Interview guides · Hubbell
Hubbell Software Engineer Interview Guide
Hubbell Software Engineer interview guide: reported rounds, questions and how candidates describe the process.
The 60-second brief
As a Software Engineer at Hubbell, you play a pivotal role in advancing the company’s mission of creating innovative electrical and electronic products. This position is essential for developing software solutions that enhance the performance and reliability of Hubbell's diverse product lines. You will work on a variety of projects that address real-world challenges, from optimizing manufacturing processes to enabling smart technology integration in electrical systems. The impact of this role extends beyond just writing code; you will collaborate closely with cross-functional teams, including product management, engineering, and operations, to deliver software that meets the needs of users and supports business objectives. You will be involved in designing, implementing, and maintaining software applications that drive efficiency and innovation across Hubbell's extensive portfolio.
This guide is scoped to a Software Engineer candidate at Hubbell.
Focus areas
- Technical Interviewing
- Object-Oriented Design (OOD)
- Class Design / Modeling
The Hubbell interview process
Hubbell candidates report 4 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.
Phone Screening
Initial phone screening with HR to assess candidate fit.
What to demonstrate
- Initial phone screening with HR to assess candidate fit
- Depth in Technical Interviewing
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 Interviews
Group format interviews with engineering managers focusing on technical and behavioral questions.
What to demonstrate
- Group format interviews with engineering managers focusing on technical and behavioral questions
- Depth in Technical Interviewing
How to prepare
- Answer aloud and timed: How do you approach debugging a complex issue in your code?
- Answer aloud and timed: Can you explain a project where you implemented a new technology?
Problem-Solving Scenarios
Candidates are tested on their critical thinking and communication skills through problem-solving scenarios.
What to demonstrate
- Candidates are tested on their critical thinking and communication skills through problem-solving scenarios
- Depth in Technical Interviewing
How to prepare
- Answer aloud and timed: Tell us about a time you faced a significant challenge in a project. How did you overcome it?
- Answer aloud and timed: Describe a situation where you had to collaborate with a difficult team member.
Final Interviews
Interviews with key stakeholders to evaluate overall fit and alignment with company culture.
What to demonstrate
- Interviews with key stakeholders to evaluate overall fit and alignment with company culture
- Depth in Technical Interviewing
How to prepare
- Answer aloud and timed: How do you prioritize your tasks when working on multiple projects?
- Answer aloud and timed: Given a hypothetical scenario, how would you determine the best software architecture?
Where candidates lose points
Understand the company values
Research Hubbell's mission and core values to demonstrate alignment during your interviews.
Practice coding
Regularly practice coding problems to enhance your problem-solving skills and prepare for technical assessments.
Prepare examples
Have concrete examples from your past experiences ready to illustrate your skills and accomplishments.
Engage in mock interviews
Conduct mock interviews with peers to build confidence and improve your communication skills.
Follow-up
After your interviews, send a follow-up thank you email to express appreciation for the opportunity and reiterate your interest in 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 optimize a given algorithm for better performance?
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?
Merge partitioned event streams into one ordered feed with bounded lateness
Hard · k-way merge · watermarks · out-of-order streams
The read-model service consumes 64 log partitions carrying about 4,000 events per second in total. Each partition is ordered within itself, but partitions drift by up to 30 seconds, and the activity feed must present a tenant's events in occurred_at order. Produce the merge. State its complexity, the buffer it requires in events and in bytes, what happens when one partition is idle, and what you do with an event that arrives after you have already emitted its position. Payloads average 1 KB.
Approach
- Merge with a min-heap over the 64 partition heads keyed on (occurred_at, event_id): O(log P) per event and O(n log P) overall. The tie-break on event_id is what makes the output deterministic when two partitions carry the same millisecond, which matters because the feed is paginated and a non-deterministic order reorders pages under the reader.
- Emitting the heap head is only correct once every partition has produced everything up to that timestamp, so the emit condition is a watermark: the minimum across partitions of the highest occurred_at seen, less the allowed lateness. Events are held until the watermark passes them, which is what turns individually ordered streams into a jointly ordered one.
- Size the buffer from the lateness rather than guessing: 4,000 events per second times 30 seconds is 120,000 buffered events, and at 1 KB each about 120 MB of heap. That number is the real price of the ordering guarantee and belongs in front of whoever asked for it.
- Handle the idle partition explicitly, because it fails the feed rather than corrupting it: a partition with no traffic never advances its own maximum, so the watermark freezes and output stops entirely. Either every partition emits a periodic idle marker carrying the broker's current time, or the watermark falls back to wall clock for a partition silent beyond a threshold.
