DevOps Software Engineer III - AI & Automation - Intermediate (5+YearsSkills:Formal training or certification in software engineering with 3+ years applied experienceExperience in DevOps with CI/CD tools (Jenkins, Bitbucket, Terraform) and application resiliency & securityProficiency in Python and Shell scriptingExperience with system administration and automated provisioningHands-on experience with logging, monitoring, and observability tools (Splunk, Dynatrace, Grafana)Production support and incident management experienceSolid understanding of agile methodologies, CI/CD practices, and security principlesExperience with AI/ML frameworks (LangChain, AutoGen, CrewAI, or similar agentic frameworks)Familiarity with LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineeringDemonstrated ability to build AI-powered automation workflows or intelligent botsUnderstanding of when and how to apply AI solutions to operational challengesPreferred Qualifications, Capabilities, and SkillsmacOS administration and MDM platforms (Jamf, Kandji, Mosyle)Experience building automation bots or intelligent workflowsMobile application development or mobile device managementExposure to cloud technologies (AWS, Azure, GCP)Experience with vector databases and RAG architecturesExperience working in highly regulated industrieJob ResponsibilitiesAI-Driven Automation & InnovationDesign and implement AI-powered automation agents to streamline macOS fleet administration, including automated provisioning, configuration drift detection, and self-healing remediationDevelop intelligent automation solutions using LLMs and agentic frameworks to reduce manual intervention in routine operational tasksBuild predictive maintenance systems that anticipate infrastructure issues before they impact developersCreate AI-assisted incident response workflows that automatically triage alerts, correlate events, and suggest remediation stepsDevOps & Platform EngineeringExecute software solutions through design, development, and technical troubleshooting with ability to think beyond conventional approachesOversee CI/CD infrastructure administration, leveraging AI to optimize pipeline performance, predict build failures, and auto-remediate common issuesDevelop systems that empower developers to innovate while ensuring adherence to firm