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DevOps Engineer

Hansen Technologies
Carlsbad, USA
Full-time
Mid · 4+ years experience
Onsite
Discovered 3 days ago
dockerdynatracegithub-actionskuberneteslangchainopenai

Full Job Posting

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.

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