Meta IT hires Software Engineers; this guide collects what candidates report about the process.
Recruiter Screen
reportedInitial discussion to align on logistics and background.
What to demonstrate
- Initial discussion to align on logistics and background
- Depth in Problem Solving
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 Screen
reportedIncludes an Online Assessment or live coding session, often with three coding problems.
What to demonstrate
- Includes an Online Assessment or live coding session, often with three coding problems
- Depth in Problem Solving
How to prepare
- Answer aloud and timed: Write a function to iterate through and manipulate elements in a collection, such as a HashSet or HashMap, while adhering to language-specific memory management rules.
- Answer aloud and timed: Solve an array manipulation problem requiring multi-pointer approaches or sliding window techniques to reach an optimal time complexity of $O(N)$.
Onsite Interviews
reportedComprehensive loop of multiple back-to-back interviews focusing on coding, system design, and behavioral questions.
What to demonstrate
- Comprehensive loop of multiple back-to-back interviews focusing on coding, system design, and behavioral questions
- Depth in Problem Solving
How to prepare
- Answer aloud and timed: Implement a custom sorting or search algorithm adapted to handle dynamic data streams with high throughput.
- Answer aloud and timed: Design the API and backend architecture for an image-sharing news feed feature (similar to Instagram) handling high read-to-write ratios.
PracHub editorial advice for the preparation topics above.
Always clarify problem constraints and edge cases before writing code during live assessments
Interviewers at Meta IT reward candidates who communicate their thought process continuously.
Structure your algorithmic solutions out loud
Speak through your logic as you write code. Explain the time ($O(N)$) and space ($O(N)$) complexities clearly before finalizing your implementation.
Review language fundamentals
Do not rely purely on memory for language-specific syntax or collection methods. Be prepared to explain how underlying data structures, like HashMaps or lists, operate under the hood in your chosen language.
Prepare STAR-formatted behavioral stories
Format your past work experiences using the Situation, Task, Action, and Result (STAR) framework. Highlight your direct contributions, technical choices, and quantitative outcomes.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Given a grid containing coordinates of people, find the optimal location to place a central service node (or w
Given a grid containing coordinates of people, find the optimal location to place a central service node (or well) that minimizes the total distance for everyone.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Given two distinct nodes within a graph or tree structure, write an algorithm to identify all common ancestor
Given two distinct nodes within a graph or tree structure, write an algorithm to identify all common ancestor nodes efficiently.
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?
Write a function to iterate through and manipulate elements in a collection, such as a HashSet or HashMap, whi
Write a function to iterate through and manipulate elements in a collection, such as a HashSet or HashMap, while adhering to language-specific memory management rules.
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- Distinguish a value from a reference to it, and say which one you handed out.
Follow-up
- What happens if two callers reach this at the same time?
- Where could this allocate more than you expect?
Solve an array manipulation problem requiring multi-pointer approaches or sliding window techniques to reach a
Solve an array manipulation problem requiring multi-pointer approaches or sliding window techniques to reach an optimal time complexity of $O(N)$.
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?
Discuss memory management, garbage collection mechanics, and concurrency handling in Java enterprise applicati
Discuss memory management, garbage collection mechanics, and concurrency handling in Java enterprise applications.
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- Distinguish a value from a reference to it, and say which one you handed out.
Follow-up
- What happens if two callers reach this at the same time?
- Where could this allocate more than you expect?
Explain why the owner filter ignores the listing index
The only index on resource is (tenant_id, status, updated_at DESC, resource_id DESC). A new endpoint returns one user's resources across all statuses, newest created first: WHERE tenant_id = $1 AND owner_user_id = $2 ORDER BY created_at DESC LIMIT 20. On a tenant with 2M rows it takes 900 ms and EXPLAIN shows a sort above a large scan. Explain precisely why the existing index cannot serve it, give the index that can, and state which of these the new index still will not help: owner_user_id alone across tenants; the same query ordered by updated_at. PostgreSQL 16.
