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State Auto Insurance Companies Software Engineer Interview Guide

State Auto Insurance Companies Software Engineer interview guide: reported rounds, questions and how candidates describe the process.

The 60-second brief

A Software Engineer at State Auto Insurance Companies plays a crucial role in designing, developing, and maintaining software solutions that enhance the insurance services provided to customers. This position directly impacts the efficiency of operations, the quality of customer interactions, and the overall user experience of various products offered by the company. As part of the engineering team, you will work on a range of applications that support both internal processes and customer-facing services, making your contributions vital to the company’s success. The position demands a balance of technical skills and creative problem-solving capabilities, enabling you to tackle complex challenges in a fast-paced environment.

This guide is scoped to a Software Engineer candidate at State Auto Insurance Companies.

Focus areas

  • Binary Search Trees (BST)
  • Test-Driven Development (TDD)
  • Coding Interviews

The State Auto Insurance Companies interview process

State Auto Insurance Companies candidates report 3 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.

Phone Interview

Engage in a phone interview focused on your background and motivations.

What to demonstrate

  • Engage in a phone interview focused on your background and motivations
  • Depth in Binary Search Trees (BST)

How to prepare

  • Answer aloud and timed: Tell me about a time you faced a significant challenge in a project. How did you overcome it?
  • Answer aloud and timed: Describe a situation where you had to work closely with a team member who had a different working style than you.

Technical Interview

Dive deeper into your coding skills and problem-solving abilities, often involving live coding exercises.

What to demonstrate

  • Dive deeper into your coding skills and problem-solving abilities, often involving live coding exercises
  • Depth in Binary Search Trees (BST)

How to prepare

  • Answer aloud and timed: How do you prioritize tasks when working on multiple projects?
  • Answer aloud and timed: Explain the concept of a Binary Search Tree and provide a coding example.

Final Interviews

Participate in additional interviews with senior team members or managers for in-depth technical discussions and behavioral questions.

What to demonstrate

  • Participate in additional interviews with senior team members or managers for in-depth technical discussions and behavioral questions
  • Depth in Binary Search Trees (BST)

How to prepare

  • Answer aloud and timed: How do you ensure the quality of your code? Can you discuss any testing frameworks you prefer?
  • Answer aloud and timed: Describe the software development lifecycle and your experience with Agile methodologies.

Where candidates lose points

Research the Company

Familiarize yourself with State Auto Insurance Companies’ products, values, and recent developments in the insurance industry.

Practice Coding

Utilize coding platforms to practice common algorithms and data structures, as technical interviews will often include live coding exercises.

Prepare Behavioral Stories

Use the STAR (Situation, Task, Action, Result) method to structure your responses to behavioral questions, ensuring you provide clear and concise examples.

Engage with Your Interviewers

Show enthusiasm for the role and ask thoughtful questions during the interview to demonstrate your interest and engagement.

Questions & practice

Explain the concept of a Binary Search Tree and provide a coding example.

Medium · Technical / Domain Questions

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Write a function to reverse a linked list. Explain your thought process.

Medium · Coding / Algorithms

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

How would you implement a caching mechanism? Discuss the trade-offs involved.

Medium · Coding / Algorithms

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Solve a coding challenge involving sorting algorithms and explain your choice of algorithm.

Medium · Coding / Algorithms

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Hold a per-tenant active cap against concurrent creates

Hard · write skew · isolation levels · constraints

A tenant on the standard plan may hold at most 50 resources with status='active'. The create handler runs SELECT count(*) FROM resource WHERE tenant_id = $1 AND status = 'active', compares to 50, then inserts. Two creates arrive 3 ms apart on different instances and the tenant lands at 51. Name the anomaly, say whether PostgreSQL 16 READ COMMITTED or REPEATABLE READ prevents it and why, then give an implementation that holds the cap at READ COMMITTED with the exact statements. Finally, say what changes when the cap is 'at most one running export per tenant' on job_run.

Approach

  1. Name it: write skew. The two transactions read an overlapping set and write disjoint rows, so there is no row-level conflict for the engine to detect and each commit is individually legal.
  2. Rule out the levels precisely. READ COMMITTED takes a fresh snapshot per statement and takes no lock on the counted rows, so both see 49. PostgreSQL's REPEATABLE READ is snapshot isolation: it removes non-repeatable reads and phantoms within the snapshot but still admits write skew, because the anomaly is not a re-read of a changed row, it is a read of a set that a concurrent transaction invalidates. Only SERIALIZABLE closes it, by tracking the read dependency and aborting one transaction with SQLSTATE 40001 — a guarantee that exists only if the application re-runs the whole transaction from the read.
  3. Convert the set predicate into a single-row conflict: keep tenant.active_resource_count and run UPDATE tenant SET active_resource_count = active_resource_count + 1 WHERE tenant_id = $1 AND active_resource_count < 50 in the same transaction as the INSERT. Zero affected rows is the cap, returned as 409. The row lock serialises the decision at any isolation level, and contention is bounded to one tenant's row — which is also the fair-scheduling unit, unlike a global counter that would convoy every tenant behind one row.
  4. State the cost you just took on: a counter is a second source of truth that can drift, so every path that changes status must adjust it inside the same transaction, and a periodic reconciliation has to exist, with resource_revision as the authority for what the count should have been.

Follow-up

  • A resource moves from archived back to active. Which statements change, and what breaks if the counter update and the status change land in different transactions?
  • The cap becomes plan-dependent and a plan can change mid-month. Where does the number 50 live, and who reads it?

