As a Software Engineer at FloSports, you play a vital role in shaping the future of sports broadcasting and digital content delivery. This position is critical in developing robust, scalable, and high-performance software solutions that enhance the user experience for sports fans across various platforms. Your work contributes directly to products that enable live streaming, on-demand content, and interactive features, impacting millions of users who rely on FloSports for their sports entertainment. In this position, you will engage with innovative technologies and collaborate with cross-functional teams—ranging from product management to design and operations—to solve complex challenges in real-time. The work you do will not only drive the company’s growth but also push the boundaries of how sports are consumed in the digital age, making this role both exciting and strategically significant within the organization.
Phone Screen
reportedInitial call with HR to assess basic qualifications and fit.
What to demonstrate
- Initial call with HR to assess basic qualifications and fit
- Depth in REST API 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 Interview
reportedInterview that may include coding challenges and system design questions.
What to demonstrate
- Interview that may include coding challenges and system design questions
- Depth in REST API Design
How to prepare
- Answer aloud and timed: Describe your experience with RESTful APIs and how you would implement one.
- Answer aloud and timed: How do you ensure the security of your code?
Behavioral Interview
reportedInterview with team members or managers focusing on cultural fit and collaboration.
What to demonstrate
- Interview with team members or managers focusing on cultural fit and collaboration
- Depth in REST API Design
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 interview above and write down what you would ask to confirm before it.
Design Interview
reportedPossible interview focused on architecture and scalability.
What to demonstrate
- Possible interview focused on architecture and scalability
- Depth in REST API Design
How to prepare
- Answer aloud and timed: What considerations do you make for caching and data storage in a high-traffic application?
- Answer aloud and timed: How would you design a system to handle live stream interruptions?
PracHub editorial advice for the preparation topics above.
Prepare for Technical Depth
Be ready to dive deep into your technical knowledge, especially for system design and architecture questions.
Communicate Clearly
Practice articulating your thoughts as you solve coding problems; clarity in communication is valued.
Show Enthusiasm for Sports
Your interest in sports can help you resonate with the team and demonstrate your cultural fit.
Negotiate Offers
Be prepared to discuss compensation and benefits; don't hesitate to negotiate to ensure you receive a fair offer.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Can you explain how you would optimize a specific algorithm?
Can you explain how you would optimize a specific algorithm?
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 the following LeetCode problem: [insert specific problem].
Solve the following LeetCode problem: [insert specific problem].
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 optimize the performance of a sorting algorithm?
How would you optimize the performance of a sorting algorithm?
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?
Can you write a function to find duplicates in an array?
Can you write a function to find duplicates in an array?
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?
Explain the differences between depth-first and breadth-first search.
Explain the differences between depth-first and breadth-first search.
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?
Hold a per-tenant active cap against concurrent creates
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
- 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.
- 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.
- 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.
- 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?
Keep soft-deleted accounts from blocking re-registration
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?
What programming languages are you most comfortable with, and why?
What programming languages are you most comfortable with, and why?
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 do you ensure the security of your code?
How do you ensure the security of your code?
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?
Design a REST API for a sports event scheduling application.
Design a REST API for a sports event scheduling application.
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?
What considerations do you make for caching and data storage in a high-traffic application?
What considerations do you make for caching and data storage in a high-traffic application?
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?
How would you design a system to handle live stream interruptions?
How would you design a system to handle live stream interruptions?
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?
Discuss the trade-offs between microservices and monolithic architectures.
Discuss the trade-offs between microservices and monolithic architectures.
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?
How do you approach scalability when designing a new feature?
How do you approach scalability when designing a new feature?
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?
Walk me through your thought process in solving a complex coding problem.
Walk me through your thought process in solving a complex coding problem.
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 approach a scenario where a critical system is down?
How would you approach a scenario where a critical system is down?
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?
Discuss a case where you had to make a difficult trade-off. What factors did you consider?
Discuss a case where you had to make a difficult trade-off. What factors did you consider?
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 do you stay updated on industry trends and technologies?
How do you stay updated on industry trends and technologies?
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 is your approach to debugging complex issues?
What is your approach to debugging complex issues?
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- 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?
Built from the rounds and topics FloSports candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the FloSports loop
- Write out the reported sequence: Phone Screen, Technical Interview, Behavioral Interview, Design 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 4 reported rounds, with the weakest marked.
02Work REST API Design
- Spend the session on REST API Design, which FloSports candidates report being tested on.
- Write one worked example in REST API Design and time yourself on it.
Deliverable: One timed worked example in REST API Design.
03Work Scalability
- Spend the session on Scalability, which FloSports candidates report being tested on.
- Write one worked example in Scalability and time yourself on it.
Deliverable: One timed worked example in Scalability.
04Work System Design (Small Systems)
- Spend the session on System Design (Small Systems), which FloSports candidates report being tested on.
- Write one worked example in System Design (Small Systems) and time yourself on it.
Deliverable: One timed worked example in System Design (Small Systems).
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: What programming languages are you most comfortable with, and why?
- Answer aloud, timed: Can you explain how you would optimize a specific algorithm?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: System Design / Architecture
- Answer aloud, timed: Design a REST API for a sports event scheduling application.
- Answer aloud, timed: What considerations do you make for caching and data storage in a high-traffic application?
Deliverable: Spoken answers to 2 reported System Design / Architecture question(s), under time.
07Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a time when you faced a significant challenge in a project. How did you overcome it?
- Answer aloud, timed: How do you prioritize tasks when working on multiple projects?
Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
Describe your experience with RESTful APIs and how you would implement one.
Describe your experience with RESTful APIs and how you would implement one.
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 time when you faced a significant challenge in a project. How did you overcome it?
Describe a time when you faced a significant challenge in a project. How did you overcome it?
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 working on multiple projects?
How do you prioritize tasks when working on multiple projects?
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?
Can you give an example of how you’ve worked effectively in a team?
Can you give an example of how you’ve worked effectively in a team?
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 to perform well in your job?
What motivates you to perform well in your job?
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 handle feedback and criticism?
How do you handle feedback and criticism?
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?
- 01
Describe your experience with RESTful APIs and how you would implement one.
- 02
Describe a time when you faced a significant challenge in a project. How did you overcome it?
- 03
How do you prioritize tasks when working on multiple projects?
- 04
Can you give an example of how you’ve worked effectively in a team?
How difficult is the interview process at FloSports?
The interview process is moderately challenging, with a mix of technical and behavioral questions. Candidates should prepare thoroughly, especially in system design and coding.
FloSports Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates demonstrate strong technical skills, effective communication, and a passion for sports. They also align well with the company's culture and values.
FloSports Software Engineer candidate reports ↗What is the typical timeline from the initial screen to offer?
The timeline can vary, but candidates generally receive feedback within a few weeks after completing their interviews.
FloSports Software Engineer candidate reports ↗What is the work culture like at FloSports?
The culture at FloSports promotes collaboration, innovation, and a shared passion for sports. Team members are encouraged to contribute ideas and work together to solve problems.
FloSports Software Engineer candidate reports ↗Are there remote work options available?
FloSports offers flexible work arrangements, including remote and hybrid work options, depending on team needs and individual preferences.
FloSports Software Engineer candidate reports ↗What topics does FloSports test in interviews?
FloSports interviews most often cover REST API Design, UX/UI Design, Scalability, System Design (Small Systems), and User Experience (UX) Principles. The exact emphasis depends on the specific role you apply for.
FloSports Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01FloSports Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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