DevOps Engineer

Protege

79d

About The Position

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

Requirements

• 4+ years of hands-on experience in a DevOps, Architecture, SecOps or Engineering role.
• Strong experience with major cloud platforms and building cloud-native services including containerization, threat detection, vulnerability, governance, compliance, etc. with AWS preferred.
• Proficient in scripting languages like Python, SQL, Typescript or similar.
• Strong experience with infra-as-code, monitoring, and reliability for pipelines; contributing to platform guardrails, governance, compliance, etc.
• Experience working with cross-functional partners to develop tools and playbooks for best-practices related to Operations.

Nice To Haves

• Experience with cloud providers like GCP and Azure.
• Prior startup experience.
• Security operations and automation experience.

Responsibilities

• Safeguard our AI/ML platforms, data pipelines, and cloud infrastructure.
• Implement and develop monitoring strategies.
• Drive controls to protect our most valuable assets.

What This Job Offers

• Career Level: Mid Level