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Devops Engineer with AI(Artificial intelligence)

Government Systems Technologies Inc. (GSTi)Plano, TX🇺🇸United StatesPosted 10 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Devops Engineer with AI (Artificial Intelligence) Location: Plano,TX Contract

Primary Skills: DevOps, CI/CD, CICD Tools-Jenkins , AI
Job Description :
  • DevOps Software Engineer III AI & Automation - Intermediate (5+ Years)
  • Skills: * Formal training or certification in software engineering with 3+ years applied experience
  • Experience in DevOps with CI/CD tools (Jenkins, Bitbucket, Terraform) and application resiliency & securityProficiency in Python and Shell scripting
  • Experience with system administration and automated provisioning
  • Hands-on experience with logging, monitoring, and observability tools (Splunk, Dynatrace, Grafana)Production support and incident management experience
  • Solid understanding of agile methodologies, CI/CD practices, and security principles
  • Experience with AI/ML frameworks (LangChain, AutoGen, CrewAI, or similar agentic frameworks)
  • Familiarity with LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineering
  • Demonstrated ability to build AI-powered automation workflows or intelligent bots
  • Understanding of when and how to apply AI solutions to operational challenges
Preferred Qualifications, Capabilities, and Skills
  • macOS administration and MDM platforms (Jamf, Kandji, Mosyle)
  • Experience building automation bots or intelligent workflowsMobile application development or mobile device management
  • Exposure to cloud technologies (AWS, Azure, Google Cloud Platform)Experience with vector databases and RAG architectures
  • Experience working in highly regulated industrie
AI-Driven Automation & Innovation
  • Design and implement AI-powered automation agents to streamline macOS fleet administration, including automated provisioning, configuration drift detection, and self-healing remediation
  • Develop intelligent automation solutions using LLMs and agentic frameworks to reduce manual intervention in routine operational tasks
  • Build predictive maintenance systems that anticipate infrastructure issues before they impact developers
  • Create AI-assisted incident response workflows that automatically triage alerts, correlate events, and suggest remediation steps
DevOps & Platform Engineering
  • Execute software solutions through design, development, and technical troubleshooting with ability to think beyond conventional approaches
  • Oversee CI/CD infrastructure administration, leveraging AI to optimize pipeline performance, predict build failures, and auto-remediate common issues
  • Develop systems that empower developers to innovate while ensuring adherence to firm

Skills

Shell
AWS
Splunk
Agile
Azure
Google Cloud
Grafana
Jenkins
LLM
Python
Terraform

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