Software Engineer, Developer Productivity

Engineer whose job is to make the rest of the engineering team faster. You’ll own our cloud infrastructure, CI/CD, and observability (foundation on GCP, Kubernetes, Terraform, and Datadog), but most of your time will go toward making Consensus an AI-native engineering org: rolling out coding agents, keeping our codebase agent-ready, and building automations that absorb routine work so engineers and agents can both ship with confidence., * Accelerate the team with AI. Evaluate and roll out AI tooling across engineering (coding agents like Claude Code / Cursor / Codex / Devin, AI-powered code review and testing), tune it to our codebase and conventions, and keep the repo agent-ready with high-quality docs, skills, and guardrails.

• Build internal agents and automations that absorb toil: incident triage, test maintenance, on-call support, codebase Q&A. Track adoption and measure the productivity gains.
• Own the developer loop: GitHub-based CI/CD, build speed, release process, dev environments, and load/automated testing (including AI-driven end-to-end tests). Make it fast to go from idea to production.
• Keep the platform reliable. Own cloud infra (GCP, Kubernetes, Terraform), observability and incident response (Datadog), and extend coverage to newer surfaces like LLM pipelines and agent workloads.

• 5+ years of engineering experience, including meaningful time on infrastructure or developer tooling
• You work AI-natively: coding agents and LLM tooling are part of your daily workflow, and you have sharp instincts for where AI removes toil vs. where it can’t yet be trusted
• Deep experience with Kubernetes, Terraform, Docker, and modern CI/CD on a major cloud provider
• Empathy for what slows engineers down, and a track record of fixing it
• History of high-velocity delivery and ownership with minimal direction
• Interest in the mission: science, research, education
• Bonus: Python/FastAPI backend, ML or search infrastructure, or having rolled out AI dev tooling (agent workflows, evals, MCP) to a team

• $190-$240k cash
• Generous early stage equity

Final offers are determined by multiple factors and may vary from the amounts listed above.