As a Software Engineer at SoCalGas, you are joining a vital infrastructure organization where technology serves as the backbone for delivering safe, reliable energy to millions of Californians. Your work directly impacts the systems that manage complex utility operations, customer-facing applications, and the digital transformation of energy distribution. You are not just writing code; you are building the software solutions that ensure operational efficiency and grid reliability. This role requires a blend of technical proficiency and a deep understanding of how software integrates with real-world, large-scale utility operations. You will often collaborate with cross-functional teams, including field engineers, project managers, and data analysts, to solve challenges related to data management, process automation, and system stability. It is a unique environment where your contributions have long-term, tangible impacts on public service and critical infrastructure.
Online Application
reportedSubmit your application online to be considered for the position.
What to demonstrate
- Submit your application online to be considered for the position
- Depth in Behavioral Interviewing
How to prepare
- Answer aloud and timed: Tell me about a time you had a disagreement with a supervisor; how did you handle it?
- Answer aloud and timed: Describe a situation where you had to lead a team or project. What was the outcome?
Personality Assessment
reportedComplete a potential personality assessment as part of the application process.
What to demonstrate
- Complete a potential personality assessment as part of the application process
- Depth in Behavioral Interviewing
How to prepare
- Answer aloud and timed: How do you approach a task when you are given ambiguous instructions?
- Answer aloud and timed: Tell me about a time you had to explain a complex technical issue to a non-technical stakeholder.
Phone Screen
reportedParticipate in a phone screen with HR to discuss your qualifications.
What to demonstrate
- Participate in a phone screen with HR to discuss your qualifications
- Depth in Behavioral 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.
Panel Interviews
reportedEngage in one or more panel interviews, which may be virtual or onsite.
What to demonstrate
- Engage in one or more panel interviews, which may be virtual or onsite
- Depth in Behavioral Interviewing
How to prepare
- Answer aloud and timed: How do you ensure your code is maintainable and scalable for long-term use?
- Answer aloud and timed: (For specific roles) What are your experiences with data analysis or database management, such as Excel or SQL?
PracHub editorial advice for the preparation topics above.
Research the company
Understand the core business of SoCalGas and the challenges currently facing the utility industry.
Dress professionally
The corporate environment is formal; your attire should reflect your respect for the interview process.
Follow up
After your interview, send a brief, professional thank-you email to your contacts.
Be honest
If you do not know the answer to a technical question, it is better to explain your process for finding the answer than to guess.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
How do you approach a task when you are given ambiguous instructions?
How do you approach a task when you are given ambiguous instructions?
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?
Identify the heaviest tenants in a five-minute window under memory pressure
The edge service handles about 3,000 requests per second across roughly 50,000 tenants, peaking near 9,000. Expose the 50 heaviest tenants by request count over the trailing five minutes so limits can be tightened before one tenant's backfill starves the fleet. You may not retain five minutes of raw records. Give the exact solution and its memory, then the bounded-memory approximation with its error stated as a formula, and say which you would ship and at what tenant cardinality that choice changes.
Approach
- Do the exact version first, because it is affordable at this cardinality: a ring of 300 one-second counters per tenant, advanced lazily, is 1,200 bytes of counters per tenant and roughly 60 to 90 MB for 50,000 tenants with overhead. Carry a running total and subtract the bucket you overwrite so a window read is O(1) rather than 300 adds.
- Extract the top 50 with a size-k min-heap over the tenant sums: O(d log k) for d tenants, against O(d log d) to sort them all. Maintaining the heap continuously instead of on query requires a tenant-to-heap-index map, because incrementing a count already inside the heap means sifting from a known position, and without that map you rebuild the heap on every request.
- State the approximation precisely rather than gesturing at sketches. Misra-Gries with m counters retains every item whose true count exceeds N/(m+1), and each retained count underestimates the truth by at most N/(m+1). With m = 1,000 and N = 900,000 requests in the window the error is roughly 900 requests, which is fine for spotting a tenant sending 50,000 and useless for ranking two tenants 200 apart.
- Say what breaks when the window slides: Misra-Gries and Space-Saving are insert-only and cannot be decremented as records age out. The workable construction is one summary per sub-window, say ten seconds, with 30 summaries merged at query time, and the merged error is the sum of the per-summary errors, so the bound degrades linearly in the number of sub-windows.
