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Selectquote Insurance Services Software Engineer Interview Guide

Selectquote Insurance Services Software Engineer interview guide: reported rounds, questions and how candidates describe the process.

The 60-second brief

As a Software Engineer at Selectquote Insurance Services, you will play a pivotal role in designing, building, and maintaining the highly scalable systems that power one of the United States' premier technology-enabled insurance distributors. The technology team is responsible for developing the core systems that ingest, route, and process millions of customer inquiries and insurance quotes daily. Your work directly impacts the company’s ability to connect consumers with top-rated insurance carriers in real-time, making your contributions central to the organization's revenue and operational efficiency. The engineering team at Selectquote Insurance Services focuses heavily on building robust APIs, integrating complex third-party carrier systems, and optimizing data pipelines to support sales agents and digital consumer portals.

This guide is scoped to a Software Engineer candidate at Selectquote Insurance Services.

Focus areas

  • Technical Interview Formats (Coding/Problem-Solving)
  • Recruiter Screening (Technical/HR Screen)
  • Problem Solving (General)

The Selectquote Insurance Services interview process

Selectquote Insurance Services candidates report 2 rounds over 2-4 weeks. The stages below are what candidates describe, not a published process.

Phone Screen

Brief introductory call with a recruiter to discuss your background, career goals, and alignment with the role.

What to demonstrate

  • Brief introductory call with a recruiter to discuss your background, career goals, and alignment with the role
  • Depth in Technical Interview Formats (Coding/Problem-Solving)

How to prepare

  • Be able to walk your CV end to end in two minutes, and say why this company specifically.
  • Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.

Panel Interview

Comprehensive technical and behavioral panel interview with hiring managers and lead developers focusing on past projects and technical decision-making.

What to demonstrate

  • Comprehensive technical and behavioral panel interview with hiring managers and lead developers focusing on past projects and technical decision-making
  • Depth in Technical Interview Formats (Coding/Problem-Solving)

How to prepare

  • Answer aloud and timed: Describe a scenario where you had to optimize a slow-performing database query. What was your approach, and what were the results?
  • Answer aloud and timed: How do you ensure data consistency across distributed systems when processing customer transactions?

Where candidates lose points

Master your resume details

Be prepared to explain every technical decision, architecture choice, and line of technology listed on your resume. Interviewers will use your past work as the primary launchpad for technical deep-dives.

Be prepared to walk through your resume in detail

Interviewers often use your past projects as the primary framework for technical questions rather than abstract whiteboard challenges.

Emphasize database and data design

Given the data-intensive nature of the insurance business, showing strong proficiency in SQL, schema design, and query optimization will immediately set you apart as a strong candidate.

Questions & practice

Walk me through your preferred object-oriented programming language. What are its strengths and weaknesses in

Medium · Software Engineering Principles & Langua

Walk me through your preferred object-oriented programming language. What are its strengths and weaknesses in a high-concurrency environment?

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

How do you approach writing unit tests for complex business logic?

Medium · Software Engineering Principles & Langua

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

What is your strategy for managing technical debt while still meeting tight product deadlines?

Medium · Software Engineering Principles & Langua

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

Explain the difference between synchronous and asynchronous processing, and when you would choose one over the

Medium · Software Engineering Principles & Langua

Explain the difference between synchronous and asynchronous processing, and when you would choose one over the other in a web application.

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

Describe a scenario where you had to optimize a slow-performing database query. What was your approach, and wh

Medium · System Design & Data Architecture

Describe a scenario where you had to optimize a slow-performing database query. What was your approach, and what were the results?

Approach

  1. Name the grain you start from and join outward from it.
  2. Check whether any join is one-to-many before aggregating, or the sums inflate.
  3. Say which index the query would use, and what makes it unusable.
  4. Handle the rows that do not match: that is usually the actual question.

Follow-up

  • How does the query change if that join becomes one-to-many?
  • What happens to this when the table is ten times larger?

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?

How do you design a database schema to handle high-volume transactional data with minimal latency?

Medium · System Design & Data Architecture

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?

Explain how you would structure an API integration with an external partner that has unreliable uptime.

Medium · System Design & Data Architecture

Approach

  1. Say who the caller is and what they do when the call fails halfway.
  2. Define the identity of a request so a retry cannot double-apply it.
  3. Separate accepted, pending, failed and confirmed; they are different facts.
  4. Design the error taxonomy before the success shape; callers branch on it.

Follow-up

  • What happens if the caller retries after a timeout?
  • How does a client discover it is on an old version of this contract?

How do you ensure data consistency across distributed systems when processing customer transactions?

Medium · System Design & Data Architecture

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?

