Senior Security Engineer, Foundry

• Foundry is actively seeking talented candidates at the Senior to Principal level, with leveling determined based on experience and demonstrated expertise
• We welcome individuals who bring deep technical knowledge, strategic thinking, and a track record of impact, and we tailor roles to align with each candidate’s unique strengths and career trajectory
• At Foundry, we demand precision, clear communication, and relentless innovation in how we approach security and scalability
• If you’re passionate about pushing boundaries and securing the future of AI, join us and be a part of something transformative
• 5+ years of experience in software or security engineering, with a focus on application and infrastructure security
• Knowledge of modern adversary tactics, techniques, and procedures
• Familiarity with security testing tools and methodologies (e.g., static code analysis, penetration testing)
• Expertise in Python and TypeScript, with experience securing production-level code
• Experience in cloud security, particularly with major cloud providers (AWS, Azure, GCP)
• Experience with zero-trust architectures, encryption protocols, and secure communication methods
• Knowledge of infrastructure as code tools like Terraform, focusing on secure configuration and compliance
• A passion for protecting AI and machine learning workloads, understanding the unique security requirements of GPU infrastructure.
• Exceptional problem-solving skills and the ability to anticipate vulnerabilities and build scalable, secure solutions

Desirable

• As an engineer at Foundry, you’ll be at the forefront of building the infrastructure that powers the future of AI
• Your role is critical—not just in scaling our systems, but in ensuring they are secure at every level
• In an era where AI workloads are becoming larger and more sensitive, security isn't just a priority, it's the foundation of everything we build
• Our platform supports cutting-edge AI workloads, managing vast amounts of data and operating in high-performance, multi-tenant environments
• Security is integrated into every layer—from safeguarding GPU clusters to protecting data in real-time
• We expect every engineer to be a security-first thinker, designing and implementing solutions that protect both our infrastructure and the AI workloads running on it
• If you're motivated by the challenge of securing the core infrastructure behind AI and thrive in a fast-paced, high-impact environment, Foundry is the place for you
• Here, autonomy and ownership are paramount
• You'll have the freedom to make significant decisions, backed by a collaborative and inclusive team
• Our flat structure ensures your ideas don’t get lost in hierarchy—every engineer shapes both the product and the company's direction
• As the first full time Security Engineer at Foundry, you’ll lead the development of our security infrastructure from the ground up
• Your work will be essential to safeguarding our AI cloud platform, ensuring that customer data, AI models, and high-performance workloads are secure at every stage
• This role is about more than just securing servers–you will be at the forefront of protecting an entirely new form of AI infrastructure, working with advanced hardware (GPUs) and distributed cloud systems
• Build and implement security strategies for AI workloads, including the secure handling of sensitive data and model artifacts
• Lead efforts to secure our distributed cloud infrastructure, focusing on containerized environments (Kubernetes), cloud-native security, and scaling across multiple regions
• Design and integrate security measures directly into our orchestration platform to protect customer workloads and ensure secure multi-tenant environments
• Implement zero-trust security architectures to protect data flows between distributed AI compute resources
• Secure cloud-based and on-premise GPU servers, ensuring compliance and data protection across regions and regulatory environments
• Lead penetration testing, threat modeling, and red team exercises to anticipate and defend against advanced persistent threats
• Identify and mitigate vulnerabilities in code (Python, TypeScript) and infrastructure, focusing on infrastructure as code (Terraform) and cloud services
• Establish security guidelines and best practices for AI-specific workloads, including data encryption, secure model storage, and access control for training and inference pipelines