Approach
- Separate the two jobs an index does. For filtering, a composite btree is seekable only on a left prefix, so with no predicate on status the scan can at best range over tenant_id and test owner_user_id per row; PostgreSQL 16 has no btree skip scan to jump the unconstrained column.
- For ordering, the index is sorted by (status, updated_at) within a tenant and not by created_at, so the LIMIT cannot stop early: every matching row is read and then sorted. That is the 'Sort Method: top-N heapsort' line, and it is why the plan reads 2M rows to answer with 20.
- Derive the replacement from the access path — equality, equality, then the ordering column: CREATE INDEX CONCURRENTLY ON resource (tenant_id, owner_user_id, created_at DESC). The scan seeks to the (tenant, owner) range and walks 20 entries in order, so the Sort node disappears along with the row-read.
- Treat INCLUDE (title, status) as conditional, not free. An index-only scan still visits the heap for any row whose page is not marked all-visible, so on a table taking 1.2k writes/second the win depends on autovacuum keeping the visibility map current, and the wider index costs more on every insert.
Follow-up
- 90% of rows are status='active'. Would a partial index WHERE status = 'active' change your answer, and for which of the three queries?
- A dashboard runs this for 40 owners in one page load. What changes about the design?
Hold a per-tenant active cap against concurrent creates
A tenant on the standard plan may hold at most 50 resources with status='active'. The create handler runs SELECT count(*) FROM resource WHERE tenant_id = $1 AND status = 'active', compares to 50, then inserts. Two creates arrive 3 ms apart on different instances and the tenant lands at 51. Name the anomaly, say whether PostgreSQL 16 READ COMMITTED or REPEATABLE READ prevents it and why, then give an implementation that holds the cap at READ COMMITTED with the exact statements. Finally, say what changes when the cap is 'at most one running export per tenant' on job_run.
Approach
- Name it: write skew. The two transactions read an overlapping set and write disjoint rows, so there is no row-level conflict for the engine to detect and each commit is individually legal.
- Rule out the levels precisely. READ COMMITTED takes a fresh snapshot per statement and takes no lock on the counted rows, so both see 49. PostgreSQL's REPEATABLE READ is snapshot isolation: it removes non-repeatable reads and phantoms within the snapshot but still admits write skew, because the anomaly is not a re-read of a changed row, it is a read of a set that a concurrent transaction invalidates. Only SERIALIZABLE closes it, by tracking the read dependency and aborting one transaction with SQLSTATE 40001 — a guarantee that exists only if the application re-runs the whole transaction from the read.
- Convert the set predicate into a single-row conflict: keep tenant.active_resource_count and run UPDATE tenant SET active_resource_count = active_resource_count + 1 WHERE tenant_id = $1 AND active_resource_count < 50 in the same transaction as the INSERT. Zero affected rows is the cap, returned as 409. The row lock serialises the decision at any isolation level, and contention is bounded to one tenant's row — which is also the fair-scheduling unit, unlike a global counter that would convoy every tenant behind one row.
- State the cost you just took on: a counter is a second source of truth that can drift, so every path that changes status must adjust it inside the same transaction, and a periodic reconciliation has to exist, with resource_revision as the authority for what the count should have been.
Follow-up
- A resource moves from archived back to active. Which statements change, and what breaks if the counter update and the status change land in different transactions?
- The cap becomes plan-dependent and a plan can change mid-month. Where does the number 50 live, and who reads it?
Implement a custom sorting or search algorithm adapted to handle dynamic data streams with high throughput.
Implement a custom sorting or search algorithm adapted to handle dynamic data streams with high throughput.
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?
Design the API and backend architecture for an image-sharing news feed feature (similar to Instagram) handling
Design the API and backend architecture for an image-sharing news feed feature (similar to Instagram) handling high read-to-write ratios.
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?
Propose an architectural solution to mitigate compiler slowness, accounting for runtime overhead in interprete
Propose an architectural solution to mitigate compiler slowness, accounting for runtime overhead in interpreted languages like Python through distributed caching.
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?
