A Software Engineer at Snyk plays a pivotal role in building and scaling the industry's leading AI-native developer security platform. Unlike traditional security companies that focus on post-deployment monitoring, Snyk integrates directly into the developer's workflow. This means you will design, build, and maintain high-scale systems that analyze code, dependencies, container images, and cloud infrastructure in real time. Your work will directly empower millions of developers globally to build fast and stay secure, shifting security left in the software development lifecycle. The engineering challenges at Snyk are uniquely complex, involving massive dependency trees, complex graph traversals, and highly performant API design. As a member of the engineering team, you will work on core products like Snyk Code, Snyk Open Source, and Snyk Container. You will be tasked with building highly reliable, low-latency microservices that can parse and analyze billions of package dependencies while maintaining a seamless user experience. At Snyk, engineering is deeply collaborative and driven by a strong developer-first culture. You will work in cross-functional teams alongside product managers, security researchers, and site reliability engineers. Whether you are optimizing backend data pipelines, designing developer-friendly APIs, or building secure AI integrations, your contributions will actively shape how modern cloud-native applications are built and secured worldwide.
Recruiter Call
reportedInitial screening call with a recruiter to evaluate your background and fit for the role.
What to demonstrate
- Initial screening call with a recruiter to evaluate your background and fit for the role
- Depth in Software Engineering (General)
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.
Hiring Manager Conversation
reportedDiscussion with the hiring manager to align on expectations and your experience.
What to demonstrate
- Discussion with the hiring manager to align on expectations and your experience
- Depth in Software Engineering (General)
How to prepare
- Prepare two projects you led end to end, each with the decision you owned and what it cost.
- Have three questions about the team's roadmap and how success is measured in the first six months.
Code Review Exercise
reportedPractical evaluation consisting of a take-home task or pre-prepared pull request.
What to demonstrate
- Practical evaluation consisting of a take-home task or pre-prepared pull request
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: Implement a recursive function to resolve circular dependencies within a software project's configuration file.
- Answer aloud and timed: Design a service that consumes a public package registry feed and dynamically updates a vulnerability database in real time.
Live Pairing Session
reportedInteractive coding session to assess your technical skills in real-time.
What to demonstrate
- Interactive coding session to assess your technical skills in real-time
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: Walk through the architecture of a complex system you designed in a previous role, explaining your technology choices, trade-offs, and how you handled failures.
- Answer aloud and timed: Design a rate-limiting middleware for a public-facing API gateway that supports millions of requests daily.
System Design Interview
reportedAssessment of your ability to design systems and architecture solutions.
What to demonstrate
- Assessment of your ability to design systems and architecture solutions
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: How would you architect a secure, parallelized code analysis engine that scans pull requests without blocking developer workflows?
- Answer aloud and timed: Design a caching strategy for a microservice that frequently queries deep hierarchical data structures.
Behavioral Interview
reportedFinal round focused on cultural fit and behavioral questions with senior engineering leaders.
What to demonstrate
- Final round focused on cultural fit and behavioral questions with senior engineering leaders
- Depth in Software Engineering (General)
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 interview above and write down what you would ask to confirm before it.
PracHub editorial advice for the preparation topics above.
Going into the loop without having done this.
Manage your time during live coding: During the PR review pairing session, do not rush straight into coding. Spend the first few minutes discussing your approach with the interviewers, outlining your plan, and identifying potential edge cases.
Going into the loop without having done this.
If you run short on time during the live coding phase, explicitly write out pseudo-code and explain your logic. Snyk interviewers value your thought process, communication, and systematic approach to problem-solving far more than a rushed, incomplete solution.
Going into the loop without having done this.
Emphasize testing and edge cases: When writing or refactoring code during the technical rounds, always write corresponding unit tests. Proactively call out edge cases, such as network timeouts, null inputs, or empty data structures, and show how your code handles them securely.
Going into the loop without having done this.
