Found.dev
Role Highlights
Languages used
Python
GO
Rust
C++
Key skills
Computer Science
CICD
Code Reviews
Cloud Infrastructure
Security Engineer
Cloud Environments
Cloud Security
Threat Modeling
AI
Research
Architecture
IAM
IAC
Modelling
Devops
Automation
Startup
Physics
Biology
Interpretability
Multimodal
Tools, Libraries and Frameworks
Kubernetes
GitOps
HTTP
Description
The role involves building security infrastructure for large-scale AI clusters and implementing cloud security architecture. Responsibilities include designing secure development workflows and CI/CD pipelines while managing cloud infrastructure. The position requires operating high-reliability services using Infrastructure-as-Code and GitOps practices. The individual will apply threat modeling and risk assessment to secure multi-cloud environments. Additionally, the role involves mentoring engineers and contributing to the growth of the security team.
Required Qualifications and Skills
Candidates must possess 5 to 15 years of software engineering experience in maintaining critical systems at scale. A bachelor's degree in Computer Science, Software Engineering, or an equivalent combination of education and experience is required. Proficiency in Python or a systems language such as Go, Rust, or C++ is necessary. Applicants should demonstrate expertise in DevOps, cloud automation, and leading cross-functional security initiatives.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Anthropic
Description
Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.
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