Senior Backend Platform Engineer
Role details
Job location
Tech stack
Job description
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Work deeply with Linux, Kubernetes, containers, networking, and public cloud infrastructure
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Own systems throughout their lifecycle, including architecture, implementation, deployment, observability, incident response, and continuous improvement
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Solve distributed-systems challenges involving state, concurrency, multi-tenancy, workload isolation, failure recovery, and scalability
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Build infrastructure and platform primitives used by other engineers and developer-facing products , and e stablish best practices for system design, code quality, testing, reliability, and production operations
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Collaborate across engineering and product teams to translate complex infrastructure requirements into simple, dependable developer experiences
Requirements
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B.S. degree or equivalent experience
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8+ years of relevant software engineering experience, with flexibility for exceptional candidates
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Strong professional experience developing production systems in Go , Linux systems knowledge and the ability to debug across system layers
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Strong networking fundamentals, including TCP/IP, DNS, routing, proxies, VPNs, and load balancing
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Hands-on experience with Kubernetes and containerized workloads, and building infrastructure on AWS, GCP, or Azure
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Backend or platform engineering experience with production systems and s trong distributed-systems fundamentals, including consistency, fault tolerance, concurrency, and failure handling
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Experience building infrastructure, developer platforms, cloud services, or shared systems that other engineers depend on
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A track record of owning reliability and operational outcomes in addition to feature delivery
Ways to Stand Out from the Crowd:
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Experience with Temporal or another durable workflow orchestration system
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Experience designing multi-tenant platforms, control planes, or schedulers
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Knowledge of VM lifecycle management, remote execution environments, or sandbox and isolation technologies
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Experience with observability, reliability engineering, capacity planning, or infrastructure automation and building AI agent platforms or developer execution environments
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Experience building and operating GPU infrastructure, including GPU provisioning, scheduling, orchestration, or workload management
Benefits & conditions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.