As a Software Engineer at United States Steel, you play a vital role in modernizing heavy industrial manufacturing through robust digital solutions, process automation, and intelligent control systems. This position bridges the gap between traditional steelmaking and cutting-edge software engineering, directly influencing the efficiency, safety, and reliability of plant operations across North America. Your work impacts core manufacturing systems, automated machinery, and quality control pipelines that keep production lines running at massive physical scales. The scope of this role spans from developing internal applications and process control software to integrating automated systems for heavy equipment like cranes, finishing mills, and continuous casting lines. You will collaborate closely with multidisciplinary teams comprising metallurgical engineers, plant operators, maintenance reliability specialists, and product managers. This environment demands a unique combination of software craftsmanship and industrial awareness, requiring you to write code that performs reliably in high-stakes, real-world manufacturing environments. Candidates entering this space should expect a challenging yet rewarding operational landscape where software decisions directly translate to physical output and worker safety.
Phone Screening
reportedInitial screening with a recruiter to assess your background and fit for the role.
What to demonstrate
- Initial screening with a recruiter to assess your background and fit for the role
- Depth in Behavioral Interviewing (STAR method)
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
reportedOne or more interviews with team members, including coding challenges or case studies.
What to demonstrate
- One or more interviews with team members
- Including coding challenges or case studies
How to prepare
- Answer aloud and timed: What motivated you to apply for a Software Engineer role at United States Steel specifically?
- Answer aloud and timed: How do you manage competing priorities when multiple stakeholders request feature updates simultaneously?
Behavioral Questions
reportedSupplemental questions to evaluate how you handle various workplace scenarios.
What to demonstrate
- Supplemental questions to evaluate how you handle various workplace scenarios
- Depth in Behavioral Interviewing (STAR method)
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 questions above and write down what you would ask to confirm before it.
Panel Interviews
reportedThorough evaluation process involving multiple interviewers, potentially on-site.
What to demonstrate
- Thorough evaluation process involving multiple interviewers, potentially on-site
- Depth in Behavioral Interviewing (STAR method)
How to prepare
- Answer aloud and timed: What steps do you take to ensure high availability and low latency when interacting with automated physical hardware or databases?
- Answer aloud and timed: Discuss your experience with object-oriented programming principles and how you structure maintainable codebases.
Final Interviews
reportedFinal interactions with potential colleagues and stakeholders to assess cultural fit.
What to demonstrate
- Final interactions with potential colleagues and stakeholders to assess cultural fit
- Depth in Behavioral Interviewing (STAR method)
How to prepare
- Answer aloud and timed: Tell me about a time you identified a safety risk or a major bottleneck in a project and how you addressed it.
- Answer aloud and timed: Describe a situation where you had a disagreement with a peer or manager regarding a technical design choice. How did you resolve it?
PracHub editorial advice for the preparation topics above.
Emphasize reliability and safety
Always frame your technical solutions around stability, error handling, and safety principles, as these are core values in heavy industrial environments.
Practice whiteboard communication
During panel sessions, you may be asked to sketch out architectures or explain algorithms using physical or virtual writing tools. Practice talking through your designs clearly as you draw.
Prepare STAR-method behavioral stories
Organize your past experiences using the Situation, Task, Action, Result framework, focusing heavily on how you collaborate with teams and resolve technical conflicts.
Research industrial contexts
Familiarize yourself broadly with how software intersects with manufacturing, process control, and supply chain logistics to speak credibly during your interviews.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
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?
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?
Denormalise tenant onto revisions and backfill it live
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?
Write the update path that detects a concurrent edit
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?
Walk me through your resume and highlight a complex software project you built from scratch.
Walk me through your resume and highlight a complex software project you built from scratch.
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?
Explain a challenging technical problem you solved during your previous work or coursework and how you tested
Explain a challenging technical problem you solved during your previous work or coursework and how you tested your solution.
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 motivated you to apply for a Software Engineer role at United States Steel specifically?
What motivated you to apply for a Software Engineer role at United States Steel specifically?
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 manage competing priorities when multiple stakeholders request feature updates simultaneously?
How do you manage competing priorities when multiple stakeholders request feature updates simultaneously?
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 data pipeline or control system interface for real-time telemetry data?
How would you approach designing a data pipeline or control system interface for real-time telemetry data?
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?
Explain how you handle error logging, exception management, and system recovery in mission-critical applicatio
Explain how you handle error logging, exception management, and system recovery in mission-critical applications.
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 to ensure high availability and low latency when interacting with automated physical ha
What steps do you take to ensure high availability and low latency when interacting with automated physical hardware or databases?
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 writing clean, scalable code under tight project delivery deadlines?
How do you approach writing clean, scalable code under tight project delivery deadlines?
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 troubleshoot a memory leak or a performance bottleneck in a production application?
How would you troubleshoot a memory leak or a performance bottleneck in a production application?
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?
Walk me through your debugging methodology when an integration between software and external hardware fails un
Walk me through your debugging methodology when an integration between software and external hardware fails unexpectedly.
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 United States Steel candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the United States Steel loop
- Write out the reported sequence: Phone Screening, Technical Interviews, Behavioral Questions, Panel Interviews, 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 5 reported rounds, with the weakest marked.
