$209,100 – $234,100
Listed on Protegrity’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves building backend systems that integrate generative AI safely into enterprise products, using Python, Kubernetes, and vector databases. It suits experienced backend engineers who want to work at the intersection of AI systems and data security infrastructure.
Our summary, not Protegrity’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- CI/CD
- Google Cloud
- Helm
- JSON Web Token (JWT)
- Kubernetes
- LLMs (Large Language Models)
- Microsoft Azure
- OAuth
- Python
- REST APIs
- Retrieval-Augmented Generation (RAG)
- Single Sign-On (SSO)
- Vector Databases
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What they ask for
Required
- 7+ years backend software engineering experience
- Experience productionizing agentic systems
- Built and shipped Kubernetes-based customer-facing platforms
- REST API development in Kubernetes
- Version control and DevOps practices
- LLM integration and prompt tracing platform experience
- Vector database integration into backend systems
- Authentication and authorization integration (cloud IAM, SSO, JWT, OAuth)
- Strong cloud environment experience (AWS, Google Cloud, Azure)