DevOps Software Engineer III

DevOps Software Engineer III AI & Automation - Intermediate (5 YearsSkills: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 & security
Proficiency in Python and Shell scripting
Experience with system administration and automated provisioningHands-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 workflows
Mobile application development or mobile device management
Exposure to cloud technologies (AWS, Azure, GCP)Experience with vector databases and RAG architectures
Experience working in highly regulated industries

Job Responsibilities
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