As a Software Engineer at the New York Power Authority, you play a vital role in transforming the nation's largest state public power organization into a fully digital utility. You are tasked with designing, developing, and maintaining robust software solutions that support modernized infrastructure, renewable energy portfolios, and critical grid operations. Your work directly enables the organization to provide low-cost, clean, and reliable power while advancing ambitious sustainability and environmental, social, and governance goals. You will collaborate closely with multidisciplinary teams of energy technologists, IT specialists, hydro engineers, and business experts to build software that enhances asset management, data collection, and power system monitoring. Whether you are developing tools for real-time operations, optimizing energy distribution, or integrating emerging technologies, your contributions directly impact millions of New Yorkers. The scale and complexity of the energy sector mean your code must be resilient, scalable, and secure. Expect a fast-paced yet mission-driven environment where continuous innovation meets public service. You will be empowered to think big and tackle complex engineering challenges that shape the future of clean energy. Success in this role requires a balance of strong technical execution, cross-functional collaboration, and a genuine passion for the transition to a carbon-free economy.
Online Application
reportedSubmit your application through the company website or professional sourcing channels.
What to demonstrate
- Submit your application through the company website or professional sourcing channels
- Depth in Power systems knowledge
How to prepare
- Answer aloud and timed: Why do you want to work for the New York Power Authority?
- Answer aloud and timed: Can you tell me about your background and why you would be the best fit for this position?
Initial Screening
reportedHR manager contacts you to schedule a phone or video screening focused on your resume and motivations.
What to demonstrate
- HR manager contacts you to schedule a phone or video screening focused on your resume and motivations
- Depth in Power systems knowledge
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 Evaluation
reportedSuccessful candidates participate in video interviews with hiring managers and directors.
What to demonstrate
- Successful candidates participate in video interviews with hiring managers and directors
- Depth in Power systems knowledge
How to prepare
- Answer aloud and timed: How do you approach customer service when dealing with internal and external stakeholders?
- Answer aloud and timed: What power system software or technical tools have you worked with in past projects or roles?
Onsite Panel Discussions
reportedEngage in discussions with prospective peers and engineering leaders about technical competencies and past projects.
What to demonstrate
- Engage in discussions with prospective peers and engineering leaders about technical competencies and past projects
- Depth in Power systems knowledge
How to prepare
- Answer aloud and timed: Can you explain the basics of networking and how it applies to modern infrastructure systems?
- Answer aloud and timed: How would you approach designing a scalable software solution for monitoring asset performance?
PracHub editorial advice for the preparation topics above.
Research the portfolio
Familiarize yourself with the organization's published project portfolios, Vision 2030 strategic goals, and recent initiatives in renewable energy and digital utility transformation.
Structure your behavioral answers
Use the STAR method (Situation, Task, Action, Result) when discussing past projects, ensuring you highlight your specific contributions and measurable outcomes.
Prepare thoughtful questions
Ask your interviewers about team workflows, technical stack specifics, and how engineering teams collaborate with field operations.
Emphasize reliability
In the power and utility sector, reliability and safety are paramount. Frame your software engineering decisions around robustness, security, and maintainability.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
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?
Merge partitioned event streams into one ordered feed with bounded lateness
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?
Canonicalise a request body into a stable idempotency fingerprint
idempotency_key.request_fingerprint is a SHA-256 over the method, path and canonicalised body, and a retry whose fingerprint differs must be rejected with 422 rather than served the stored response. Write the canonicaliser. Bodies are JSON up to 256 KB nested at most 32 levels; clients vary key order, whitespace and unicode escaping, and some send 64-bit ids as JSON numbers. Produce a deterministic byte string such that semantically identical bodies match and any semantic difference does not. State your complexity and name two normalisations you refuse to perform.
