AI Platform Engineer - DevOps
- Halifax, NS
- Hybrid
- Posted Jul 2, 2026
- 1 position
$100,000–$120,000 / year
Opens an external site
- 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
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