Temporal is the durable-workflow platform spun out from Uber Cadence — used by Snap, Coinbase, Stripe, Datadog, and many others to write reliable distributed code. Series C, $1.7B+ valuation. The interview emphasizes deep distributed systems work, deterministic execution semantics, and the engineering of a long-running stateful platform.
Process
Recruiter screen → 60-minute coding (DSA medium) → onsite virtual: 2 coding, 1 system design, 1 craft deep-dive, 1 behavioral. Senior+ infra candidates often get a deep distributed-systems round. Cycle: 3–5 weeks.
What they actually ask
- Design a workflow engine that survives process restarts deterministically — interviewers want you to persist progress as an append-only event history and rebuild in-memory state by replaying it, so a worker that crashes mid-run resumes where it left off. Keep the workflow code deterministic and push every side effect into an activity; naming wall-clock time, random numbers, or map iteration order as things you cannot call directly from workflow code scores well here.
- Design a sharded history service with consistent routing — expect to explain how workflow IDs map to shards, how a single owner per shard stops two hosts from writing the same history, and how you rebalance when you add capacity. A concrete answer hashes the workflow ID to a shard and assigns each shard to exactly one history host.
- Design idempotent activity execution with at-most-once or exactly-once semantics — because an activity can run more than once when a retry fires or an ack is lost, the probe is how you make repeated calls safe. Reach for an idempotency key or dedup token so re-running a charge or a create is a no-op the second time.
- Coding: medium DSA, plus careful systems reasoning — think arrays, strings, hashmaps, and graphs at medium difficulty, where correctness and edge cases matter more than a clever trick. Talk through your time and space cost as you go, and treat the problem the way a systems engineer would.
- Behavioral: ownership, deep technical taste, working with experienced infra engineers — bring a story where you owned an ambiguous system end to end and made a call under uncertainty, then defended it. Expect follow-ups on the option you rejected and why.
Levels and comp (2026)
- SE: $190K–$260K total (cash + meaningful equity)
- Senior SE: $270K–$370K total
- Staff: $380K–$540K total
- Principal: $530K–$780K+ total
Prep priorities
- Be fluent in Go (server) and at least one SDK language (Java, TypeScript, Python) — you may be asked to read idiomatic Go using goroutines and channels for the platform side, and to sketch a workflow and its activities in an SDK. Know why workflow code has to stay deterministic while activities are free to do I/O.
- Understand event-sourcing, deterministic replay, and saga patterns — be ready to show how appending events and replaying them reconstructs state after a crash, and how a saga chains compensation steps to undo partial work when a later step fails, such as refunding a payment when a downstream booking never confirms.
- Brush up on Cassandra/PostgreSQL persistence and consistent hashing — know what the store holds (mutable execution state plus the event history) and how consistent hashing spreads shards across nodes so adding a node moves as few shards as possible.
Frequently Asked Questions
Is Temporal remote-friendly?
Distributed-first since founding. Hubs in Seattle and SF; most engineers remote across US/Europe.
How does Temporal compare to Airflow or Step Functions?
Airflow is batch DAG-oriented. Step Functions is AWS-only. Temporal is general-purpose code-as-workflow with strong durability semantics. Comp is competitive at senior+ for infrastructure work with meaningful equity.
What is the engineering culture?
Senior-heavy, technically deep, calm but rigorous. Distributed-systems craft is core.
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