02Work Behavioral Interviewing (STAR method)
- Spend the session on Behavioral Interviewing (STAR method), which United States Steel candidates report being tested on.
- Write one worked example in Behavioral Interviewing (STAR method) and time yourself on it.
Deliverable: One timed worked example in Behavioral Interviewing (STAR method).
03Work Coding Interviews (Leet-style hard rounds)
- Spend the session on Coding Interviews (Leet-style hard rounds), which United States Steel candidates report being tested on.
- Write one worked example in Coding Interviews (Leet-style hard rounds) and time yourself on it.
Deliverable: One timed worked example in Coding Interviews (Leet-style hard rounds).
04Work Communication Skills (verbal explanation, interview clarity)
- Spend the session on Communication Skills (verbal explanation, interview clarity), which United States Steel candidates report being tested on.
- Write one worked example in Communication Skills (verbal explanation, interview clarity) and time yourself on it.
Deliverable: One timed worked example in Communication Skills (verbal explanation, interview clarity).
05Answer out loud: Background and Experience
- Answer aloud, timed: Walk me through your resume and highlight a complex software project you built from scratch.
- Answer aloud, timed: Explain a challenging technical problem you solved during your previous work or coursework and how you tested your solution.
Deliverable: Spoken answers to 2 reported Background and Experience question(s), under time.
06Answer out loud: Technical and Domain Knowledge
- Answer aloud, timed: How would you approach designing a data pipeline or control system interface for real-time telemetry data?
- Answer aloud, timed: Explain how you handle error logging, exception management, and system recovery in mission-critical applications.
Deliverable: Spoken answers to 2 reported Technical and Domain Knowledge question(s), under time.
07Answer out loud: Behavioral and Safety Orientation
- Answer aloud, timed: Tell me about a time you identified a safety risk or a major bottleneck in a project and how you addressed it.
- Answer aloud, timed: Describe a situation where you had a disagreement with a peer or manager regarding a technical design choice. How did you resolve it?
Deliverable: Spoken answers to 2 reported Behavioral and Safety Orientation 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.
Discuss your experience with object-oriented programming principles and how you structure maintainable codebas
Discuss your experience with object-oriented programming principles and how you structure maintainable codebases.
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 identified a safety risk or a major bottleneck in a project and how you addressed it.
Tell me about a time you identified a safety risk or a major bottleneck in a project and how you addressed 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 a disagreement with a peer or manager regarding a technical design choice.
Describe a situation where you had a disagreement with a peer or manager regarding a technical design choice. How did you resolve it?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you handle high-pressure environments where unexpected system failures occur?
How do you handle high-pressure environments where unexpected system failures occur?
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?
Are you comfortable committing to long-term career growth and operational leadership within an industrial sett
Are you comfortable committing to long-term career growth and operational leadership within an industrial setting?
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
Discuss your experience with object-oriented programming principles and how you structure maintainable codebases.
- 02
Tell me about a time you identified a safety risk or a major bottleneck in a project and how you addressed it.
- 03
Describe a situation where you had a disagreement with a peer or manager regarding a technical design choice. How did you resolve it?
- 04
How do you handle high-pressure environments where unexpected system failures occur?
How difficult are the technical interviews for this role?
The technical interviews range from moderate to challenging, focusing heavily on practical problem-solving, system design, and your past engineering projects rather than purely abstract puzzle-solving. Preparing by reviewing fundamental data structures, debugging methodologies, and system architecture principles will position you well for success.
United States Steel Software Engineer candidate reports ↗What is the typical interview timeline from application to final offer?
The timeline can vary depending on the hiring plant location and team requirements, typically spanning anywhere from three to six weeks from initial application review through final panel interviews and background checks. Clear communication with your recruiting coordinator helps ensure your process moves at a steady pace.
United States Steel Software Engineer candidate reports ↗Are remote work options available for Software Engineers?
While some corporate and regional office roles may offer hybrid flexibility, many engineering positions tied closely to manufacturing facilities require regular on-site presence to collaborate with plant operators and test systems against physical machinery. Review the specific job location and posting details for clarity on workspace expectations.
United States Steel Software Engineer candidate reports ↗What differentiates successful candidates during the interview loops?
Successful candidates distinguish themselves by demonstrating not just technical competence, but also a deep appreciation for operational reliability, safety, and cross-functional empathy. Interviewers value engineers who ask clarifying questions, explain their trade-offs transparently, and show genuine interest in industrial manufacturing.
United States Steel Software Engineer candidate reports ↗How should I prepare for the panel interview format?
Expect to speak with multiple interviewers, including hiring managers, peers, and cross-functional stakeholders. Practice explaining your technical decisions clearly using whiteboards or digital sketching tools, and be ready to discuss both your technical successes and how you handle project ambiguity.
United States Steel Software Engineer candidate reports ↗What topics does United States Steel test in interviews?
United States Steel interviews most often cover Stakeholder Management, Risk Management, Behavioral Interviewing, Problem Solving, and Forecasting. The exact emphasis depends on the specific role you apply for.
United States Steel 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.
- 01United States Steel 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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