DevOps Engineer
Team: Systems and Architecture
Location: Vancouver, BC
Commitment: Full-Time
Workplace Type: onsite
Success Criteria
- Own our team’s observability stack end-to-end - cloud resources, applications, dashboards, and automated backups
- Maintain and improve CI/CD pipelines, vulnerability scanning, distributed storage, and internal compute resources in a hybrid cloud environment
- Collaborate with our software engineering and machine learning research teams to support and improve their day-to-day work
- Continuously deepen our team’s expertise in technologies such as Docker, Kubernetes, Gitlab, Grafana, and Azure
- Collaborate on high impact projects across multiple teams, providing guidance and expertise to other teams on cloud, CI/CD, security and containerization
- Design and implement automation that eliminates operational toil and frees engineering teams to focus on high-impact work
Experience and Qualifications
- Bachelors’ Degree in Computer Science or equivalent
- 4+ years of industry experience
- Experience with any of the following: Containerization (Docker, Kubernetes, containers)
- CI/CD pipelines and git (Gitlab, Github)
- Cloud infrastructure (Azure, AWS)
- Infrastructure as Code (Bicep, Terraform, Ansible)
- Networking, and security
- Linux, Python, bash
Skills
- Ability to quickly learn and internalize new technologies
- Excellent systems debugging and design skills
- Familiarity with cross-team collaboration
- Time management and task prioritization in a fast paced environment
Traits
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives.
- Successful candidates will be a proponent of personal responsibility for themselves and their teammates.
- Empathic listener who is solution-oriented in both work and working relationship.
- Consistent bias for action, effective communication, and building positive interpersonal relationships.
- Self-motivated and able to solve problems independently.
- Mission-driven and passionate about bringing physical artificial intelligence to general purpose robots.
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