Back to job search
Staffinity Inc logo
Staffinity IncVerified Job Source

AI Platform Engineer - DevOps

  • Halifax, NS
  • Hybrid
  • Posted Jul 2, 2026
  • 1 position

$100,000–$120,000 / year

Opens an external site

Sign in to save this job
Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week
Office presence
3 days per week

Job summary

Design, build, and maintain value-add services and automation tools that integrate with the existing platform stack. Guide and coach internal application teams on adopting automated DevOps offerings while optimizing CI/CD pipelines.

Job details

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. 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. 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, GitHub Actions, UrbanCode Deploy, or Ansible.

What you’ll do

Design, build, and maintain value-add services and automation tools that integrate with the existing platform stack. Guide and coach internal application teams on adopting automated DevOps offerings while optimizing CI/CD pipelines.

Requirements

Requires a degree or diploma in Computer Science, Software Engineering, or a related field with at least 2 years of production-class software delivery experience. Candidates must possess strong programming skills in languages like Python, Java, or TypeScript and have practical experience with containerization tools like Docker or Kubernetes.

Benefits

• Enterprise benefits package • RRSP matching • Vacation days • Personal days

Listed skills

  • Microsoft Azure · Preferred
  • Kubernetes · Preferred
  • CI/CD · Preferred
  • Docker · Preferred
  • JavaScript · Preferred
  • TypeScript · Preferred
  • Amazon Web Services · Preferred
  • Java · Preferred
  • C++ · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • DevOps
  • CI/CD
  • Automation
  • TypeScript
  • Python
  • Java
  • JavaScript
  • C#
  • C++
  • Docker
  • Kubernetes
  • AWS
  • Azure
  • Jenkins
  • GitHub Actions
  • Ansible
  • Pipelines
  • Analytical Skills
  • C (Programming Language)
  • Java (Programming Language)
  • JavaScript (Programming Language)
  • Agile Methodology
  • Artificial Intelligence
  • Amazon Web Services
  • Microsoft Azure
  • C# (Programming Language)
  • C++ (Programming Language)
  • Containerization
  • Computer Science
  • Github
  • Innovation
  • Python (Programming Language)
  • Operations
  • Product Family Engineering
  • Scrum (Software Development)
  • Systems Development Life Cycle
  • Public Cloud
  • Service Development
  • Software Engineering
  • Systems Design
  • Kibana
  • Docker (Software)

Job areas

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Platform Engineer
  • Software and Applications Developers and Analysts Not Elsewhere Classified
  • Validation Engineers
  • Industrial Engineers

More jobs you can apply to directly

Similar opportunities posted by employers hiring on Jobs.ca, with no external application form.

Browse all Easy Apply jobs