Write the update path that detects a concurrent edit

Medium · optimistic concurrency · transactional outbox · audit history

resource carries version INT NOT NULL DEFAULT 1. resource_revision holds revision_id, resource_id, version, actor_user_id, change_kind, patch JSONB, request_id, created_at with UNIQUE (resource_id, version). outbox_event holds aggregate_type, aggregate_id, aggregate_version, event_type, payload, status. A PUT carries the version the client read. Write the exact statements for the single transaction that applies the edit, records the revision and enqueues 'resource.updated', and give the handler's branch on zero affected rows. Then say what PostgreSQL 16 does under READ COMMITTED when two of these updates hit one row at once.

Approach

  1. One transaction, three writes, no network call inside it: UPDATE resource SET title = $3, version = version + 1, updated_at = now() WHERE resource_id = $1 AND tenant_id = $4 AND version = $2; then INSERT the resource_revision row at version $2 + 1; then INSERT the outbox_event row at the same aggregate_version. The event goes to a table rather than a broker because no transaction spans both.
  2. Branch on the affected-row count before doing anything else. Zero has three causes — stale version, wrong tenant, row gone — so re-read once and map to 409 carrying the current version, or 404 for an id outside the caller's tenant, which also stops the endpoint confirming that another tenant's id exists.
  3. State the engine behaviour instead of assuming it. Under READ COMMITTED the second UPDATE blocks on the row lock, and when the first commits PostgreSQL re-evaluates the WHERE clause against the newly committed row, so the version predicate now fails and the statement reports zero rows. Under REPEATABLE READ the identical collision raises SQLSTATE 40001 instead, so the handler must fold both shapes into one conflict response.
  4. Keep UNIQUE (resource_id, version) even though the predicate already serialises writers. It is what makes a lost update unwritable if any other path ever reaches the revision table, and it converts a logic bug into 23505 rather than into a silently missing history row.

Follow-up

  • A client sends the version it read ten minutes ago and the resource has moved three versions. What is in your 409 so it can resolve the conflict without a full re-fetch?
  • Two editors, two disjoint fields, no overlap. Does your answer still refuse the second write, and should it?

How do you ensure the quality of your code? Can you discuss any testing frameworks you prefer?

Medium · Technical / Domain Questions

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. Work from the requirement backwards to the design.

Follow-up

  • What assumption would you test first?
  • How would you know your answer was wrong?

Given a set of requirements for a new feature, how would you approach the design and implementation?

Medium · Problem-Solving / Case Studies

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

How would you troubleshoot a performance issue in a live application?

Medium · Problem-Solving / Case Studies

Approach

  1. Establish what changed and when, before forming any theory.
  2. Pick a bisection that eliminates candidates whichever way it turns out.
  3. Check the instrumentation before believing the symptom.
  4. Separate the trigger from the cause; the deploy is rarely the bug.

Follow-up

  • What would you look at first, and what would it rule out?
  • How would you tell a cause from a coincidence here?

Suggested practice checklist

Built from the rounds and topics State Auto Insurance Companies candidates report.

Day 1 — Map the State Auto Insurance Companies loop

  • Write out the reported sequence: Phone Interview, Technical Interview, Final Interviews.
  • For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.

Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.

Day 2 — Work Binary Search Trees (BST)

  • Spend the session on Binary Search Trees (BST), which State Auto Insurance Companies candidates report being tested on.
  • Write one worked example in Binary Search Trees (BST) and time yourself on it.

Deliverable: One timed worked example in Binary Search Trees (BST).

Day 3 — Work Test-Driven Development (TDD)

  • Spend the session on Test-Driven Development (TDD), which State Auto Insurance Companies candidates report being tested on.
  • Write one worked example in Test-Driven Development (TDD) and time yourself on it.

Deliverable: One timed worked example in Test-Driven Development (TDD).

Day 4 — Work Coding Interviews

  • Spend the session on Coding Interviews, which State Auto Insurance Companies candidates report being tested on.
  • Write one worked example in Coding Interviews and time yourself on it.

Deliverable: One timed worked example in Coding Interviews.

Day 5 — Answer out loud: Behavioral / Leadership

  • Answer aloud, timed: Tell me about a time you faced a significant challenge in a project. How did you overcome it?
  • Answer aloud, timed: Describe a situation where you had to work closely with a team member who had a different working style than you.

Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.

Day 6 — Answer out loud: Technical / Domain Questions

  • Answer aloud, timed: Explain the concept of a Binary Search Tree and provide a coding example.
  • Answer aloud, timed: How do you ensure the quality of your code? Can you discuss any testing frameworks you prefer?

Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.

Day 7 — Answer out loud: Problem-Solving / Case Studies

  • Answer aloud, timed: Given a set of requirements for a new feature, how would you approach the design and implementation?
  • Answer aloud, timed: How would you troubleshoot a performance issue in a live application?

Deliverable: Spoken answers to 2 reported Problem-Solving / Case Studies question(s), under time.

Behavioural preparation

Behavioural rounds judge the decision you made and what it cost.

Tell me about a time you faced a significant challenge in a project. How did you overcome it?

Medium · Behavioral / Leadership

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Describe a situation where you had to work closely with a team member who had a different working style than y

Medium · Behavioral / Leadership

Describe a situation where you had to work closely with a team member who had a different working style than you.

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

How do you prioritize tasks when working on multiple projects?

Medium · Behavioral / Leadership

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Describe the software development lifecycle and your experience with Agile methodologies.

Medium · Technical / Domain Questions

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?

Provide an example of a time when you had to make a trade-off between quality and speed. What was your decisio

Medium · Problem-Solving / Case Studies

Provide an example of a time when you had to make a trade-off between quality and speed. What was your decision-making process?

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. Name the disagreement and how you resolved it with evidence.

Follow-up

  • What would you do differently if you ran that again?
  • How did you know your change caused the improvement?