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Software Engineer, Infrastructure & Performance

Dedalus Labs
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San Francisco$120k - $250kFull-timePosted 3w ago

About the role

Dedalus Labs is hiring an infrastructure engineer to accelerate development speed and reliability for their AI-focused platform. The role centers on optimizing build/test/CI pipelines, building scalable internal platforms, and improving delivery and observability across production systems. You will work closely with the CTO and engineers to design and operate fast, reliable infrastructure, including in-house tooling and hardware interaction in a San Francisco-based, in-person setting.

Responsibilities

  • Make the development loop faster by profiling builds, tests, CI queues, artifact transfers, and local workflows; identify bottlenecks and measure improvements.
  • Build platforms and APIs to support multiple internal products; design controllers, CLIs, and services with attention to resource lifecycles, concurrency, cancellation, permissions, and failure reporting.
  • Improve CI/CD, GitOps, environment provisioning, staging, production rollout, and recovery; ensure traceability from source changes to running software with useful metrics, logs, and traces.
  • Build and operate fast infrastructure including Linux servers, containers, VMs, and Kubernetes; optimize capacity, networking, load balancing, resource limits, observability, and recovery.
  • Work with hardware in a controlled homelab to test and debug on real machines and networks; assist with provisioning and maintaining machines, configuring networking, and building test infrastructure.

Qualifications

  • Strong software engineering skills with infrastructure experience used by others
  • Depth in Go, Rust, C++, or another systems language; practical Linux debugging; thoughtful API design
  • Experience with Build systems, CI/CD, GitOps, Kubernetes, observability, and infrastructure as code; familiarity with Terraform is useful
  • Experience scaling production services to 100,000+ requests per second or equivalent demanding workload; ability to explain traffic, load distribution, hardware/resource limits, latency, and error rates
  • Hands-on hardware/Networking experience a plus (homelab, assembly, provisioning, networking, switches, routing, VLANs)
  • Willingness to work in-person in San Francisco; visa sponsorship available

Skills

Required:Go, Rust, C++, or other systems languageLinux debuggingAPI designBuild systems / CI/CD / GitOpsKubernetes / virtualization / containers
Nice to have:Terraform (useful)Hardware familiarity
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Dedalus Labs

Connect any LLM to any MCP tools and create complex agents in minutes.

Dedalus Labs is building Vercel for AI Agents. We host MCP servers on our cloud and handle the boring stuff like autoscaling and load balancing so users can go from idea to production in a single click. Our OpenAI-compatible SDK lets users orchestrate complex agentic workflows through one clean API. Route between any LLM provider, connect any MCP tools from our hosted marketplace, and ship in minutes.

artificial-intelligencedeveloper-toolsworkflow-automationdevops
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