Staff Software Engineer, Tech Lead, Payroll Onboarding
Posted Sep 25, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a deep technical initiative you led across several teams. How did you get people who didn't report to you to commit to it?
What they are checking: Whether they lead through influence and clear technical reasoning, which is what a staff tech lead does daily.
Describe a time you pushed back on a product requirement because of a technical risk. How did it end?
What they are checking: Whether they can disagree constructively with product partners and land on a decision both sides can live with.
How do you raise the skill level of the engineers on your team without becoming the bottleneck for every design?
What they are checking: Whether they multiply the team's output through mentoring and delegation instead of doing all the hard parts themselves.
What would you do
A restaurant owner wants the cheapest possible schedule, and the staff want predictable shifts. How would you build the product so both sides feel it's fair?
What they are checking: Whether they see the human tradeoffs behind the data model, which is the heart of a scheduling product for employers.
Friday night a scheduling publish job fails for a few hundred restaurants and managers can't send next week's shifts. What do you do first, and what do you do after it's fixed?
What they are checking: Whether they stay calm, protect customers first, and then fix the root cause instead of just the symptom.
If you joined and found the scheduling code had weak test coverage and frequent regressions, how would you improve quality while still shipping roadmap work?
What they are checking: Whether they can make a practical plan to pay down tech debt without stopping delivery or asking for a rewrite.
About the work
Walk me through how you'd design a scheduling engine that builds a labor plan for a restaurant, balancing labor cost, employee availability and forecasted guest demand.
What they are checking: Whether they can model competing constraints as a real system instead of jumping straight to a single optimization trick.
Predictive scheduling laws in some cities require advance notice and pay for last-minute changes. How would you design the system so those rules don't turn into a pile of special cases?
What they are checking: Whether they can make jurisdiction rules configurable and testable rather than hard-coded and fragile.
How do you decide when to break a growing service into smaller services and when to keep it together?
What they are checking: Whether they reason from team ownership and failure boundaries rather than following microservice fashion.
How would you handle shift swaps and time-off requests that happen at the same moment from different devices?
What they are checking: Whether they understand concurrency, conflict resolution and what the user should see when two changes collide.
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As published by Toast.