Cloud Platform Engineer
Join Baseten as a Cloud Platform Engineer to build scalable infrastructure for deploying machine learning models.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Cloud Platform Engineer at Baseten, the individual will focus on designing and implementing scalable infrastructure to support machine learning model deployment and operations. Key skills include extensive experience with Kubernetes, infrastructure-as-code tools, and CI/CD processes. This position is ideal for someone with a strong engineering background who can manage projects from inception to execution while mentoring junior team members. Baseten's rapid growth and commitment to AI innovation create a dynamic environment for professionals eager to make an impact.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on baseten's careers page October 27, 2026.
- Kubernetes appears in 63.8% of 218 comparable mid devops/sre roles; CloudFormation appears in 0.5% of 218 comparable mid devops/sre roles.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Circle CI, CloudFormation, ELK stack, GitHub Actions, GitLab CI, Grafana.
- What seniority level is this role?
- baseten targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Cloud Platform Engineer role at baseten.
From the original posting
THE ROLE
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.
We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
RESPONSIBILITIES
Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.
Establish standards and best practices for reliability and performance across the infrastructure.
Automate processes when relevant, particularly for managing CI/CD pipelines.
Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.
Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
Mentor junior team members and contribute to knowledge sharing within the organization.
Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
Extensive experience with Kubernetes.
Experience in building and maintaining scalable infrastructure.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).
Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus.
Ability to own projects end-to-end, from project specification to execution.
No prior machine learning experience required, but should be open to learning about it.
BENEFITS
Competitive compensation, including meaningful equity
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Standard company text repeated across baseten's postings is omitted here.