Senior Backend Platform Engineer

What You'll Be Doing

• Design, build, and operate production backend services and infrastructure in Go
• Develop platform capabilities for provisioning, managing, and executing workloads across cloud environments
• Build reliable control planes, APIs, schedulers, and infrastructure automation
• Work deeply with Linux, Kubernetes, containers, networking, and public cloud infrastructure
• Own systems throughout their lifecycle, including architecture, implementation, deployment, observability, incident response, and continuous improvement
• Solve distributed-systems challenges involving state, concurrency, multi-tenancy, workload isolation, failure recovery, and scalability
• Build infrastructure and platform primitives used by other engineers and developer-facing products, and establish best practices for system design, code quality, testing, reliability, and production operations
• Collaborate across engineering and product teams to translate complex infrastructure requirements into simple, dependable developer experiences

What We Need To See

• B.S. degree or equivalent experience
• 8+ years of relevant software engineering experience, with flexibility for exceptional candidates
• Strong professional experience developing production systems in Go, Linux systems knowledge and the ability to debug across system layers
• Strong networking fundamentals, including TCP/IP, DNS, routing, proxies, VPNs, and load balancing
• Hands-on experience with Kubernetes and containerized workloads, and building infrastructure on AWS, GCP, or Azure
• Backend or platform engineering experience with production systems and strong distributed-systems fundamentals, including consistency, fault tolerance, concurrency, and failure handling
• Experience building infrastructure, developer platforms, cloud services, or shared systems that other engineers depend on
• A track record of owning reliability and operational outcomes in addition to feature delivery

Ways To Stand Out From The Crowd

• Experience with Temporal or another durable workflow orchestration system
• Experience designing multi-tenant platforms, control planes, or schedulers
• Knowledge of VM lifecycle management, remote execution environments, or sandbox and isolation technologies
• Experience with observability, reliability engineering, capacity planning, or infrastructure automation and building AI agent platforms or developer execution environments
• Experience building and operating GPU infrastructure, including GPU provisioning, scheduling, orchestration, or workload management

Pay

Base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.