Interview guides · Codoxo
Codoxo Software Engineer Interview Guide
Codoxo Software Engineer interview guide: reported rounds, questions and how candidates describe the process.
The 60-second brief
A Software Engineer at Codoxo plays a pivotal role in developing innovative software solutions that streamline healthcare processes and enhance patient outcomes. This position is crucial as it directly impacts the efficiency of healthcare systems through the creation of scalable, reliable, and secure applications. As a member of a dynamic engineering team, you will contribute to projects that utilize cutting-edge technologies to solve complex problems, making a tangible difference in the healthcare landscape. Your work as a Software Engineer will involve collaborating with cross-functional teams, including product management and data science, to design and implement features that improve user experience and operational effectiveness.
This guide is scoped to a Software Engineer candidate at Codoxo.
Focus areas
- JavaScript (JS)
- Database Fundamentals
- Technical Interviewing
The Codoxo interview process
Codoxo candidates report 3 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.
Initial Screening
An initial screening with HR to assess basic qualifications and fit for the role.
What to demonstrate
- An initial screening with HR to assess basic qualifications and fit for the role
- Depth in JavaScript (JS)
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 Assessments
Technical assessments to evaluate your technical skills and problem-solving abilities.
What to demonstrate
- Technical assessments to evaluate your technical skills and problem-solving abilities
- Depth in JavaScript (JS)
How to prepare
- Answer aloud and timed: How do you ensure code quality and maintainability?
- Answer aloud and timed: Describe a challenging bug you encountered and how you resolved it.
Behavioral Interviews
Behavioral interviews with team members and senior leadership to assess cultural fit and collaboration skills.
What to demonstrate
- Behavioral interviews with team members and senior leadership to assess cultural fit and collaboration skills
- Depth in JavaScript (JS)
How to prepare
- Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
- Re-read the description of the behavioral interviews above and write down what you would ask to confirm before it.
Where candidates lose points
Prepare Your Story
Be ready to discuss your journey as a software engineer, highlighting key projects and learnings that align with Codoxo's mission.
Practice Coding
Use platforms like LeetCode or HackerRank to brush up on coding challenges and algorithms that are relevant to the role.
Engage with the Community
Familiarize yourself with healthcare technology trends and challenges to demonstrate your interest and knowledge during interviews.
Ask Insightful Questions
Prepare thoughtful questions for your interviewers that reflect your understanding of the company and the role.
Questions & practice
Write a function to reverse a linked list.
Medium · Coding / Algorithms
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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 find the longest substring without repeating characters?
Medium · Coding / Algorithms
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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 problem using dynamic programming.
Medium · Coding / Algorithms
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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?
Keep soft-deleted accounts from blocking re-registration
Easy · soft delete · unique constraints · engine differences
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
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
- 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.
- 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.
- 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.
- 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?
What are the key principles of object-oriented programming?
Medium · Technical / Domain Questions
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Can you explain the differences between REST and SOAP APIs?
Medium · Technical / Domain Questions
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- 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 code quality and maintainability?
Medium · Technical / Domain Questions
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Describe a challenging bug you encountered and how you resolved it.
Medium · Technical / Domain Questions
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
What experience do you have with cloud services, such as AWS or Azure?
Medium · Technical / Domain Questions
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you design a scalable system for managing patient records?
Medium · Problem-Solving / Case Studies
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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?
If you were tasked with improving application response time, what steps would you take?
Medium · Problem-Solving / Case Studies
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Present a solution to a common healthcare software problem.
Medium · Problem-Solving / Case Studies
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Listing latency scales with page size, not with filters
Easy · n+1 · latency · query batching
The tenant listing endpoint reads resource filtered by tenant_id and status, ordered by updated_at DESC, and returns each row plus the owner's display name from app_user and the actor of that resource's latest resource_revision. p99 is 55 ms at 10 rows per page and 1.4 s at 200. Database telemetry shows 401 statements per request, each under 1 ms, and nothing in the slow-query log. Diagnose the cause and give the fix, stating the statement count per request and the p99 you expect afterwards.
Approach
- Read the counters before forming a theory. 401 statements for 200 rows is one driver query plus two per row, and sub-millisecond execution with an empty slow-query log rules out a bad plan. The time is round trips, which is why it is invisible in every per-query metric and scales with rows returned rather than with filter selectivity.
- Name the two per-row statements from their normalised text: a single-row app_user lookup by user_id, and a resource_revision lookup by resource_id ordered by version DESC LIMIT 1. Confirm by dropping those two response fields and watching the statement count fall to one. That locates the calls in the serialisation layer, not the repository.
- Check that the arithmetic accounts for the whole gap. Measure one round trip to the replica in isolation; 400 trips at roughly 3 ms of network plus 0.2 ms of execution is about 1.3 s on top of a 55 ms baseline, which matches. If the multiplication had fallen short, the N+1 would only be part of the story and you would keep looking.
- Batch both lookups. Collect owner_user_ids and resource_ids from the driver query, then issue WHERE tenant_id = $1 AND user_id = ANY($2) for the users, and PostgreSQL's SELECT DISTINCT ON (resource_id) ... WHERE resource_id = ANY($2) ORDER BY resource_id, version DESC for the latest revision, which the UNIQUE (resource_id, version) index serves directly. On an engine without DISTINCT ON, use a lateral join or a row_number window. Three statements per request at any page size.
Follow-up
- The page size is capped at 200 today. What breaks first if it is raised to 2,000, and is it still this bug?
- How do you stop the next N+1 from reaching production, given that no individual query is slow and the endpoint's tests pass?
Suggested practice checklist
Built from the rounds and topics Codoxo candidates report.
Day 1 — Map the Codoxo loop
- Write out the reported sequence: Initial Screening, Technical Assessments, Behavioral 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 JavaScript (JS)
- Spend the session on JavaScript (JS), which Codoxo candidates report being tested on.
- Write one worked example in JavaScript (JS) and time yourself on it.
Deliverable: One timed worked example in JavaScript (JS).
Day 3 — Work Database Fundamentals
- Spend the session on Database Fundamentals, which Codoxo candidates report being tested on.
- Write one worked example in Database Fundamentals and time yourself on it.
Deliverable: One timed worked example in Database Fundamentals.
Day 4 — Work Technical Interviewing
- Spend the session on Technical Interviewing, which Codoxo candidates report being tested on.
- Write one worked example in Technical Interviewing and time yourself on it.
Deliverable: One timed worked example in Technical Interviewing.
Day 5 — Answer out loud: Technical / Domain Questions
- Answer aloud, timed: What are the key principles of object-oriented programming?
- Answer aloud, timed: Can you explain the differences between REST and SOAP APIs?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
Day 6 — Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a time when you had to work with a difficult team member. How did you handle it?
- Answer aloud, timed: What motivates you as a software engineer?
Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.
Day 7 — Answer out loud: Problem-Solving / Case Studies
- Answer aloud, timed: How would you design a scalable system for managing patient records?
- Answer aloud, timed: If you were tasked with improving application response time, what steps would you take?
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.
Describe a time when you had to work with a difficult team member. How did you handle it?
Medium · Behavioral / Leadership
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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?
What motivates you as a software engineer?
Medium · Behavioral / Leadership
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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?
Tell me about a successful project you led. What was your approach?
Medium · Behavioral / Leadership
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 faced with multiple deadlines?
Medium · Behavioral / Leadership
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 learn a new technology quickly.
Medium · Behavioral / Leadership
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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?