Company Overview:
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.
Key Responsibilities and Scope:
As a DevOps Engineer, you will be a critical part of our engineering team, responsible for safeguarding our AI/ML platforms, data pipelines, and cloud infrastructure
You will implement and develop monitoring strategies, and drive controls to protect our most valuable assets
Qualifications:
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
About You:
You are curious, tenacious, and proactive
You are not bothered by ambiguity but embrace finding patterns in complex environments
Excellent problem-solving skills and adaptability in a dynamic and evolving tech landscape
Excited to work in a company that deals with moving and transforming large volumes of data
Bonus if you have these attributes:
Experience with cloud providers like GCP and Azure
Prior startup experience
Security operations and automation experience
Top Skills
What We Do
The biggest unmet need in AI today is getting access to the right training data. Data holders often don’t know where to start and are rightly concerned about governance, intellectual property, and security implications. AI companies can spend years finding and negotiating access to the data they need.
Protege is solving these problems by providing an easy-to-use platform to connect data holders with vetted data users.