Study Snyk's company values: Be ready to weave the company's core values into your behavioral answers. Think of specific examples from your career where you demonstrated deep care for a customer's problem, worked as "One Team" to resolve a crisis, or took a forward-thinking approach to a technical challenge.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Write an algorithm to traverse a deep package dependency graph and output the flat dependency tree in a readab
Write an algorithm to traverse a deep package dependency graph and output the flat dependency tree in a readable format.
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?
Solve a string manipulation problem similar to removing all adjacent duplicates in a string (e.g., simulating
Solve a string manipulation problem similar to removing all adjacent duplicates in a string (e.g., simulating a chemical reaction of adjacent elements).
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?
Implement an algorithm to encrypt or decrypt a message based on a shifting key, handling edge cases and optimi
Implement an algorithm to encrypt or decrypt a message based on a shifting key, handling edge cases and optimizing for performance.
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?
Implement a recursive function to resolve circular dependencies within a software project's configuration file
Implement a recursive function to resolve circular dependencies within a software project's configuration file.
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?
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?
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?
Write a function that accepts a package name and version, fetches its upstream dependencies from a mock API, a
Write a function that accepts a package name and version, fetches its upstream dependencies from a mock API, and handles network timeouts and retries.
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?
Design a service that consumes a public package registry feed and dynamically updates a vulnerability database
Design a service that consumes a public package registry feed and dynamically updates a vulnerability database in real time.
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?
Walk through the architecture of a complex system you designed in a previous role, explaining your technology
Walk through the architecture of a complex system you designed in a previous role, explaining your technology choices, trade-offs, and how you handled failures.
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 rate-limiting middleware for a public-facing API gateway that supports millions of requests daily.
Design a rate-limiting middleware for a public-facing API gateway that supports millions of requests daily.
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 architect a secure, parallelized code analysis engine that scans pull requests without blocking
How would you architect a secure, parallelized code analysis engine that scans pull requests without blocking developer workflows?
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 caching strategy for a microservice that frequently queries deep hierarchical data structures.
Design a caching strategy for a microservice that frequently queries deep hierarchical data structures.
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?
Review a pull request in Node.js or Go, identifying security vulnerabilities, performance bottlenecks, and str
Review a pull request in Node.js or Go, identifying security vulnerabilities, performance bottlenecks, and structural code issues.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Given a pull request with a functional bug, write a failing unit test, fix the underlying code, and refactor i
Given a pull request with a functional bug, write a failing unit test, fix the underlying code, and refactor it for better readability.
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?
Implement input validation, caching, and parallel execution on top of an existing, simple REST endpoint.
Implement input validation, caching, and parallel execution on top of an existing, simple REST endpoint.
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?
How would you approach refactoring a legacy monolithic service into a set of highly focused, event-driven micr
How would you approach refactoring a legacy monolithic service into a set of highly focused, event-driven microservices?
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?
Exports duplicate a row range about once a week
Roughly once a week an export writes a file containing a duplicated range of rows. The affected job_run rows show attempt = 1, status = succeeded, one started_at, and a lease_owner naming a different host from the one whose logs show the job starting. Leases last 30 seconds and are heartbeated every 10 from inside the handler; lease_expires_at is computed on the worker and compared against the database's now(). Find the mechanism, and give a fix that holds even if you cannot fix the clocks.
Approach
- Start from the fact that eliminates the obvious answer. attempt = 1 means no retry was recorded, so this is not a re-run after failure; two workers ran the same row concurrently and the takeover path never touched the counter. lease_owner naming a host other than the one that started the job is the same statement from the other side.
- Enumerate the mechanisms that cause a premature takeover, then find the signal that separates them. Either the lease genuinely expired because the heartbeat did not fire, which is what happens when the heartbeat runs on the handler's own thread and the handler makes a long blocking call, or it only appeared expired because two clocks disagree, since lease_expires_at is written from the worker's clock and evaluated against the database's. The discriminator is the distribution: incidents clustered on the longest exports indict the heartbeat, incidents clustered on one host indict skew. Measure both, and measure each host's offset against the database directly.
