- Company: Get A Job.ai
- Location: Canada, United States
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential cloud infrastructure organization operating large-scale GPU clusters for AI and high-performance computing workloads. Our client is seeking a Senior Production Engineer to join their team building automation, tooling, and operational systems that make GPU infrastructure reliable, scalable, and production-ready. This is a remote opportunity available in the United States and Canada.
You'll be part of a production engineering team focused on Kubernetes-based infrastructure, cluster operations, reliability engineering, and Day 2 operability across distributed cloud environments.
Responsibilities
- Build and operate automation for large-scale GPU clusters across cloud partner and on-premises environments
- Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle management
- Improve Day 0, Day 1, and Day 2 workflows for cluster deployment, handoff, and production operations
- Reduce manual operational overhead through APIs, GitOps practices, automation frameworks, and agent-assisted workflows
- Participate in on-call rotation, incident response, production debugging, and post-incident remediation work
- Collaborate with platform, storage, networking, security, and workload teams to ensure infrastructure meets production standards
What We're Looking For
Required qualifications:
- 8+ years of experience building or operating production infrastructure at scale
- Strong programming skills in Python, Go, or similar languages
- Hands-on experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation
- Demonstrated ability to troubleshoot distributed systems in production environments
- Clear communication skills and ability to collaborate across technical teams
- BS/MS in Computer Science or equivalent practical experience
Preferred experience:
- GPU infrastructure, Kubernetes operators, GitOps workflows, Terraform, ArgoCD, or fleet automation platforms
- SLOs, on-call practices, incident response, observability tooling, and site reliability engineering
- Bare metal as a service, VM management platforms, managed Kubernetes services, or multi-cloud infrastructure
How We Work With You
When you apply through Get A Job.ai, our recruiting team will review your background and schedule an initial screening call. If there's a strong match, we'll coordinate your interview process with our client. Please apply exclusively through our platform—direct contact with the client is not part of our process and may disqualify your application.
Pay
Compensation details will be discussed during the screening process based on your experience level and location.
Equal Employment Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome candidates from all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Terms used in this posting
- on-call
- You may be required to be reachable and available to work outside normal scheduled hours, typically for a set rotation.
Explore Get A Job.ai online
Working in Canada
Canada is a country in North America. Its ten provinces and three territories extend from the Atlantic Ocean to the Pacific Ocean and northward into the Arctic Ocean, making it the second-largest country by total area, with the longest coastline of any country. Its border with the United States is the longest international land border. The country is characterized by a wide range of both meteorologic and geological regions. With a population of over 41 million, it has widely varying population densities, with the majority residing in its urban areas and large areas being sparsely populated. It
🇺🇸 Relocation safety for US: Exercise Normal Caution — via Warnely, CC BY 4.0
National unemployment rate in US: 4.2% — via World Bank
National job openings rate: 4.4% — via BLS JOLTS
Private-sector wage growth (year over year): 3.1% — via FRED
National quits rate: 2.0% — via FRED (BLS JOLTS)
Weekly initial unemployment claims: 206,000 — via FRED
GDP per capita in US: $90,027 — via World Bank
Consumer price inflation in US: 2.9% (annual) — via World Bank
Real GDP growth in US: 2.2% (annual) — via World Bank
Average hours worked per year in US: 1,800 — via OECD
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Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Senior Production Engineer – DGX Cloud
- Employer Get A Job.ai
- Location Canada, United States
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 5, 2026
- Apply by October 5, 2026
- Country United States
- Overview Full job description on this page (396 words)
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