DevOps Engineer – Generative AI & Enterprise Web Platforms
Core
Build, automate, and operate secure, reliable delivery platforms for enterprise applications powered by Generative AI, large language models, APIs, and distributed systems.
Role type
Senior hands-on DevOps Engineer (Generative AI & Enterprise Web Platforms)
Builds
Secure, reliable delivery platforms for enterprise applications powered by Generative AI and large language models
Domain
Enterprise software, Generative AI, Cloud infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
CI/CD pipeline engineering, container orchestration (Kubernetes, k3s), AWS infrastructure automation, observability (metrics, logs, traces), Python scripting, API validation, GenAI platform operations, infrastructure as code, security practices
Preferred skills
Networking protocols (BGP, MPLS, VXLAN), chaos testing, agent evaluation, prompt regression, threat modelling
Technologies
Docker, Kubernetes, k3s, AWS, Python, pytest, LangSmith, LangGraph, Langfuse, MCP, Datadog, JMeter, Postman, GitOps
Responsibilities
Design and maintain automated build, test, and deployment pipelines; Operate Docker-based workloads and Kubernetes clusters; Provision and manage secure AWS infrastructure; Implement observability tools and support incident response; Build reusable Python utilities for validation; Support GenAI platform operations including tracing and safety controls; Mentor less-experienced engineers
Seniority
Senior, hands-on IC