> Markdown version of [/jobs/ext/4515290-devops-engineer-cloud-platform](https://www.wearedevelopers.com/jobs/ext/4515290-devops-engineer-cloud-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer, Cloud Platform - **Company:** Upstart - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $142,000.0 - $196,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Computing Security, Cyber Security, DevOps, Programming Tools, Identity and Access Management, Subnetting, Machine Learning, Network Architecture, Role-Based Access Control, Software Engineering, AWS Cdk, Cloud Platform System, Istio, System Availability, Amazon Virtual Private Cloud (VPC), Kubernetes, Information Technology, Cloudflare, CIS Benchmarks, Terraform - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/devops-engineer-cloud-platform-san-francisco-ca--70ad9c82-9c20-4e02-88d6-294a438c5138 ## About the Role DevOps, Software Engineering, Cloud Computing, Artificial Intelligence (AI), Cost Control, Credit Union, Loans, Sales Closing Skills, Programming Tools, Machine Learning, * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience) and 3+ years of professional experience * 3+ years of experience operating Kubernetes in production environments, including cluster networking, storage, and RBAC * Proficiency with AWS infrastructure, including VPC design, networking, and IAM * Proven expertise in implementing infrastructure-as-code using tools such as Terraform or AWS CDK * Experience implementing GitOps workflows using tools such as ArgoCD or similar * Ability to influence technical decisions across teams and drive adoption of platform standards Preferred Qualifications * Knowledge of service mesh technologies such as Istio or Envoy * Experience designing or operating multi-cluster Kubernetes architectures * Experience with cloud networking at scale, including ingress/egress or edge platforms (e.g., Cloudflare) * Knowledge of cloud security, identity, and compliance frameworks (e.g., IAM, SOC 2, CIS benchmarks) ## Description If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you. The Team: Upstart's Cloud Platform team sits within the Reliability organization and is responsible for building and operating the shared cloud infrastructure that powers all product and machine learning workloads. The team owns core platform components across Kubernetes (EKS), AWS infrastructure, service mesh, identity, and developer tooling, enabling reliability, scalability, and security across the business. As a DevOps Engineer (L4) at Upstart, you will help evolve this platform to support increasing scale and complexity. You'll partner closely with SRE, Delivery, InfoSec, and Product/ML teams to improve reliability, developer experience, and cost efficiency across a platform used by nearly every engineering team. How you'll make an impact * Design and operate a fleet of Kubernetes (EKS) clusters across production, staging, and ephemeral environments, ensuring reliability and high availability * Evolve AWS infrastructure and network architecture (VPCs, subnets, IAM, account structure) to support scalable, multi-team workloads * Build and maintain infrastructure-as-code and GitOps workflows using tools such as Terraform, CDK, and ArgoCD * Improve platform reliability and performance by defining and driving SLOs, analyzing incidents, and implementing systemic fixes * Participate in and help improve the on-call rotation, leading incident response and post-incident reviews to drive systemic platform improvements * Partner with SRE, Delivery, InfoSec, and product/ML teams to land high-impact infrastructure changes and platform standards * Drive improvements in developer experience by simplifying platform usage, reducing toil, and enabling faster product and ML development * Contribute to cost efficiency initiatives by optimizing resource utilization across Kubernetes and cloud infrastructure