Staff / Senior Software Engineer, Infrastructure

What You’ll Do

• Architect and build services to handle massive consumer traffic, data, and usage
• Design systems that are performant, secure, scalable, and easy to observe
• Own systems end-to-end — from design and implementation through deployment, monitoring, and operational excellence
• Lead by example on engineering excellence — code quality, system design, documentation, and operational maturity
• Collaborate with engineering teams across the company to understand their needs and build the right abstractions
• Communicate proactively and with high bandwidth — concise and information-dense async updates, stakeholder alignment, low entropy
• Operate with ambiguity — scope what matters, make tradeoffs, and drive projects forward independently

What You’ll Need (Required)

• 5–7+ years of infrastructure, backend, or systems engineering experience
• Experience building and operating systems at significant scale in production
• Strong understanding of distributed systems, cloud services (AWS/GCP), and modern infrastructure patterns
• Experience with some combination of: Kubernetes, Docker, infrastructure as code (Pulumi/Terraform/CDK), databases (Postgres, distributed relational databases), caching systems, or container orchestration
• Ability to reason through hard scaling, reliability, and performance problems with clear technical judgment
• High ownership — you drive projects end-to-end without waiting for direction
• Strong communication skills — you keep stakeholders informed and reduce ambiguity for the teams you serve
• An obsession with engineering excellence, iterating and learning rapidly, and working hard

Strong Plusses

• Deep experience with Kubernetes at scale — cluster management, control plane scaling, multi-tenancy
• Experience with large-scale databases, distributed data layers, or storage systems
• Experience with ML infrastructure — inference serving, ML data pipelines, MLOps, GPU infrastructure
• Experience on a platform or developer experience team where your primary customers were other engineers
• Experience building internal systems 0→1 (auth, notifications, CDN, DevEx tooling, or similar)
• Strong oncall instincts — triage, debug, and resolve incidents across a distributed stack
• Hands-on familiarity with AI tooling and the current landscape of AI for software engineering — models, agents, coding assistants, and agentic workflows
• Golang or Rust experience, especially for large-scale systems
• Experience with websockets, CDNs, streaming traffic patterns, and audio/video delivery
• Security best practices in building and scaling infrastructure
• Technical leadership or management experience