Staffinity is currently seeking an AI Platform Engineer - Dev Ops 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 Dev Ops 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.
Responsibilities
Dev Ops 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 Git Hub Actions, TypeScript, Python, Groovy, and Jenkins.
Developer Experience Championing:
Guide and coach internal application teams on how to leverage automated Dev Ops 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.
Qualifications
Education:
Degree or diploma in Computer Science, Software Engineering, or a related technical field.
Experience:
2+ years of rigorous development experience within a production-class software delivery environment.
Programming Prowess:
Strong coding background with a proven track record in at least one of the following languages:
Java, Python, JavaScript/TypeScript, C#, or C/C++.
Containerization & Architecture:
Direct practical experience handling application and system design patterns using Docker or Kubernetes.
Methodology:
Solid background working within structured Agile (SCRUM) delivery frameworks.
Tools &
Infrastructure: Familiarity with public cloud technologies (AWS or Azure), Elastic Search, Kibana, Jenkins, Git Hub Actions, Urban Code Deploy, or Ansible.
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