DevOps Engineer with MLOps
Core
Design, build, and own DevOps platforms and applications that use AI/ML to improve developer productivity, reliability, and security.
Role type
Senior IC DevOps Engineer (MLOps/AIOps)
Builds
AI-powered CI/CD pipelines, observability solutions, and automated incident management systems (via careerplan.io/jobs/CYNET-SYSTEMS-DevOps-Engineer-with-MLOps-devops-engineer-with-mlops-at-cynet-systems)
Domain
Software Engineering / DevOps / AI/ML
Deliverable
production ML models
Required skills
CI/CD platforms, containerization and orchestration, Python scripting, SQL, REST API integration, LLMs, vector search, policy-as-code, hardware troubleshooting
Preferred skills
TypeScript/JavaScript, Bash, Groovy, trunk-based development
Technologies
GitHub Actions, Jenkins, Docker, Kubernetes, Python, SQL, LLM, Bash, JavaScript, TypeScript, Groovy, REST
Responsibilities
Architect and implement MLOps and AIOps solutions; develop AI-powered capabilities for CI/CD and observability; lead automation script development; collaborate with engineering and security teams to define scalable solutions; optimize CI/CD pipelines; apply AI-driven observability and chatops for incident management; establish source control and policy-as-code standards.
Seniority
Senior, hands-on IC