Production Engineer

Hi, We’re Legl. Legl is building the operating system for modern legal services. We help law firms and regulated businesses replace manual, fragmented workflows with intelligent software from client onboarding and compliance to payments, risk, and reporting. Legal work is high‑stakes. It’s regulated, complex, and deeply human. The software supporting it has historically been slow, manual and brittle. We believe it doesn’t have to be that way. We’re backed by leading European VCs (Series B), scaling quickly, partnered with over 500 law firms including 40 of the UK’s top 200, launched in the UK and Australia – and entering our next phase of growth.

AI Is Not a Side Project Here

We expect you to be AI‑native, and not in the sense of having used a chatbot once. The work that matters most to us is shipping AI or AI process change that changed how other people worked, not just how fast you personally moved: incident response, deployments, alerting, anything operational.

What You’ll Do

• Move freely between app code, infrastructure and monitoring, picking the right layer to fix a problem in, including in code you’ve never seen before.
• Own the deploy and CI/CD pipeline so engineers can get code to production quickly and with confidence, and so non‑engineers can release safely too.
• Own platform monitoring and alerting, cut the noise, keep the signals that actually predict problems, and make alerts something the team trusts again.
• Trace recurring manual workarounds and support load back to their engineering root cause and fix the cause, reducing the manual effort currently falling on CS and the volume of Intercom tickets.
• Use AI and automation to reduce cycle time across the team while keeping quality, safety and trust intact.
• Own outcomes end to end, from the decision through release and iteration, and surface trade‑offs to the person with the authority to own them rather than absorbing them yourself.

You’ll be trusted to make decisions and expected to stand behind them.

This Role Is a Great Fit If…

• You've worked as a senior, cross‑functional engineer, and can articulate business value and make informed tradeoffs against which problems are to be solved vs impact and business need.
• You're genuinely AI‑native and can point to things you've built with AI that changed how other people worked.
• You take ownership of outcomes, not just tasks, and make sound technical calls when the information is incomplete.
• When you're handed a deadline that isn't realistic, you make the trade‑off explicit and get the right person to own it, instead of quietly putting in the hours and calling that delivery.
• You can look at the stack and tell what's healthy versus what's about to break, and you reduce alert fatigue rather than add to it.
• You are a strong communicator and have the ability to work functionally across GTM, support and non‑technical stakeholders to deliver high impact solutions.

This Role Is Not a Great Fit If…

• You want to specialise into one area and stay there, and you hand a problem off the moment it crosses into a layer you don't own.
• You silently absorb impossible expectations and call that delivery. That single‑point‑of‑failure pattern is exactly what this role can't afford.
• You treat AI as a way to tick off basic decisions rather than something that creates real, measurable impact.
• You'd rather take tickets and execute tasks than own the outcome, or you treat other teams as ticket‑takers.