Follow-up
- The heaviest tenant is heavy because of one export job rather than user traffic. Should the limiter treat those as the same tenant?
- Two tenants sit tied at the boundary of the top 50. Does your answer flap, and does the flapping matter?
Find overlapping job attempts and peak concurrency from lease records
A day of job_run history yields about 50,000,000 attempt records: (job_run_id, job_type, attempt, started_at, finished_at which is NULL when the worker died, lease_expires_at). Leases expire on a clock, so a job that outran its lease ran twice. Produce (a) every job_run_id whose attempts overlapped in wall-clock time and (b) the peak number of simultaneously running attempts per job_type with the minute it occurred. Target O(n log n). State how you treat a NULL finished_at and what clock skew does to your answer.
Approach
- Define the interval before sorting anything: an attempt occupies [started_at, COALESCE(finished_at, lease_expires_at)). finished_at is observed and lease_expires_at is only a promise, so every attempt without a finish contributes an estimate and the whole result is a lower bound on overlap rather than an exact count.
- For peak concurrency, sweep: emit 2n endpoints, sort by (timestamp, kind) with ends ordered before starts at equal timestamps, then walk the sequence maintaining a counter per job_type and record each type's maximum with its timestamp. O(n log n) dominated by the sort, O(n) space, or O(1) extra if the sort is external and the walk streams.
- For overlap detection, do not compare attempts pairwise. A single global sort by (job_run_id, started_at) gives both the grouping and the order; within a group, keep the maximum end seen so far and report an overlap exactly when the next start is less than that running maximum, which is one linear pass after the sort.
- Half-open intervals matter and are easy to get wrong: with closed intervals an attempt ending at the same millisecond another begins reads as concurrency two, and across 50,000,000 records that artefact swamps the real signal.
Follow-up
- A handler is not idempotent and you have found 400 overlapping jobs. Which of them actually caused damage, and what would you query to find out?
- Peak concurrency for one job_type is 4 against a configured cap of 4. Is the cap working, or is the data hiding attempts that never started?
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?
Replace offset paging on the resource feed with keyset
resource holds resource_id, tenant_id, owner_user_id, title, body_ref, version, status ('draft','active','archived','deleted'), created_at, updated_at, deleted_at, with an index on (tenant_id, status, updated_at DESC, resource_id DESC). The listing endpoint returns active resources for one tenant, newest update first, 50 per page, today with LIMIT 50 OFFSET n. Tenants reach page 400 and rows are created while they read. Write the keyset query, define what the cursor carries and how it is encoded, and say which part of the index each predicate uses. Assume PostgreSQL 16.
Approach
- Name the two failures separately. OFFSET 20000 makes the server produce and discard 20,000 rows, so page cost grows with depth rather than with page size. Independently, any write that changes how many rows sort above the offset moves the window between two fetches, and the direction decides which anomaly you get: an insert lands at the head of updated_at DESC and pushes already-returned rows down past the boundary, so they are returned a second time; a delete above the offset, or a row whose updated_at is bumped above the cursor, pulls rows up and one is never returned at all. Nothing in the response reveals either.
- Write the seek: WHERE tenant_id = $1 AND status = 'active' AND (updated_at, resource_id) < ($2, $3) ORDER BY updated_at DESC, resource_id DESC LIMIT 50. The row-value comparison is one index range rather than a disjunction, and both columns are NOT NULL, which is what makes that comparison well defined.
- Map each predicate onto the index: tenant_id and status are equality on the leading columns, (updated_at, resource_id) is the range, and the ORDER BY matches the index order so no Sort node appears and the scan stops after 50 rows. The DESC in the definition only matters for mixed directions — a plain ascending btree on the same columns is read backwards for this query.
- Put both sort columns in the cursor and nothing the client can tamper with into another tenant: base64 of (updated_at, resource_id), validated server-side, with tenant_id taken from the principal.
Follow-up
- The client asks for 'jump to page 400'. What do you offer instead, and what does the honest version cost?
- Sort order becomes user-selectable across four columns. How many indexes is that, and which would you refuse to add?
How do you ensure your code is maintainable and scalable for long-term use?
How do you ensure your code is maintainable and scalable for long-term use?
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 a technical project you are proud of and the challenges you faced during development.
Describe a technical project you are proud of and the challenges you faced during development.
