Staff ML Engineer
Core
Architect and build large-scale, production-grade ML/LLM systems (model serving, RAG, GPU infrastructure) for the Gaia Emblem engine, the intelligence layer of Cohesity's data platform.
Role type
Staff ML Engineer (Level 5)
Builds
Gaia Emblem engine (LLM integration, RAG pipelines, GPU infrastructure, distributed backend services)
Domain
Enterprise data security, AI-powered data platforms
Deliverable
production ML models
Required skills
Python, Java, Go, JavaScript, LLMs, Prompt Engineering, RAG, Kubernetes, GPU Scheduling, Docker, Helm, Terraform, AWS, Distributed Systems, Microservices, gRPC, REST APIs, SQL, NoSQL, PostgreSQL, Redis, Elasticsearch, CI/CD, DevOps, Test Automation, Git, OOP
Preferred skills
Node.js, Jenkins, formal verification, enterprise data protection experience
Technologies
Kubernetes (vanilla K8s, OpenShift, EKS, GKE), Terraform, Helm, AWS, gRPC, REST, PostgreSQL, Redis, Elasticsearch, Docker
Responsibilities
Architect technical roadmap for Gaia Emblem including LLM and RAG integration; Design and operate scalable GPU-aware infrastructure on Kubernetes; Build resilient distributed systems and microservices; Own data engineering pipelines for ML workflows; Enforce engineering best practices (CI/CD, IaC); Lead design reviews and mentor engineers; Partner with Product and SRE teams; Drive debugging and performance optimization.
Seniority
Staff, hands-on IC with mentorship
