Lead Security Engineer at Anyscale

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Machine Learning, Distributed ComputingIndustries

Requirements

Strong experience with product security and building secure applications for enterprise environments
Excellent communication skills and ability to effectively share security knowledge with engineering teams through writing and speaking
Deep hands-on experience with cloud infrastructure security (AWS, GCP, and/or Azure)
Software development background with the ability to both build and assess secure systems
Experience managing corporate security programs (device management, SaaS security, access controls)
Led or contributed to compliance certifications (SOC 2, HIPAA, ISO 27001, FedRAMP, etc.)

Responsibilities

Partner with product and engineering teams to architect secure products, providing security guidance, requirements, and guardrails throughout the development process
Own product and infrastructure security, including secure architecture design, cloud provider configuration, threat modeling, and incident response planning
Work closely with engineering teams to integrate security into the development lifecycle and provide the context needed to avoid introducing security risks
Oversee corporate security fundamentals, including endpoint protection, access management, and tool security
Support compliance certification efforts from a security and risk perspective (e.g., SOC 2, HIPAA, ISO 27001)

Skills

Security Architecture

Threat Modeling

Incident Response

Cloud Security

Access Management

Endpoint Protection

Secure Development Lifecycle

Anyscale

Platform for scaling AI workloads

About Anyscale

Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$252.5MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement

Risks

ShadowRay vulnerability in Ray framework poses significant security risk with no patch.

OctoML's OctoAI service increases competition in AI infrastructure market.

Dependency on Nvidia's technology could be risky if Nvidia faces issues.

Differentiation

Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.

Ray is widely used in Generative AI, LLMs, and computer vision fields.

Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.

Upsides

Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.

Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.

Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.

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