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Staff DevOps Engineer (GCP)
Job summary
A stealth AI startup in Ottawa is seeking a highly experienced Staff DevOps Engineer. In this role, you will own and architect secure, high-performance infrastructure on Google Cloud. Candidates should have at least 10 years in DevOps and deep GCP expertise. The company offers a fast-paced environment focused on innovation, with opportunities for personal growth in a collaborative team. Competitive compensation package includes CA$150K–$250K plus equity options, with relocation support available.
Benefits
Qualifications
- 10+ years in DevOps, SRE, Infrastructure, or Platform Engineering.
- Deep GCP experience—compute, networking, security, and data services.
- Proven success running ML/AI systems in production.
Responsibilities
- Architect and scale secure, high-performance infrastructure on Google Cloud.
- Build and maintain CI/CD pipelines to enable rapid, reliable shipping.
- Bring DevOps best practices into a fast-moving, AI-first environment.
Skills
Tools
Staff DevOps Engineer
Location: On-site, 5 days/week in Ottawa, Canada
Type: Full-time
Compensation: CA$150K–$250K + competitive equity
Visa: Sponsorship or transfer possible for exceptional candidates
This is a stealth AI startup backed by leading investors and operators across tech and AI. The founding team has decades of experience building at scale in consumer, travel, and platform companies. The mission: transform a multi-trillion dollar global industry using production-grade AI from day one.
The company is fully funded, moving fast, and hiring senior engineers who want true ownership in a flat, high-trust team. Every line of infrastructure you write will directly affect how fast the team ships and scales.
As a Staff DevOps Engineer, you’ll own infrastructure from day one. You’ll work hands-on to design, automate, and scale systems that make AI safe, fast, and reliable in production. This is a builder role for a senior engineer who wants to move quickly and own key outcomes.
- Architect and scale secure, high-performance infrastructure on Google Cloud
- Build and maintain CI/CD pipelines to enable rapid, reliable shipping
- Partner with engineers to productionize ML systems and support experimental workflows
- Monitor, secure, and optimize environments for performance and scalability
- Bring DevOps best practices into a fast-moving, AI-first environment
- 10+ years in DevOps, SRE, Infrastructure, or Platform Engineering
- Deep GCP experience—compute, networking, security, and data services
- Proven success running ML/AI systems in production
- Startup mindset: speed, ownership, and comfort in ambiguity
- Track record of high-impact, shipped work across environments
- Desire to grow in a tight, high-talent team where every contribution matters
- Prior experience supporting AI or LLM-heavy infrastructure
- Exposure to CI/CD tooling, observability platforms, or GCP-native ML services
- Previous role in a high-trust startup or high-growth product environment
Tech Stack GCP, OpenAI, Postgres, TurboPuffer, CI/CD
- On-site 5 days/week in Ottawa (within 40 min of downtown)
- Relocation support available for candidates within Canada
- Lean 3-step interview process:
- CEO intro (30 mins)
- Co-founder call (30 mins)
- Technical screen with in-house DevOps engineer (30 mins)
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.