Job Description

Hybrid requirements: This role has flexible working patterns.
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.

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 across our services and cloud infrastructure, with expertise in AWS/GCP security services, Kubernetes security, and container orchestration
Mentor engineers and contribute to hiring and growth of the Security team
You may be a good fit if you have:
7+ years of software engineering experience implementing and maintaining critical systems at scale
Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
Ability to write maintainable and secure code in Python
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

Strong candidates may also:

Have experience supporting fast-paced startup engineering teams
Be passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values
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Role tech stack
AWS


Google Cloud Platform


Kubernetes


Python