AI Platform Engineer - DevOps

Résumé du poste

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.

Détails du poste

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.

Ce que vous ferez

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.

Exigences

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.

Avantages

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

Compétences indiquées

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

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• 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)

Domaines d’emploi

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