SeekOut Software Engineer Interview Guide

The 60-second brief

As a Software Engineer at SeekOut, you are at the core of building a platform that transforms how organizations discover, engage, and retain talent. You will be responsible for developing scalable, high-performance systems that parse and analyze massive datasets, providing recruiters with actionable insights and deep candidate intelligence. Your work directly impacts the efficiency of global recruiting teams, making this a role where engineering rigor meets real-world human impact. The environment at SeekOut is one where technical complexity meets rapid product evolution. You will work across the stack to solve challenges related to data processing, search architecture, and user-facing features. The role demands more than just coding ability; it requires a mindset focused on product stability and a genuine curiosity about the talent technology landscape.

This guide is scoped to a Software Engineer candidate at SeekOut.

Focus areas

• System Design
• Coding skills (general)
• Live coding interviews

The SeekOut interview process

SeekOut candidates report 4 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.

Recruiter Screen

Initial screening call with a recruiter to assess qualifications and fit for the role.

What to demonstrate

• Initial screening call with a recruiter to assess qualifications and fit for the role
• Depth in System Design

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.

Technical Deep Dives

Series of interviews focused on technical skills, including coding and system design.

What to demonstrate

• Series of interviews focused on technical skills
• Including coding and system design

How to prepare

• Answer aloud and timed: How would you handle concurrency issues in a high-traffic environment?
• Answer aloud and timed: Solve a classic LeetCode medium-difficulty problem involving arrays or hash maps.

Cultural Fit Assessment

Evaluation of how well the candidate aligns with the company's values and culture.

What to demonstrate

• Evaluation of how well the candidate aligns with the company's values and culture
• Depth in System Design

How to prepare

• Answer aloud and timed: Explain the time and space complexity of your solution during the coding exercise.
• Answer aloud and timed: Design a URL shortening service or a scalable search indexing system.

Final Evaluations

Final technical and behavioral evaluations to determine overall fit for the team.

What to demonstrate

• Final technical and behavioral evaluations to determine overall fit for the team
• Depth in System Design

How to prepare

• Answer aloud and timed: How would you architect a database schema for a talent-matching platform?
• Answer aloud and timed: Describe the trade-offs between SQL and NoSQL databases for a specific use case.

Where candidates lose points

Prioritize clarity

In technical rounds, talk through your thought process out loud. Interviewers care more about how you solve a problem than finding the "perfect" code instantly.

Ask questions

At the end of every round, have 2–3 thoughtful questions prepared about the team's tech stack, current challenges, or the company’s roadmap.

Be prepared for nuance

Some interview questions might be open-ended or slightly ambiguous. Ask clarifying questions to narrow down the scope before you start coding.

Maintain your pace

If the process feels slow, stay patient but professional. Send polite follow-ups to your recruiter if you haven't heard back within the promised timeframe.

Questions & practice

Implement a function to reverse a linked list or perform a tree traversal.

Medium · Technical 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?

Given a dataset, optimize a search algorithm to reduce latency.

Medium · Technical 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 handle concurrency issues in a high-traffic environment?

Medium · Technical Coding & Algorithms

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?

Solve a classic LeetCode medium-difficulty problem involving arrays or hash maps.

Medium · Technical 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?

Explain the time and space complexity of your solution during the coding exercise.

Medium · Technical 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?

Describe the trade-offs between SQL and NoSQL databases for a specific use case.

Medium · System Design & Architecture

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?

Design a URL shortening service or a scalable search indexing system.

Medium · System Design & 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?

How would you architect a database schema for a talent-matching platform?

Medium · System Design & 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?

How do you ensure high availability and fault tolerance in your service?

Medium · System Design & 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?

Walk through the lifecycle of a request from the user interface to the backend database.

Medium · System Design & 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?

Describe a situation where you had to debug a critical issue in production under pressure.

Medium · Behavioral & Cultural Alignment

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 SeekOut candidates report.

Day 1 — Map the SeekOut loop

• Write out the reported sequence: Recruiter Screen, Technical Deep Dives, Cultural Fit Assessment, Final Evaluations.
• 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 4 reported rounds, with the weakest marked.

Day 2 — Work System Design

• Spend the session on System Design, which SeekOut candidates report being tested on.
• Write one worked example in System Design and time yourself on it.

Deliverable: One timed worked example in System Design.

Day 3 — Work Coding skills (general)

• Spend the session on Coding skills (general), which SeekOut candidates report being tested on.
• Write one worked example in Coding skills (general) and time yourself on it.

Deliverable: One timed worked example in Coding skills (general).

Day 4 — Work Live coding interviews

• Spend the session on Live coding interviews, which SeekOut candidates report being tested on.
• Write one worked example in Live coding interviews and time yourself on it.

Deliverable: One timed worked example in Live coding interviews.

Day 5 — Answer out loud: Technical Coding & Algorithms

• Answer aloud, timed: Implement a function to reverse a linked list or perform a tree traversal.
• Answer aloud, timed: Given a dataset, optimize a search algorithm to reduce latency.

Deliverable: Spoken answers to 2 reported Technical Coding & Algorithms question(s), under time.

Day 6 — Answer out loud: System Design & Architecture

• Answer aloud, timed: Design a URL shortening service or a scalable search indexing system.
• Answer aloud, timed: How would you architect a database schema for a talent-matching platform?

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

Day 7 — Answer out loud: Behavioral & Cultural Alignment

• Answer aloud, timed: Tell me about a time you had a technical disagreement with a teammate; how did you resolve it?
• Answer aloud, timed: Describe a challenging project you owned from start to finish.

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

Behavioural preparation

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

Tell me about a time you had a technical disagreement with a teammate; how did you resolve it?

Medium · Behavioral & Cultural Alignment

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 challenging project you owned from start to finish.

Medium · Behavioral & Cultural Alignment

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?

Why are you interested in the talent intelligence space?

Medium · Behavioral & Cultural Alignment

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 handle feedback, especially when it concerns your technical approach?

Medium · Behavioral & Cultural Alignment

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?