Follow-up
- The lateness budget is raised to five minutes. What is the new buffer, and what besides memory changes?
- The consumer restarts. Where does it resume from, and what does the feed look like for the first 30 seconds?
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?
Denormalise tenant onto revisions and backfill it live
Hard · denormalisation · online migration · backfill
resource_revision (revision_id, resource_id, version, actor_user_id, change_kind, patch, request_id, created_at) has 400M rows and no tenant column; tenant_id lives only on resource. Two reads need it: a tenant-scoped audit feed ordered by created_at DESC, and an offboarding purge. Both join back to resource today. Justify adding tenant_id to resource_revision against those two reads, name the anomaly the copy introduces and the constraint that prevents it, then give the ordered migration for a live table taking 1.2k writes/second — the lock each step takes, how the backfill is batched, and where each step stops being reversible. PostgreSQL 16.
Approach
- Justify from the access path rather than from taste. Without the column, the audit feed either scans resource_revision by created_at and discards other tenants' rows, or resolves the tenant's resource_ids first and probes with them — both proportional to the tenant's whole history rather than to one page. With (tenant_id, created_at DESC, revision_id DESC) it is a seek that stops at 50 rows, and the purge becomes a ranged delete instead of a join.
- Name the cost exactly: a second copy of a fact can disagree with the first. Make the disagreement unwritable rather than documented — add UNIQUE (resource_id, tenant_id) on resource so it can serve as a foreign-key target, then FOREIGN KEY (resource_id, tenant_id) REFERENCES resource (resource_id, tenant_id) on the revision table. A revision can then only ever carry its parent's tenant.
- Step one, expand: ALTER TABLE resource_revision ADD COLUMN tenant_id BIGINT NULL, with no default, so it is a catalogue change and no rewrite. It still needs ACCESS EXCLUSIVE for an instant, and that instant queues behind the longest open transaction on the table while every later query queues behind it — set lock_timeout to 2s and retry rather than wait.
- Step two, dual-write: deploy the writer that populates tenant_id on every new revision while reads still use the join. Reversible by redeploying the previous build, because nothing reads the column yet.
Follow-up
- The backfill is half finished and a rollback is required. What state is the table in, and what does the previous build do with a half-populated column?
- How do you verify the backfill actually finished, given rows are still being inserted while it runs?
What programming languages are you proficient in, and which do you prefer for specific tasks?
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 a project where you implemented a new technology?
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?
Given a hypothetical scenario, how would you determine the best software architecture?
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?
How would you handle a situation where a project is falling behind schedule?
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?
Design a system for managing customer orders in a large retail application.
Medium · System Design / Architecture
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 considerations do you take into account when designing a distributed system?
Medium · System Design / Architecture
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 debugging a complex issue in your code?
Medium · Technical / Domain Questions
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?
Suggested practice checklist
Built from the rounds and topics Hubbell candidates report.
Day 1 — Map the Hubbell loop
- Write out the reported sequence: Phone Screening, Technical Interviews, Problem-Solving Scenarios, Final 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 4 reported rounds, with the weakest marked.
Day 2 — Work Technical Interviewing
- Spend the session on Technical Interviewing, which Hubbell 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 3 — Work Object-Oriented Design (OOD)
- Spend the session on Object-Oriented Design (OOD), which Hubbell candidates report being tested on.
- Write one worked example in Object-Oriented Design (OOD) and time yourself on it.
Deliverable: One timed worked example in Object-Oriented Design (OOD).
Day 4 — Work Class Design / Modeling
- Spend the session on Class Design / Modeling, which Hubbell candidates report being tested on.
- Write one worked example in Class Design / Modeling and time yourself on it.
Deliverable: One timed worked example in Class Design / Modeling.
Day 5 — Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Describe your experience with software development methodologies.
- Answer aloud, timed: What programming languages are you proficient in, and which do you prefer for specific tasks?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
Day 6 — Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Tell us about a time you faced a significant challenge in a project. How did you overcome it?
- Answer aloud, timed: Describe a situation where you had to collaborate with a difficult team member.
Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.
Day 7 — Answer out loud: Problem-Solving / Case Studies
- Answer aloud, timed: Given a hypothetical scenario, how would you determine the best software architecture?
- Answer aloud, timed: How would you handle a situation where a project is falling behind schedule?
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 your experience with software development methodologies.
Medium · Technical / Domain Questions
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 us about a time you faced a significant challenge in a project. How did you overcome 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?
Describe a situation where you had to collaborate with a difficult team member.
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 your tasks when working on multiple projects?
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?