DevOps Engineer
Hansen
- Location
- Onsite (Carlsbad, CA)
- Employment
- Full-time
- Level
- Mid Level
Posted Today
About the role
Hansen Technologies is a global software provider serving the energy, utilities, and telecommunications industries. This role focuses on designing and managing CI/CD pipelines to support the deployment and scaling of autonomous agentic AI systems across hybrid cloud platforms.
Skills
DevOps
CI/CD
GitHub Actions
Docker
Kubernetes
Terraform
Infrastructure as Code
Dynatrace
LangChain
LangGraph
Vector Databases
OpenAI APIs
n8n
Cloud Infrastructure
MLOps
Security
Full job details
Location
Carlsbad, CA United States (Onsite)
Type
Full-time
Role Summary
The DevOps Engineer will own the deployment, scaling, and monitoring of GenAI systems across cloud-native and hybrid platforms. You'll collaborate with AI Engineers and infrastructure teams to ensure reliable and secure AI operations.
Key Responsibilities
- Design and manage CI/CD pipelines using GitHub
- Develop and maintain robust CI/CD pipelines tailored specifically for deploying autonomous agentic AI systems and related software components.
- Build and automate cloud infrastructure optimized for deploying, scaling, and managing autonomous AI agents.
- Implement comprehensive monitoring, logging, and alerting for agentic AI processes, ensuring reliability, performance, and continuous improvement.
- Collaborate closely with Agentic AI engineers and architects to streamline workflows for training, deploying, and updating agentic AI models.
- Manage infrastructure security, access control, and compliance related to sensitive AI data and automated agent operations.
- Containerize and deploy LLM apps on hybrid infrastructure (e.g., public cloud, on-prem)
- Configure observability platforms such as Dynatrace for observability and incident response
- Automate integration and event-driven workflows using n8n
- Secure AI pipelines, manage secrets, and enable role-based access controls
- Collaborate with QA for integration with test automation tools such as Functionize, Mabl, and Port
Requirements
- 4+ years in DevOps, MLOps, or infrastructure engineering
- Extensive experience with automation and infrastructure management supporting AI agent workloads.
- Expertise with containerization (Docker, Kubernetes), IaC (Terraform), and orchestration tools for agentic AI platforms.
- Familiarity with platforms and frameworks commonly used for autonomous AI agents (e.g., LangChain, LangGraph, Vector DBs, OpenAI APIs).
- Experience with GitHub Actions, container orchestration, MCP Servers, and hybrid cloud deployment
- Familiarity with Dynatrace for production monitoring
- Experience supporting LangChain, LangGraph, and vector databases (e.g., Qdrant)
- Strong security, scripting, and CI/CD automation background
- Detail-oriented and proactive approach to system reliability, scalability, and security.
- Strong collaboration skills to efficiently support agile development cycles for agentic AI products.