Who We Are
In collaboration with our parent company, TELUS Digital, we’ve launched Fuel iX, an enterprise-grade AI engine designed to help companies upgrade their generative AI (GenAI) pilots to production scale, deploy customized solutions faster, and effectively manage the technology responsibly.
Location & Flexibility
This role will have the option to be in a Work From Near (Hybrid) capacity based out of one of the following offices: Vancouver, BC, Toronto, ON, OR in a Work From Anywhere (Remote, CA) capacity.
The Opportunity
We are seeking a Staff Engineer, DevOps to join our team at Fuel iX. This role will serve as a technical leader and subject matter expert in cloud infrastructure, focusing on architecting and implementing robust solutions across GCP and AWS platforms, with a particular emphasis on supporting our AI and machine learning capabilities.
Responsibilities
- Architect and design scalable, secure, and efficient cloud infrastructure solutions
- Drive technical decisions and establish infrastructure standards and best practices
- Provide technical leadership and mentorship through code reviews and architecture discussions
- Design and implement complex infrastructure automation solutions
- Lead critical infrastructure initiatives and proof-of-concept projects
- Collaborate with cross-functional teams to solve complex technical challenges
- Contribute to technical strategy and roadmap planning
- Research and evaluate new technologies for potential adoption
- Create and maintain technical documentation for infrastructure systems
- Design and implement infrastructure to support LLM-provider integrations
- Architect event-driven systems to support our AI-powered platform
- Optimize API management and security using tools like Apigee
Qualifications
- Extensive, deep experience in infrastructure engineering, with significant cloud platform expertise
- Deep technical knowledge of GCP and AWS cloud platforms
- One or more relevant certifications from Google or AWS
- Expert-level experience with infrastructure-as-code (Terraform, CloudFormation)
- Strong background in automation, CI/CD, and DevOps practices
- Experience designing and implementing large-scale distributed systems
- Expertise in container orchestration (Kubernetes) and microservices architecture
- Strong understanding of security best practices and compliance requirements
- Experience with monitoring, logging, and observability tools
- Excellent problem-solving and system design skills
- Strong written and verbal communication skills
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Technical Skills
- Cloud Platforms: GCP, AWS
- Infrastructure as Code: Terraform, CloudFormation
- Containerization: Docker, Kubernetes
- CI/CD: Jenkins, GitHub Actions, or similar
- Scripting: Python, Bash, Go
- Networking: TCP/IP, DNS, Load Balancing
- Security: IAM, Network Security, Encryption
- Monitoring: Prometheus, Grafana, or similar
- API Management: Apigee (preferred)
- Event-driven Architecture: Apache Kafka, Google Pub/Sub, or AWS EventBridge
- AI/ML Infrastructure: Kubeflow, MLflow, or similar
Bonus Points
- Experience with LLM-provider integrations (e.g., OpenAI, Google AI, Anthropic)
- Familiarity with API management platforms, particularly Apigee
- Strong background in designing and implementing event-driven architectures
- Experience with AI/ML infrastructure and MLOps
Why Fuel iX?
- Opportunity to work on cutting-edge AI and cloud technologies
- Competitive salary and benefits package
- Professional development and certification support
- Collaborative and innovative work environment
- Remote work options
Qualified candidates should submit their resume along with examples of significant infrastructure projects they've led or architected, particularly those involving AI/ML technologies, event-driven systems, or API management.