As a Software Engineer at Performance Food Group, you will play a pivotal role in shaping the technological backbone of one of the nation's leading foodservice distributors. This position is essential not only for the development of innovative software solutions but also for ensuring that these solutions effectively support the company’s mission to deliver quality food products efficiently. You'll work on critical applications that manage inventory, logistics, and customer interactions, contributing directly to enhanced operational efficiency and customer satisfaction. In this role, you’ll engage with cross-functional teams, including product management and operations, to address complex challenges in a fast-paced environment. You will be involved in the design and development of scalable systems that impact our broad range of products and services. Your work will not only influence the way we operate internally but also improve the experience for our customers, making this a highly strategic and fulfilling position. Expect to tackle intricate problems that require both creativity and technical expertise. The scale and complexity of the projects you'll encounter provide an exciting opportunity to apply your skills in meaningful ways, making your role both critical and interesting within the broader context of. Performance Food Group
Initial Screening
reportedCandidates undergo an initial screening to evaluate their basic qualifications and fit for the role.
What to demonstrate
- Candidates undergo an initial screening to evaluate their basic qualifications and fit for the role
- Depth in Database 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 Assessments
reportedCandidates participate in technical assessments to evaluate their software engineering skills and problem-solving abilities.
What to demonstrate
- Candidates participate in technical assessments to evaluate their software engineering skills and problem-solving abilities
- Depth in Database Design
How to prepare
- Answer aloud and timed: Can you explain the principles of object-oriented programming?
- Answer aloud and timed: What strategies do you use for optimizing application performance?
Behavioral Interviews
reportedCandidates engage in behavioral interviews to assess their interpersonal skills and cultural fit within the company.
What to demonstrate
- Candidates engage in behavioral interviews to assess their interpersonal skills and cultural fit within the company
- Depth in Database 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 interviews above and write down what you would ask to confirm before it.
Team Discussions
reportedCandidates have discussions with team members to further evaluate collaboration and communication skills.
What to demonstrate
- Candidates have discussions with team members to further evaluate collaboration and communication skills
- Depth in Database Design
How to prepare
- Answer aloud and timed: What factors do you consider when designing APIs for a distributed system?
- Answer aloud and timed: Describe how you would implement a microservices architecture for a food delivery application.
PracHub editorial advice for the preparation topics above.
Understand the business
Familiarize yourself with Performance Food Group’s mission, products, and industry landscape. This knowledge will help you contextualize your technical skills during interviews.
Practice coding problems
Regularly solve coding challenges on platforms like LeetCode or HackerRank to sharpen your skills and build confidence.
Engage in mock interviews
Conduct practice interviews with peers to simulate the experience and receive feedback on your performance.
Demonstrate continuous learning
Show your commitment to professional growth by discussing recent projects, courses, or technologies you are exploring.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Write a function to reverse a linked list.
Write a function to reverse a linked list.
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?
Given an array of integers, find two numbers that add up to a specific target.
Given an array of integers, find two numbers that add up to a specific target.
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?
Collapse a redelivered event batch into per-aggregate high-water marks
You drain a batch of up to 5,000,000 events, each (aggregate_id BIGINT, aggregate_version INT, event_type, payload). The log guarantees order within one aggregate only; the batch merges 64 partitions, and a relay failover has redelivered a range, so an older version for an aggregate can appear after a newer one. Given a map of last_applied_version per aggregate, produce the events worth applying, at most one per (aggregate_id, version), plus the count discarded. Target O(n) time. State the memory for 2,000,000 distinct aggregates and what you do when it does not fit.
Approach
- One pass, one hash map from aggregate_id to the highest version kept, and a discard counter. An event whose version is at or below last_applied_version for its aggregate is dropped without further work, which is the whole reason the event carries its version rather than a delta. O(n) expected time, O(d) space in distinct aggregates.
- Keep the maximum, never the last occurrence. The redelivered range means the final appearance of an aggregate in the batch can be an older version than one seen earlier in the same batch, so last-wins applies stale state over newer state and the projection regresses with no error anywhere.
- Cost the memory instead of calling it large: an 8-byte key plus a 4-byte version is 12 bytes of payload, and an open-addressed table held at a 0.7 load factor costs roughly 17 bytes per entry before per-slot metadata, so 2,000,000 aggregates is tens of megabytes in a native layout and several times that in a runtime that boxes both key and value.
