DontApply.Club
Login Register

AI Platform Engineer

Epsilon Solutions Canada — Canada · Posted ~22 hours ago

Senior Full-time Onsite

Skills

DevOps CI/CD Python TypeScript Groovy Jenkins GitHub Actions Docker Kubernetes SDLC system design Agile

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

An engineering organization is looking for an AI platform engineer to build value-added DevOps services and CI/CD pipelines, coach application teams, improve developer experience, and evolve internal engineering platforms. Strong production development experience and familiarity with containers or orchestration are expected.

Highlights

Build and evolve developer-facing platform services, improve developer experience, create CI/CD capabilities, evaluate new tools, and influence engineering best practices.

Description

Position: AI Platform Engineer Location: Downtown Toronto, ON Role: AI Platform Engineer Responsibilities: • Develop value-add services which integrate with the existing DevOps stack. • Develop CI/CD 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. Must-have: • An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive •5+ years of development experience in one of the following languages: Java, Python, JavaScript/TypeScript, C#, C/C++ • Experience with application and system design patterns. • Experience with Docker or Kubernetes. • Experience with Agile methodologies (SCRUM). Nice-to-have: • Experience with Elastic Search and Kibana. • Experience using DevOps CI/CD tools such as GitHub, GitHub Actions, Jenkins, UrbanCode Deploy. • Experience with public cloud technologies (Azure, AWS). • Experience building or supporting distributed applications.