Platform Engineer
Cube
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSCloudDistributed SystemsGoGoogle Cloud PlatformKubernetesLinuxPythonRustTerraform
About the role
- Designing and maintaining cloud-native infrastructure for a globally distributed analytics platform
- Building internal platform tooling to improve developer velocity, observability, and deployment safety
- Scaling multi-tenant systems that serve large volumes of analytical queries with strict latency requirements
- Improving reliability, fault tolerance, and disaster recovery for Cube cloud platform
- Operating Kubernetes-based environments and evolving our deployment and release pipelines
- Implementing monitoring, alerting, and incident response practices for a high-availability system
Requirements
- Strong experience with cloud infrastructure (AWS, GCP, or similar)
- Hands-on experience with Kubernetes, container orchestration, and infrastructure-as-code (Terraform or equivalent)
- Solid understanding of distributed systems, networking, and Linux internals
- Experience building and operating production systems with high availability and performance requirements
- Proficiency in at least one programming language used for platform development (Go, Rust, Python, or similar)
- Good communication skills and ability to work effectively in a remote, async environment
- Fluent English
Benefits
- Fully remote company
- Health insurance
- Paid time off
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
cloud infrastructureKubernetescontainer orchestrationinfrastructure-as-codeTerraformdistributed systemsnetworkingLinux internalsprogramming languageshigh availability
Soft skills
communication skillsremote workasync environment