- If the distinct set exceeds memory, partition on hash(aggregate_id) mod P and reduce each partition independently. Every event for one aggregate hashes to the same partition, so the per-partition result is exact and the merge is concatenation rather than a second reduction.
Follow-up
- The payload is a patch rather than a snapshot, so applying only the highest version loses the intermediate changes. What changes in your reduction?
- How do you detect that version 7 arrived while version 6 was never delivered, and what should the consumer do about the gap?
Stop tag and share joins from fanning out a page
resource_tag is (resource_id, tag_id) with PK (resource_id, tag_id); resource_share is (resource_id, shared_with_user_id, permission). The tagged-and-shared listing inner-joins resource to both, filters tenant_id, tag_id = ANY($2) and shared_with_user_id = $3, orders by updated_at DESC and takes 50. Pages come back with fewer than 50 distinct resources and the total in the header is far too high. Explain the row multiplication, rewrite both the page query and the count query so each is correct, and name the index each one needs. PostgreSQL 16.
Approach
- Do the arithmetic against the predicates that are actually there. An inner join emits one row per matching child row, and both joins are filtered: tag_id = ANY($2) admits only the requested tags, shared_with_user_id = $3 admits one user's share rows. So a resource holding three of the requested tags and shared with $3 once yields three rows, not one — the multiplier is its count of matching tags times its share rows for that single user, and that second factor is 1 unless the table admits duplicate (resource_id, shared_with_user_id) pairs. LIMIT 50 then limits rows rather than resources, and COUNT(*) counts pairs — the header is the product, not the population.
- Reject DISTINCT as the fix. It deduplicates after the product has been built, so the planner must materialise and sort the fanned-out set before the LIMIT can apply, and it leaves any SUM or AVG in the same select list wrong.
- Rewrite both filters as semi-joins, keeping resource as the only row source: AND EXISTS (SELECT 1 FROM resource_tag rt WHERE rt.resource_id = r.resource_id AND rt.tag_id = ANY($2)) and the same shape against resource_share. A semi-join stops at the first match per resource and preserves the driving index order, so ORDER BY updated_at DESC, resource_id DESC LIMIT 50 still stops after 50 rows.
- Count with the same predicates and no join at all: SELECT count(*) FROM resource r WHERE r.tenant_id = $1 AND r.status = 'active' AND EXISTS (...) AND EXISTS (...). Nothing multiplies a resource, so the number is the population.
Follow-up
- The filter changes from 'any of these tags' to 'all of these tags'. Rewrite it and state what it costs relative to the ANY form.
- A resource can be shared with the same user twice under different permissions. Does your count change, and should it?
Explain why the owner filter ignores the listing index
The only index on resource is (tenant_id, status, updated_at DESC, resource_id DESC). A new endpoint returns one user's resources across all statuses, newest created first: WHERE tenant_id = $1 AND owner_user_id = $2 ORDER BY created_at DESC LIMIT 20. On a tenant with 2M rows it takes 900 ms and EXPLAIN shows a sort above a large scan. Explain precisely why the existing index cannot serve it, give the index that can, and state which of these the new index still will not help: owner_user_id alone across tenants; the same query ordered by updated_at. PostgreSQL 16.
Approach
- Separate the two jobs an index does. For filtering, a composite btree is seekable only on a left prefix, so with no predicate on status the scan can at best range over tenant_id and test owner_user_id per row; PostgreSQL 16 has no btree skip scan to jump the unconstrained column.
- For ordering, the index is sorted by (status, updated_at) within a tenant and not by created_at, so the LIMIT cannot stop early: every matching row is read and then sorted. That is the 'Sort Method: top-N heapsort' line, and it is why the plan reads 2M rows to answer with 20.
- Derive the replacement from the access path — equality, equality, then the ordering column: CREATE INDEX CONCURRENTLY ON resource (tenant_id, owner_user_id, created_at DESC). The scan seeks to the (tenant, owner) range and walks 20 entries in order, so the Sort node disappears along with the row-read.
- Treat INCLUDE (title, status) as conditional, not free. An index-only scan still visits the heap for any row whose page is not marked all-visible, so on a table taking 1.2k writes/second the win depends on autovacuum keeping the visibility map current, and the wider index costs more on every insert.
Follow-up
- 90% of rows are status='active'. Would a partial index WHERE status = 'active' change your answer, and for which of the three queries?