Read latency spikes on a sixty-second sawtooth

Medium · cache stampede · single-flight · ttl

The cached listing read path serves about 14k reads/second at an 85% hit rate. p99 sits at 35 ms for 57 seconds, jumps to 900 ms for 3, and repeats. During each spike the primary shows several hundred identical listing queries starting within the same millisecond, all carrying one large tenant's id. Cache entries use a 60-second TTL. Give the mechanism, the ordered checks, the fix, and the correctness hazard your fix must not introduce.

Approach

  1. Match the period to a configured number before theorising about load. A spike every 60 seconds against a 60-second TTL is an entry expiring, and you confirm it by correlating spike timestamps with the entry's write time rather than with the traffic curve. If the period had matched a cron or a GC interval instead, this is a different investigation.
  2. Establish the concurrency of the miss. Several hundred identical queries in one millisecond means the miss path has no coalescing: every request that arrives between expiry and repopulation recomputes. The herd size is that key's arrival rate times its recompute time, so at 1.2k reads/second for the hot key and a 250 ms recompute you expect about 300 concurrent misses, which matches what is observed.
  3. Add single-flight on the miss path so one caller per key recomputes under a short-lived lock while the rest wait for its result. Prefer stale-while-revalidate where the read tolerates it: return the expired value immediately and refresh asynchronously, which removes the latency spike rather than serialising it into a queue of waiters.
  4. De-synchronise the keys. Write TTLs with jitter, for example 60 seconds plus or minus 10%, so a deploy or a mass invalidation does not align every key on the same second and turn a per-key herd into a fleet-wide one.

Follow-up

  • The same sawtooth appears on a key that is invalidated on write rather than expired. Is that the same bug?
  • How does your answer change if the recompute takes 4 seconds instead of 250 ms?

Suggested practice checklist

Built from the rounds and topics Selectquote Insurance Services candidates report.

Day 1 — Map the Selectquote Insurance Services loop

  • Write out the reported sequence: Phone Screen, Panel Interview.
  • 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 2 reported rounds, with the weakest marked.

Day 2 — Work Technical Interview Formats (Coding/Problem-Solving)

  • Spend the session on Technical Interview Formats (Coding/Problem-Solving), which Selectquote Insurance Services candidates report being tested on.
  • Write one worked example in Technical Interview Formats (Coding/Problem-Solving) and time yourself on it.

Deliverable: One timed worked example in Technical Interview Formats (Coding/Problem-Solving).

Day 3 — Work Recruiter Screening (Technical/HR Screen)

  • Spend the session on Recruiter Screening (Technical/HR Screen), which Selectquote Insurance Services candidates report being tested on.
  • Write one worked example in Recruiter Screening (Technical/HR Screen) and time yourself on it.

Deliverable: One timed worked example in Recruiter Screening (Technical/HR Screen).

Day 4 — Work Problem Solving (General)

  • Spend the session on Problem Solving (General), which Selectquote Insurance Services candidates report being tested on.
  • Write one worked example in Problem Solving (General) and time yourself on it.

Deliverable: One timed worked example in Problem Solving (General).

Day 5 — Answer out loud: System Design & Data Architecture

  • Answer aloud, timed: How do you design a database schema to handle high-volume transactional data with minimal latency?
  • Answer aloud, timed: Explain how you would structure an API integration with an external partner that has unreliable uptime.

Deliverable: Spoken answers to 2 reported System Design & Data Architecture question(s), under time.

Day 6 — Answer out loud: Software Engineering Principles & Language Proficiency

  • Answer aloud, timed: Walk me through your preferred object-oriented programming language. What are its strengths and weaknesses in a high-concurrency environment?
  • Answer aloud, timed: How do you approach writing unit tests for complex business logic?

Deliverable: Spoken answers to 2 reported Software Engineering Principles & Language Proficiency question(s), under time.

Day 7 — Answer out loud: Behavioral & Professional Experience

  • Answer aloud, timed: Tell me about a time when you had to quickly learn a new technology or domain to complete a project.
  • Answer aloud, timed: Describe a situation where you had a disagreement with a technical lead or product manager. How did you resolve it?

Deliverable: Spoken answers to 2 reported Behavioral & Professional Experience question(s), under time.

Behavioural preparation

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

Tell me about a time when you had to quickly learn a new technology or domain to complete a project.

Medium · Behavioral & Professional Experience

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 a disagreement with a technical lead or product manager. How did you resolv

Medium · Behavioral & Professional Experience

Describe a situation where you had a disagreement with a technical lead or product manager. How did you resolve it?

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?

Walk me through a complex technical project you led or heavily contributed to. What were the major challenges,

Medium · Behavioral & Professional Experience

Walk me through a complex technical project you led or heavily contributed to. What were the major challenges, and how did you overcome them?

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 your tasks when working on multiple high-priority deliverables simultaneously?

Medium · Behavioral & Professional Experience

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?