Design a high-throughput data processing pipeline capable of transforming and storing real-time transaction ev
Design a high-throughput data processing pipeline capable of transforming and storing real-time transaction events across multiple cloud regions.
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?
Structure a cloud-native microservices ecosystem including load balancers, API gateways, and distributed datab
Structure a cloud-native microservices ecosystem including load balancers, API gateways, and distributed databases for high availability.
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?
Explain the execution context, governor limits, and component architecture when developing custom solutions us
Explain the execution context, governor limits, and component architecture when developing custom solutions using Salesforce Apex and Lightning Web Components (LWC).
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 structure unit, integration, and end-to-end automated testing pipelines within a modern CI/CD frame
How do you structure unit, integration, and end-to-end automated testing pipelines within a modern CI/CD framework?
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- Design the error taxonomy before the success shape; callers branch on it.
Follow-up
- What happens if the caller retries after a timeout?
- How does a client discover it is on an old version of this contract?
Explain how you design RESTful APIs and GraphQL endpoints to ensure backward compatibility and minimal payload
Explain how you design RESTful APIs and GraphQL endpoints to ensure backward compatibility and minimal payload overhead.
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- Design the error taxonomy before the success shape; callers branch on it.
Follow-up
- What happens if the caller retries after a timeout?
- How does a client discover it is on an old version of this contract?
Every query on one table stalls for forty seconds mid-deploy
During a release on PostgreSQL, every query touching resource times out for about 40 seconds and then recovers with no intervention. The release ran one migration, ALTER TABLE resource ADD COLUMN archived_reason TEXT, and the migration log shows it completing in 6 ms. Unrelated tables showed no change in error rate. Explain how a 6 ms statement caused a 40-second stall, give the ordered checks you would run on a live system to confirm it, and give the migration procedure that prevents a repeat.
Approach
- Separate the statement's duration from the lock's duration. ADD COLUMN with no default is a catalogue-only change and genuinely runs in milliseconds, but it requires ACCESS EXCLUSIVE, and it cannot acquire that until every transaction already touching the table has finished.
- Account for the queueing, which is the part that surprises people. A lock request that is waiting blocks later requests for conflicting modes behind it rather than letting them overtake, so one long-open transaction holds the DDL and the DDL holds all the traffic. The stall length is set by the longest open transaction, not by the size of the change.
- Confirm on a live system in this order: pg_stat_activity for that table ordered by xact_start, looking for the oldest transaction and specifically for state = idle in transaction; then pg_locks where granted = false to find the waiter; then join them on pid to name blocker and blocked. pg_blocking_pids() does that join for you and is the fastest single call.
- Prevent rather than merely time it better. Set lock_timeout to a second or two on the migration session so the DDL abandons the queue after a bounded wait and is retried, instead of holding it for as long as the oldest transaction lives. Be exact about what that buys: queries arriving during the wait still queue behind the pending ACCESS EXCLUSIVE request, so each attempt costs them up to one lock_timeout of added latency. The outage goes from 40 seconds to about one second per attempt, not to zero. Also run migrations away from deploy-time peaks, and put a statement timeout and an idle-in-transaction timeout on the analytics role that opens the long transactions.
Follow-up
- The same release also wants NOT NULL on that column. What is the sequence that gets there without a long lock?
- Your lock_timeout retry fails ten times in a row because the analytics transaction is always open. What do you change?
Built from the rounds and topics Meta IT candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Meta IT loop
- Write out the reported sequence: Recruiter Screen, Technical Screen, Onsite 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 3 reported rounds, with the weakest marked.
02Work Problem Solving
- Spend the session on Problem Solving, which Meta IT candidates report being tested on.
- Write one worked example in Problem Solving and time yourself on it.
Deliverable: One timed worked example in Problem Solving.
03Work Technical Assessments (online coding tests)
- Spend the session on Technical Assessments (online coding tests), which Meta IT candidates report being tested on.
- Write one worked example in Technical Assessments (online coding tests) and time yourself on it.
Deliverable: One timed worked example in Technical Assessments (online coding tests).
04Work System Design
- Spend the session on System Design, which Meta IT candidates report being tested on.