- A dashboard runs this for 40 owners in one page load. What changes about the design?
What are the key considerations in database design?
What are the key considerations in database design?
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 principles of object-oriented programming?
Can you explain the principles of object-oriented programming?
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 strategies do you use for optimizing application performance?
What strategies do you use for optimizing application performance?
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 technical problem you solved in a previous project.
Describe a challenging technical problem you solved in a previous project.
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 system to manage real-time inventory tracking?
How would you design a system to manage real-time inventory tracking?
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?
What factors do you consider when designing APIs for a distributed system?
What factors do you consider when designing APIs for a distributed system?
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?
Describe how you would implement a microservices architecture for a food delivery application.
Describe how you would implement a microservices architecture for a food delivery 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?
If a key application goes down, what steps would you take to diagnose and resolve the issue?
If a key application goes down, what steps would you take to diagnose and resolve the issue?
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 approach debugging and troubleshooting in your applications?
How do you approach debugging and troubleshooting in your applications?
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 Performance Food Group candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Performance Food Group loop
- Write out the reported sequence: Initial Screening, Technical Assessments, Behavioral Interviews, Team Discussions.
- 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 Database Design
- Spend the session on Database Design, which Performance Food Group candidates report being tested on.
- Write one worked example in Database Design and time yourself on it.
Deliverable: One timed worked example in Database Design.
03Work Schema Design
- Spend the session on Schema Design, which Performance Food Group candidates report being tested on.
- Write one worked example in Schema Design and time yourself on it.
Deliverable: One timed worked example in Schema Design.
04Work Data Modeling
- Spend the session on Data Modeling, which Performance Food Group candidates report being tested on.
- Write one worked example in Data Modeling and time yourself on it.
Deliverable: One timed worked example in Data Modeling.
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: What are the key considerations in database design?
- Answer aloud, timed: How do you approach debugging and troubleshooting in your applications?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: System Design / Architecture
- Answer aloud, timed: How would you design a system to manage real-time inventory tracking?
- Answer aloud, timed: What factors do you consider when designing APIs for a distributed system?
Deliverable: Spoken answers to 2 reported System Design / Architecture question(s), under time.
07Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Can you share an example of a time when you had to work with a difficult team member?
- Answer aloud, timed: Describe a situation where you took the lead on a project. What was the outcome?
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.
Can you share an example of a time when you had to work with a difficult team member?
Can you share an example of a time when you had to work with a difficult team member?
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 took the lead on a project. What was the outcome?
Describe a situation where you took the lead on a project. What was the outcome?
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 managing multiple projects?
How do you prioritize tasks when managing 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?
How would you handle conflicting requirements from stakeholders?
How would you handle conflicting requirements from stakeholders?
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
Can you share an example of a time when you had to work with a difficult team member?
- 02
Describe a situation where you took the lead on a project. What was the outcome?
- 03
How do you prioritize tasks when managing multiple projects?
- 04
How would you handle conflicting requirements from stakeholders?
How difficult are the interviews, and how much preparation time is typical?
The difficulty level is moderate, with a balanced focus on technical and behavioral assessments. Candidates generally spend 1-3 weeks preparing, depending on their familiarity with the required technologies.
Performance Food Group Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates demonstrate a strong technical foundation, effective problem-solving skills, and an ability to communicate clearly. They also align well with the company's culture and values.
Performance Food Group Software Engineer candidate reports ↗What is the culture and working style at Performance Food Group?
The culture emphasizes collaboration, efficiency, and customer focus. Engineers are encouraged to take initiative and contribute ideas while working closely with cross-functional teams.
Performance Food Group Software Engineer candidate reports ↗What is the typical timeline from the initial screen to an offer?
The process usually takes 4-6 weeks, depending on scheduling and the number of interview rounds.
Performance Food Group Software Engineer candidate reports ↗Are there remote work or hybrid expectations?
Performance Food Group offers flexible work arrangements, including hybrid options, depending on team needs and individual performance.
Performance Food Group Software Engineer candidate reports ↗What topics does Performance Food Group test in interviews?
Performance Food Group interviews most often cover Behavioral Interviewing, Communication Skills, Requirements Gathering, Problem Solving, and Process Improvement. The exact emphasis depends on the specific role you apply for.
Performance Food Group 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.
- 01Performance Food Group 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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