DevOps Engineer

Job Title: Developer T2 Duration: 12+ months (Total Hours: 8,992.00) Location: 910 Mainland St, Vancouver, British Columbia V6B 1A9 (Hybrid Role / 3x a week onsite) Description: What You Will Build: As a Developer focused on Platform Engineering and AI/ML, you will design, implement, and operate the cloud‑native infrastructure that powers next‑generation Business Data Cloud solutions. You will: Collaborate with engineering and operations to design, and maintain build systems, CI/CD pipelines, and deployment tooling Develop high‑quality, secure backend services and automation tools supporting end‑to‑end lifecycle of AI/ML features Provide infrastructure expertise, best practices for cloud integration, CI/CD automation, and modern service architecture. Translate complex requirements from cross‑functional stakeholders into technical designs and executable implementation plans. Lead design reviews, produce clear technical documentation, provide peer feedback, and represent your work through demos, presentations, and retrospectives. Contribute to intelligent technology portfolio by enabling reliable, data‑driven decision making at scale. What You Bring: 1-2 years of hands‑on experience in SRE/DevOps, systems engineering, cloud operations, or automation in enterprise environments. Proficiency in cloud platforms (SAP BTP, AWS, GCP, Azure) and container technologies (Kubernetes, Cloud Foundry, Docker, cloud databases, and data/event pipelines). Experience building and operating complex CI/CD pipelines (e.g., Jenkins, Argo CD, Flux CD, GitHub Actions) and automated delivery processes Strong understanding of networking fundamentals and experience with modern load balancers (e.g., HAProxy, NGINX). Ability to write maintainable, production‑grade code in languages such as Python, Java, or similar. Excellent communication skills with the ability to articulate technical concepts to both technical and non‑technical audiences. Bachelor’s degree in Computer Science, Engineering, or equivalent work experience. Preferred Qualifications Designing highly available, horizontally scalable distributed systems; traffic management, autoscaling, and progressive delivery patterns. Ability to architect modular, reusable distributed systems. Experience implementing Generative AI services, ML Ops tooling, or AI‑driven enterprise applications. Curiosity, continuous‑learning mindset, and passion for knowledge‑sharing. Master’s degree or equivalent experience.

As a Developer focused on Platform Engineering and AI/ML, you will design, implement, and operate cloud-native infrastructure for Business Data Cloud solutions. You will collaborate with engineering and operations to maintain build systems, CI/CD pipelines, and develop backend services.

The position requires 1-2 years of hands-on experience in SRE/DevOps or related fields, with proficiency in cloud platforms and container technologies. A bachelor's degree in Computer Science, Engineering, or equivalent work experience is required.

Identified from the job description. Confirm important requirements above.

• Cloud Platforms
• Container Technologies
• CI/CD Pipelines
• Automation Tools
• Networking Fundamentals
• Production-Grade Code
• Technical Documentation
• Communication Skills
• Distributed Systems
• Generative AI Services
• ML Ops Tooling
• Data-Driven Decision Making
• Python
• Java
• Kubernetes
• AWS

• Technology
• Engineering
• Software
• Data & Analytics
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Apply by

Aug 8, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Associate

Application method

Direct apply is available