Approach
- Parse once into a tree, then re-serialise under fixed rules: object keys sorted, array order preserved, one escaping convention, no insignificant whitespace. Parsing is O(n) and sorting keys is O(k log k) per object, so O(n log n) overall with O(depth) stack, and the 32-level cap is enforced during parsing because hostile nesting is how a canonicaliser becomes a stack overflow.
- Sort keys by their UTF-8 bytes and say why the obvious implementation is wrong in some runtimes: a default string comparison that orders by UTF-16 code units places surrogate pairs, meaning code points from U+10000 up, below U+E000 to U+FFFF, which is not UTF-8 byte order, so two services written in different languages disagree on the same document.
- Do not re-encode numbers through a double. IEEE-754 binary64 represents integers exactly only up to 2^53, so normalising a 19-digit id through a float changes it, and 1 against 1.0 cannot be reconciled without deciding whether they are the same value. Preserve the literal token, and require ids as strings at the API boundary if you want them comparable.
- Reject duplicate keys rather than picking one. JSON permits them and parsers disagree, most keeping the last, so any choice you make ties the fingerprint to a parser detail that the code handling the request does not necessarily share.
Follow-up
- A client sends the same logical request with an extra field your API ignores. Same key, different fingerprint, so you return 422. Is that the right answer?
- Where does the fingerprint get computed relative to request decompression and the body-size limit?
Find version gaps and relay lag with window functions
outbox_event holds event_id, aggregate_type, aggregate_id, aggregate_version, event_type, payload, status ('pending','published','dead'), attempts, created_at, published_at. A projection is missing rows and you must decide whether the relay skipped events or the consumer dropped them. Write three queries over the last seven days: one listing every aggregate_id whose published aggregate_version sequence has a hole, one giving per-day counts with a running total, and one returning the newest published event per aggregate. For each, say where the window function is evaluated relative to WHERE and LIMIT. PostgreSQL 16.
Approach
- Gaps: compute lead(aggregate_version) OVER (PARTITION BY aggregate_id ORDER BY aggregate_version) in a subquery, then filter next_version <> aggregate_version + 1 in the outer query. Window functions are evaluated after WHERE, GROUP BY and HAVING and before the outer ORDER BY and LIMIT, so the predicate cannot sit in the same WHERE clause and PostgreSQL 16 has no QUALIFY.
- Say what the seven-day filter does to the answer: it truncates every partition, so the first row per aggregate has no predecessor inside the window and a hole spanning the boundary is invisible. Widen the window, or join to resource.version as the authority for the true maximum.
- Running total: SELECT date_trunc('day', created_at) AS d, count() AS n, sum(count()) OVER (ORDER BY date_trunc('day', created_at) ROWS UNBOUNDED PRECEDING). An aggregate inside a window call is legal because grouping runs before windowing. The grouping key is unique per row here so ROWS and RANGE agree, but write the frame anyway — over ungrouped rows with tied timestamps the default RANGE frame pulls in every peer row and the total jumps.
- Newest per aggregate: DISTINCT ON (aggregate_id) ... ORDER BY aggregate_id, aggregate_version DESC is the cheap PostgreSQL-only form when an index matches that order; row_number() OVER (PARTITION BY aggregate_id ORDER BY aggregate_version DESC) = 1 is the portable form and needs a subquery for the same evaluation-order reason as the gap query.
Follow-up
- Relay failover redelivers events. Does a duplicate break the gap query, and how would you detect one from this table alone?
- Turn the gap check into a continuous monitor rather than a query someone runs after an incident. What does it watch?
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?
What power system software or technical tools have you worked with in past projects or roles?
What power system software or technical tools have you worked with in past projects or roles?
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 basics of networking and how it applies to modern infrastructure systems?
Can you explain the basics of networking and how it applies to modern infrastructure systems?
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 designing a scalable software solution for monitoring asset performance?
How would you approach designing a scalable software solution for monitoring asset performance?
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 stay updated on emerging industry trends and new technologies relevant to software development?
How do you stay updated on emerging industry trends and new technologies relevant to software 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?