- Write one worked example in System Design and time yourself on it.
Deliverable: One timed worked example in System Design.
05Answer out loud: Coding & Data Structures
- Answer aloud, timed: Given a grid containing coordinates of people, find the optimal location to place a central service node (or well) that minimizes the total distance for everyone.
- Answer aloud, timed: Given two distinct nodes within a graph or tree structure, write an algorithm to identify all common ancestor nodes efficiently.
Deliverable: Spoken answers to 2 reported Coding & Data Structures question(s), under time.
06Answer out loud: System Design & Enterprise Architecture
- Answer aloud, timed: Design the API and backend architecture for an image-sharing news feed feature (similar to Instagram) handling high read-to-write ratios.
- Answer aloud, timed: Propose an architectural solution to mitigate compiler slowness, accounting for runtime overhead in interpreted languages like Python through distributed caching.
Deliverable: Spoken answers to 2 reported System Design & Enterprise Architecture question(s), under time.
07Answer out loud: Domain & Platform Engineering
- Answer aloud, timed: Explain the execution context, governor limits, and component architecture when developing custom solutions using Salesforce Apex and Lightning Web Components (LWC).
- Answer aloud, timed: Discuss memory management, garbage collection mechanics, and concurrency handling in Java enterprise applications.
Deliverable: Spoken answers to 2 reported Domain & Platform Engineering 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.
Walk me through a challenging project where project scope or requirements changed mid-development, and explain
Walk me through a challenging project where project scope or requirements changed mid-development, and explain how you managed the transition.
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 an international client or multi-cultural team in Engli
Describe a situation where you had to collaborate with an international client or multi-cultural team in English under tight deadlines.
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 code reviews when there is a significant disagreement between team members regarding archi
How do you approach code reviews when there is a significant disagreement between team members regarding architectural choices?
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?
Give an example of how you prioritized technical debt reduction while still delivering critical features reque
Give an example of how you prioritized technical debt reduction while still delivering critical features requested by project managers.
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
Walk me through a challenging project where project scope or requirements changed mid-development, and explain how you managed the transition.
- 02
Describe a situation where you had to collaborate with an international client or multi-cultural team in English under tight deadlines.
- 03
How do you approach code reviews when there is a significant disagreement between team members regarding architectural choices?
- 04
Give an example of how you prioritized technical debt reduction while still delivering critical features requested by project managers.
How difficult are the technical interviews at Meta IT compared to standard industry benchmarks?
The difficulty ranges from medium to hard depending on the seniority of the role and the client assignment. Online assessments and live technical screens feature medium-level algorithmic challenges similar to standard LeetCode problems, alongside practical system design and language-specific questions.
Meta IT Software Engineer candidate reports ↗What is the primary language used during the live coding assessments?
You are generally allowed to complete live coding interviews in any mainstream programming language you are most comfortable with, such as Java, Python, C++, or JavaScript, unless the role is specifically tied to a platform like Salesforce.
Meta IT Software Engineer candidate reports ↗Are all Software Engineer positions at Meta IT client-facing?
Not all, but many roles involve working directly on client projects through Meta IT’s IT consulting and staff augmentation services. In these cases, you will pass internal screens before completing a final technical interview with client leadership.
Meta IT Software Engineer candidate reports ↗How important is English language proficiency in the hiring process?
English proficiency is extremely important for roles allocated to global client accounts (e.g., North American or European clients). Your conversational and technical English will be evaluated through recruiter chats, technical presentations, or written assessments.
Meta IT Software Engineer candidate reports ↗What is the typical timeframe from initial outreach to a final offer?
The entire process usually spans between 2 and 5 weeks. Fast-track allocations can close in under two weeks, while complex panel and client schedules may extend the timeline slightly.
Meta IT Software Engineer candidate reports ↗What topics does Meta IT test in interviews?
Meta IT interviews most often cover Problem Solving, Stakeholder Management, System Design, Java, and Communication. The exact emphasis depends on the specific role you apply for.
Meta IT 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.
- 01Meta IT 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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