Software Engineer, Cloud Platform
- Toronto, ON, Canada
$165,000 to $330,000 CAD / year · Full-time
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Job details
- Pay
- $165,000 to $330,000 CAD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
About Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems - from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire fleet.
This is a hands-on software engineering role with ownership from design through production. You’ll build APIs, controllers, and automation that make infrastructure easier to operate, reduce configuration drift, and bring GPU capacity online seamlessly to power the AI inference business growth.
EXAMPLE INITIATIVES
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Compensation Range: $165K - $330K
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems - from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire fleet.
This is a hands-on software engineering role with ownership from design through production. You’ll build APIs, controllers, and automation that make infrastructure easier to operate, reduce configuration drift, and bring GPU capacity online seamlessly to power the AI inference business growth.
EXAMPLE INITIATIVES
- Unify Kubernetes platform configuration under GitOps, replacing duplicated cluster manifests with shared configuration and explicit provider overrides.
- Automate cluster onboarding and provisioning with reusable infrastructure templates, readiness checks, and recoverable workflows.
- Build controllers and rollout mechanisms for fleet upgrades and workload-aware maintenance.
- Design, build, and operate services, APIs, and Kubernetes controllers that automate cluster lifecycle management.
- Develop reusable Terraform modules and GitOps configuration that work across cloud and GPU infrastructure providers.
- Make infrastructure changes safe through validation, staged rollouts, clear ownership boundaries, and tested recovery paths.
- Build observability into automation so engineers can understand progress, diagnose failures, and retry operations safely.
- Partner with infrastructure and workload teams to define platform interfaces, resolve operational pain points, and take projects from design through adoption.
- Experience building and owning production infrastructure software or distributed systems.
- Strong programming skills in Go or another systems or backend language, with the ability to contribute to a Go codebase.
- Deep experience with Kubernetes infrastructure, including developing controllers or operators and understanding reconciliation, custom resources, and failure handling.
- Practical experience with infrastructure as code and GitOps tools such as Terraform and Flux or Argo CD.
- Strong Linux, networking, and debugging fundamentals, with sound judgment about reliability and the impact of production changes.
- Ability to turn ambiguous operational problems into maintainable software and communicate design tradeoffs clearly.
- Experience managing Kubernetes fleets across multiple clouds or GPU infrastructure providers.
- Contributions to Kubernetes or infrastructure open source projects, or experience with workflow orchestration and progressive delivery.
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Compensation Range: $165K - $330K
More about this job
Responsibilities
Design, build, and operate services, APIs, controllers, and automation for Kubernetes cluster lifecycle management across cloud and GPU infrastructure. Develop reusable Terraform and GitOps configurations, safe fleet rollouts, and observable recovery workflows while partnering with infrastructure and workload teams.
Requirements
Candidates need experience owning production infrastructure software or distributed systems, strong programming skills in Go or a comparable backend or systems language, and deep Kubernetes infrastructure expertise. They should also have practical Terraform and GitOps experience, strong Linux and networking fundamentals, and the ability to turn ambiguous operational problems into maintainable software.
Skills
- Go
- Kubernetes
- Distributed Systems
- Terraform
- GitOps
- Flux
- Argo CD
- Linux
- Networking
- Infrastructure Automation
- Cluster Lifecycle Management
- Observability
- Reliability Engineering
- Debugging
- Progressive Delivery
Benefits
- Equity
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Flexible Paid Time Off
- Company-Wide Winter Break
- Paid Parental Leave
- Fertility and Family-Building Stipend
- 401(k)
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
Keywords
- Kubernetes
- Cloud Platform Engineering
- AI Inference
- GPU Infrastructure
- Go
- Distributed Systems
- Infrastructure Software
- Kubernetes Controllers
- Kubernetes Operators
- Custom Resources
- Reconciliation
- Terraform
- GitOps
- Flux
- Argo CD
- Cluster Lifecycle Management
- Cluster Provisioning
- Infrastructure as Code
- Fleet Upgrades
- Progressive Delivery
- Observability
- Linux
- Networking
- Reliability
- Failure Handling
- Workflow Orchestration
- Multi-Cloud Infrastructure
- Configuration Management
- Production Operations