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 how you approach debugging a complex software module?
Can you explain how you approach debugging a complex software module?
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 SoCalGas candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the SoCalGas loop
- Write out the reported sequence: Online Application, Personality Assessment, Phone Screen, Panel 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.
02Work Behavioral Interviewing
- Spend the session on Behavioral Interviewing, which SoCalGas candidates report being tested on.
- Write one worked example in Behavioral Interviewing and time yourself on it.
Deliverable: One timed worked example in Behavioral Interviewing.
03Work Situational Judgment / Scenario-Based Questions
- Spend the session on Situational Judgment / Scenario-Based Questions, which SoCalGas candidates report being tested on.
- Write one worked example in Situational Judgment / Scenario-Based Questions and time yourself on it.
Deliverable: One timed worked example in Situational Judgment / Scenario-Based Questions.
04Work Fluids / Fluid Mechanics Fundamentals
- Spend the session on Fluids / Fluid Mechanics Fundamentals, which SoCalGas candidates report being tested on.
- Write one worked example in Fluids / Fluid Mechanics Fundamentals and time yourself on it.
Deliverable: One timed worked example in Fluids / Fluid Mechanics Fundamentals.
05Answer out loud: Behavioral and Situational (The SHARE/STAR Method)
- Answer aloud, timed: Tell me about a time you had a disagreement with a supervisor; how did you handle it?
- Answer aloud, timed: Describe a situation where you had to lead a team or project. What was the outcome?
Deliverable: Spoken answers to 2 reported Behavioral and Situational (The SHARE/STAR Method) question(s), under time.
06Answer out loud: Technical and Domain Knowledge
- Answer aloud, timed: Can you explain how you approach debugging a complex software module?
- Answer aloud, timed: How do you ensure your code is maintainable and scalable for long-term use?
Deliverable: Spoken answers to 2 reported Technical and Domain Knowledge question(s), under time.
07Dry run for SoCalGas
- Run one full mock under time, then write down the two questions you most want to ask your interviewers.
Deliverable: A completed timed mock and two questions to ask.
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.
Tell me about a time you had a disagreement with a supervisor; how did you handle it?
Tell me about a time you had a disagreement with a supervisor; how did you handle 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?
Describe a situation where you had to lead a team or project. What was the outcome?
Describe a situation where you had to lead a team or 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?
Tell me about a time you had to explain a complex technical issue to a non-technical stakeholder.
Tell me about a time you had to explain a complex technical issue to a non-technical stakeholder.
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 would you do if you realized you were going to miss a project deadline?
What would you do if you realized you were going to miss a project deadline?
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?
(For specific roles) What are your experiences with data analysis or database management, such as Excel or SQL
(For specific roles) What are your experiences with data analysis or database management, such as Excel or SQL?
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
Tell me about a time you had a disagreement with a supervisor; how did you handle it?
- 02
Describe a situation where you had to lead a team or project. What was the outcome?
- 03
Tell me about a time you had to explain a complex technical issue to a non-technical stakeholder.
- 04
What would you do if you realized you were going to miss a project deadline?
How long does the hiring process usually take?
The process can range from a few weeks to several months. It is not uncommon for there to be gaps between interviews, so remain patient and continue to express your interest through professional follow-ups.
SoCalGas Software Engineer candidate reports ↗Will I have to complete a technical test?
While some interviews are purely behavioral, others may include a technical component or a request for a presentation. Be prepared to explain your technical decisions in detail if asked.
SoCalGas Software Engineer candidate reports ↗What is the best way to prepare for the panel interview?
Practice your answers to behavioral questions using the STAR or SHARE method. Ensure you are comfortable speaking in front of a group, as you will likely be interviewed by multiple engineers and managers simultaneously.
SoCalGas Software Engineer candidate reports ↗Is there anything I should bring to the interview?
Bring copies of your resume, a notepad, and a list of thoughtful questions about the team's current challenges and the company’s culture. If you are interviewing in person, verify parking details in advance.
SoCalGas Software Engineer candidate reports ↗What topics does SoCalGas test in interviews?
SoCalGas interviews most often cover Behavioral Interviewing, Communication Skills, Panel Interviewing, Business Analysis, and Situational Judgment / Scenario-Based Questions. The exact emphasis depends on the specific role you apply for.
SoCalGas 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.
- 01SoCalGas 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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