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, LLM
Location: Halifax, NS- Hybrid (4 Days WFO)
What will you do?
· Develop value-add services which integrate with the existing DevOps stack
· Develop CICD pipelines using GitHub Actions, TypeScript, Python, Groovy and Jenkins
· Coach application teams on how to leverage DevOps offerings
· Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
· Participate in new tool adoption, POC process and provide recommendations
· Evolve DevOps services beyond current state for application teams
What 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 / drive
· 2+ years of development experience in one of the following languages: Java, Python, Javascript/TypeScript, C#, C/C++, Python
· Experience with application and system design patterns
· Experience with Docker or Kubernetes
· Experience with Agile methodologies, ie SCRUM
- Design, 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:
· Prompt Management Frameworks
· Retrieval Augmented Generation (RAG) architectures
· Embedding and Vector Search Services
· AI Gateway and Inference APIs
· Agentic AI Orchestration Frameworks
Nice-to-have:
· Experience with Elastic Search and Kibana
· Experience using DevOps CICD tools such as GitHub, GitHub Actions, Jenkins, UrbanCodeDeploy
· Experience with a public cloud technology, i.e. Azure, AWS
· Experience building or supporting distributed applications
