Software Engineering LMTS / PMTS (Software Factory)
Posted Updated
Summary
You’ll be an early engineer on a new Software Factory team that makes AI coding agents (Claude, Codex, Cursor) dependable across the codebase. Day to day, you’ll build agent-native monorepo tooling, containerized sandboxes, feedback loops/evals, and Slack/Linear/GitHub orchestration, while teaching the engineering org to work with agents.
- Software Factory is a new team that makes coding agents dependable in Qualified’s codebase and how work gets planned, implemented, shipped, and monitored
- We run the best off-the-shelf agents (Claude, Codex, Cursor, and whatever comes next) rather than building our own
- This team’s product is everything around those agents
- That means a monorepo agents can orient in quickly, secure sandboxes where they run our full build, and a feedback loop that measures where agents stall or work from bad context, then fixes the cause
- As one of the team’s first engineers, you’ll shape that work from the ground up while shipping to demanding internal customers from day one: every engineer, product manager, and designer at Qualified
- Make our monorepo agent-native: instruction files, skills, and progressive disclosure that get an agent to the right code in minutes, re-audited with every new model
- Build the feedback loop: session telemetry across Cursor, Claude Code, and Codex, evals, and PR review analysis that separates wrong decisions from bad context
- Own the agent sandbox: a full dev environment in a container, with proxy-only network access and secrets swapped at the proxy so agents never hold real credentials
- Evaluate and integrate orchestration that starts agent work from Slack, Linear, GitHub, and schedules, with sound build-vs-buy judgment
- Build the guardrails (verification, evals, and review) that let more agent work merge with less human hands-on time
- Teach the engineering org to work with agents day to day, through enablement sessions and shared patterns
- Own delivery from design through launch, monitoring, and iteration
Benefits
- Medical Care
- Life Insurance
- Retirement Savings
- Employee Assistance Programs
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
- A heavy daily user of coding agents (Claude Code, Codex, Cursor, or similar), with real opinions about where they shine, where they fail, and how to instruct them
- Experienced building developer tooling or developer experience that other engineers depend on daily
- Experienced leading engineers to deliver complex systems
- Comfortable owning a containerized environment end to end, including its network rules and secrets handling
- Energized by ambiguity: a new team means the roadmap and conventions are still being written
- Able to turn messy signals (session logs, PR threads, eval results) into a specific fix and show it worked
- Pragmatic about build versus buy: the ecosystem moves weekly, and you’d rather integrate something great than rebuild it
