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DevOps Engineer – GenAI / Security

Keypixel Software SolutionsUnited States🇺🇸United StatesPosted 31 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
22 hours ago
AWSSplunkGenerative AIJenkinsLLMPythonTerraform

Job Description

DevOps Engineer – GenAI / Security

Introduction:

This position is for a DevOps Engineer specializing in Generative Artificial Intelligence (GenAI) and Security. The ideal candidate will have extensive experience in AWS, CI/CD, DevOps practices, and software security. They will be responsible for supporting an AI-powered security platform in a production environment.

Responsibilities:

  • Implement and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines using Jenkins and GitHub
  • Manage AWS services such as ECS and Fargate
  • Utilize Terraform for Infrastructure as Code (IaC)
  • Develop scripts and automation using Python on Linux platforms
  • Work with Amazon Bedrock and LLM APIs for GenAI applications
  • Monitor and analyze system performance using Splunk
  • Implement application security measures such as Static Application Security Testing (SAST) and Software Composition Analysis (SCA)
  • Provide production support and troubleshoot issues as they arise
  • Be available for 24/7 rotating shift availability for support

Requirements:

Required Skills:

  • 1+ year of experience with Generative AI/LLM
  • Experience with Jenkins and GitHub for CI/CD
  • Proficiency in AWS services, specifically ECS and Fargate
  • Strong knowledge of Terraform for Infrastructure as Code
  • Proficient in Python scripting on Linux platforms
  • Experience working with Amazon Bedrock and LLM APIs
  • Ability to monitor and analyze system performance using Splunk
  • Knowledge of application security practices such as SAST and SCA
  • Experience in providing production support and troubleshooting
  • Availability for 24/7 rotating shift schedule

Preferred Skills:

  • Experience with Software Security practices
  • Knowledge of Continuous Integration and Continuous Delivery practices
  • Experience with DevOps methodologies

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