AI Platform Engineer with DevOps Experience
6-12 months

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

Job Description
What is the Opportunity?
Are you looking to make an impact across many teams? Excited at the thought of transforming the flows that help these teams deliver their products to production? If so, you’ve come to the right place.

We are looking for a Developer obsessed with efficiency and automation to be part of an autonomous team to deliver services for application teams across Capital Markets. An open-minded individual who is not afraid to fail fast and pivot when needed. An individual who seeks out gaps and challenges to drive efficiency not only for other application teams but also for their own team. Knowledge sharing is key in this respect. As a Developer, you will participate in transforming DevOps for Capital Markets.

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 recent 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

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:

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

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📌 AI Platform Engineer with DevOps Experience (Nova Scotia)
🏢 Net2Source (N2S)
📍 Nova Scotia