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Open nowPosted today

DevOps Engineer

eoja.fa.ap1.oraclecloud.com/CX9 open roles

Where
Carlsbad, California, United States
Work mode
On site
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Your applicationOpen nowDevOps Engineereoja.fa.ap1.oraclecloud.com/CX · Carlsbad, California, United States

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. eoja.fa.ap1.oraclecloud.com/CX postings stay open a median of 6 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted today

eoja.fa.ap1.oraclecloud.com/CX median: 6 days open

The posting

Job Description

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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