AI Platform Engineer - DevOps

Staffinity Inc•Halifax, NS

20h•CA$100,000 - CA$120,000•Hybrid

About The Position

Staffinity is currently seeking an AI Platform Engineer - DevOps for a premier corporate client located in Halifax. This is a full-time position offering a competitive salary and comprehensive enterprise benefits package. The base salary range is 100-120 + benefits, RRSP matching, vacation and personal days. This is a hybrid position, up to 3 days per week in office. Our client is an innovative digital engineering ecosystem focused on building high-performance, efficient, and automated platform services. Rather than managing manual infrastructure operations, this role is explicitly focused on developing value-add services that integrate with an existing DevOps stack, championing developer experience, and accelerating CI/CD pipeline automation within an autonomous engineering environment. Ideal Candidate Profile: We are looking for an outside-the-box, automation-obsessed engineer who resists a restricted corporate framework and thrives on driving systemic efficiency. The ideal candidate has an engineering mindset, strong analytical skills, and loves creating tools that make life easier for cross-functional application teams.

Requirements

Degree or diploma in Computer Science, Software Engineering, or a related technical field.
2+ years of rigorous development experience within a production-class software delivery environment.
Strong coding background with a proven track record in at least one of the following languages: Java, Python, JavaScript/TypeScript, C#, or C/C++.
Direct practical experience handling application and system design patterns using Docker or Kubernetes.
Solid background working within structured Agile (SCRUM) delivery frameworks.
Familiarity with public cloud technologies (AWS or Azure), Elastic Search, Kibana, Jenkins, GitHub Actions, UrbanCode Deploy, or Ansible.

Responsibilities

DevOps Service Development: Design, build, and maintain value-add services and automation tools that integrate seamlessly with the existing core platform stack.
Pipeline Optimization & Engineering: Programmatically develop and scale robust CI/CD pipelines utilizing GitHub Actions, TypeScript, Python, Groovy, and Jenkins.
Developer Experience Championing: Guide and coach internal application teams on how to leverage automated DevOps offerings, ensuring seamless adoption and zero friction.
Tool Evaluation & Innovation: Actively participate in new tool adoption, proof-of-concept (POC) execution, and provide strategic recommendations to evolve platform services beyond current states.
Agile & SDLC Collaboration: Work within high-performing SCRUM teams to deliver production-class software with a strong sense of ownership and drive.