directly with engineers on architecture and remediation, not just producing findings.
Experience securing multi-tenant production systems or environments that run customer workloads.
Familiarity with Upwind or similar CSPM and runtime platforms.
Experience contributing to SOC 2 or ISO 27001 evidence from the infrastructure side.
Background in AI or ML platforms or distributed systems.
We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms
Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise
We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date
Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments
Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
We offer flexible time off, paid parental leave, and mental health support
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish
Anyscale helps enterprises run AI workloads at scale by providing a software platform built around the Ray open-source framework. The core product enables users to deploy, manage, and optimize distributed AI tasks—from training to inference—across large clusters, with features that handle scaling, fault tolerance, and resource management. The platform is delivered as a software-as-a-service, so customers pay a subscription to access tools for running Generative AI, large language models, computer vision, and other ML workloads efficiently and reliably. Unlike others who focus on individual components, Anyscale combines Ray’s distributed execution with enterprise-ready management, monitoring, and optimization to productionize AI applications. The company’s goal is to help organizations deploy AI workloads faster, at scale, with predictable performance and cost efficiency.
Explore more opportunities at Anyscale