Role: AI Platform Engineer with DevOps Experience - DevOps, Docker (Software), GitHub, GitHub Actions, Information Technology (IT) Infrastructure, Kubernetes, Programming Languages, Red Hat Ansible,Software Product Design, Software Product Technical Knowledge, Software GenAI, LLMWhat will you do?Develop value-add services which integrate with the existing DevOps stackDevelop CICD pipelines using GitHub Actions, TypeScript, Python, Groovy and JenkinsCoach application teams on how to leverage DevOps offeringsChampion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behindParticipate in current tool adoption, POC process and provide recommendationsEvolve DevOps services beyond current state for application teamsWhat do you need to succeed?Must-have:An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills,



and sense of ownership / driveExperience with application and system design patternsExperience with Docker or KubernetesExperience with Agile methodologies, ie SCRUMDesign, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.Build reusable AI services including:Retrieval Augmented Generation (RAG) architecturesEmbedding and Vector Search ServicesAI Gateway and Inference APIsAgentic AI Orchestration FrameworksNice-to-have:Experience with Elastic Search and KibanaExperience using DevOps CICD tools such as GitHub, GitHub Actions, Jenkins, UrbanCodeDeployExperience with a public cloud technology, i.E. Azure, AWSExperience building or supporting distributed applications

📌 Ai Platform Engineer With Devops (Halifax Regional Municipality)
🏢 apptoza
📍 Halifax Regional Municipality