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Эта роль в Anthropic предлагает высокую зарплату и четкий фокус на безопасности ИИ, что делает ее отличной возможностью для опытных инженеров, увлеченных безопасностью ИИ.
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Высокая зарплатаЧеткие обязанностиСтартап-средаФокус на ИИ
Responsibilities: • Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls;
• Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management;
• Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows;
• Apply deep expertise in threat modeling and risk assessment to secure complex multi cloud environments;
• Mentor engineers and contribute to hiring and growth of the Security team.
Requirements: • 5-15+ years of software engineering experience implementing and maintaining critical systems at scale;
• Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience;
• Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++);
• Experience managing infrastructure at scale with DevOps and cloud automation best practices;
• Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship;
• Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics;
• Outstanding communication skills, translating technical concepts effectively across all organizational levels;
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems;
• Strong systems thinking with ability to identify and mitigate risks in complex environments;
• Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams;
• Experience supporting fast-paced startup engineering teams;
• Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values.
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