What steps do you take when troubleshooting a complex technical failure in a production environment?
What steps do you take when troubleshooting a complex technical failure in a production environment?
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 New York Power Authority candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the New York Power Authority loop
- Write out the reported sequence: Online Application, Initial Screening, Technical Evaluation, Onsite Panel 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 Power systems knowledge
- Spend the session on Power systems knowledge, which New York Power Authority candidates report being tested on.
- Write one worked example in Power systems knowledge and time yourself on it.
Deliverable: One timed worked example in Power systems knowledge.
03Work Electrical engineering theory
- Spend the session on Electrical engineering theory, which New York Power Authority candidates report being tested on.
- Write one worked example in Electrical engineering theory and time yourself on it.
Deliverable: One timed worked example in Electrical engineering theory.
04Work Power transmission system understanding
- Spend the session on Power transmission system understanding, which New York Power Authority candidates report being tested on.
- Write one worked example in Power transmission system understanding and time yourself on it.
Deliverable: One timed worked example in Power transmission system understanding.
05Answer out loud: Behavioral & Cultural Fit
- Answer aloud, timed: Why do you want to work for the New York Power Authority?
- Answer aloud, timed: Can you tell me about your background and why you would be the best fit for this position?
Deliverable: Spoken answers to 2 reported Behavioral & Cultural Fit question(s), under time.
06Answer out loud: Technical & Domain Knowledge
- Answer aloud, timed: What power system software or technical tools have you worked with in past projects or roles?
- Answer aloud, timed: Can you explain the basics of networking and how it applies to modern infrastructure systems?
Deliverable: Spoken answers to 2 reported Technical & Domain Knowledge question(s), under time.
07Dry run for New York Power Authority
- 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.
Why do you want to work for the New York Power Authority?
Why do you want to work for the New York Power Authority?
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 tell me about your background and why you would be the best fit for this position?
Can you tell me about your background and why you would be the best fit for this position?
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 competing priorities and tight deadlines when working on multiple projects?
How do you handle competing priorities and tight deadlines 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?
Describe a time when you had to work closely with a cross-functional team to deliver a technical solution.
Describe a time when you had to work closely with a cross-functional team to deliver a technical solution.
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 approach customer service when dealing with internal and external stakeholders?
How do you approach customer service when dealing with internal and external 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
Why do you want to work for the New York Power Authority?
- 02
Can you tell me about your background and why you would be the best fit for this position?
- 03
How do you handle competing priorities and tight deadlines when working on multiple projects?
- 04
Describe a time when you had to work closely with a cross-functional team to deliver a technical solution.
How difficult is the interview process at New York Power Authority?
The difficulty is generally considered moderate to challenging, depending on the team and seniority level. While initial screens focus heavily on behavioral alignment and resume depth, technical rounds require clear problem-solving and domain-relevant engineering knowledge.
New York Power Authority Software Engineer candidate reports ↗How long does the entire hiring process take?
Timelines vary widely. Some candidates report a rapid two-to-three-week turnaround from application to offer, while others experience a multi-month process involving multiple interview panels and administrative reviews.
New York Power Authority Software Engineer candidate reports ↗What is the best way to stand out during the interview?
Demonstrate a clear understanding of the organization's mission and public utility mandate. Connecting your technical engineering skills to real-world impact in clean energy and infrastructure modernization will immediately resonate with hiring managers.
New York Power Authority Software Engineer candidate reports ↗Are remote or hybrid work options available?
Work arrangements depend heavily on the specific department and whether the role is tied to corporate offices or field plant locations. Be sure to clarify location and flexibility expectations during your initial HR screening.
New York Power Authority Software Engineer candidate reports ↗What topics does New York Power Authority test in interviews?
New York Power Authority interviews most often cover Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Communication Skills, and Time Management. The exact emphasis depends on the specific role you apply for.
New York Power Authority 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.
- 01New York Power Authority 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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