- Read the reclaim query precisely. In PostgreSQL now() is transaction start time, not statement time, so a reclaimer holding a long transaction compares against an older timestamp than expected; clock_timestamp() is the statement-time function. This is worth ruling in or out before you redesign anything, because it changes which rows look expired.
- Remove the second clock rather than trying to synchronise it. Issue and extend the lease in the database, with lease_expires_at = now() + interval '30 seconds' in both the claim and the heartbeat, so exactly one clock is ever compared and worker skew stops mattering to this predicate.
Follow-up
- The displaced worker has already streamed half the file to object storage. What makes that side effect safe to repeat?
- You now count takeovers. What alert fires on that counter, and at what threshold?
Built from the rounds and topics Snyk candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Snyk loop
- Write out the reported sequence: Recruiter Call, Hiring Manager Conversation, Code Review Exercise, Live Pairing Session, System Design Interview, Behavioral Interview.
- 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 6 reported rounds, with the weakest marked.
02Work Software Engineering (General)
- Spend the session on Software Engineering (General), which Snyk candidates report being tested on.
- Write one worked example in Software Engineering (General) and time yourself on it.
Deliverable: One timed worked example in Software Engineering (General).
03Work Take-Home Assignments
- Spend the session on Take-Home Assignments, which Snyk candidates report being tested on.
- Write one worked example in Take-Home Assignments and time yourself on it.
Deliverable: One timed worked example in Take-Home Assignments.
04Work API Design / Building Services
- Spend the session on API Design / Building Services, which Snyk candidates report being tested on.
- Write one worked example in API Design / Building Services and time yourself on it.
Deliverable: One timed worked example in API Design / Building Services.
05Answer out loud: Coding and Problem-Solving
- Answer aloud, timed: Write an algorithm to traverse a deep package dependency graph and output the flat dependency tree in a readable format.
- Answer aloud, timed: Solve a string manipulation problem similar to removing all adjacent duplicates in a string (e.g., simulating a chemical reaction of adjacent elements).
Deliverable: Spoken answers to 2 reported Coding and Problem-Solving question(s), under time.
06Answer out loud: System Design and Architecture
- Answer aloud, timed: Design a service that consumes a public package registry feed and dynamically updates a vulnerability database in real time.
- Answer aloud, timed: Walk through the architecture of a complex system you designed in a previous role, explaining your technology choices, trade-offs, and how you handled failures.
Deliverable: Spoken answers to 2 reported System Design and Architecture question(s), under time.
07Answer out loud: Code Review and Practical Engineering
- Answer aloud, timed: Review a pull request in Node.js or Go, identifying security vulnerabilities, performance bottlenecks, and structural code issues.
- Answer aloud, timed: Given a pull request with a functional bug, write a failing unit test, fix the underlying code, and refactor it for better readability.
Deliverable: Spoken answers to 2 reported Code Review and Practical 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.
Tell me about a time you disagreed with a teammate's technical approach. How did you handle the situation and
Tell me about a time you disagreed with a teammate's technical approach. How did you handle the situation and reach a consensus?
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 mentor a junior engineer or help a team member overcome a difficult tech
Describe a situation where you had to mentor a junior engineer or help a team member overcome a difficult technical roadblock.
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 a major incident occurred in production. How did you handle the immediate stress, resolve
Tell me about a time a major incident occurred in production. How did you handle the immediate stress, resolve the issue, and prevent it from happening again?
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?
Why do you want to work at Snyk, and how do you stay updated on modern application security trends?
Why do you want to work at Snyk, and how do you stay updated on modern application security trends?
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 disagreed with a teammate's technical approach. How did you handle the situation and reach a consensus?
- 02
Describe a situation where you had to mentor a junior engineer or help a team member overcome a difficult technical roadblock.
- 03
Tell me about a time a major incident occurred in production. How did you handle the immediate stress, resolve the issue, and prevent it from happening again?
- 04
Why do you want to work at Snyk, and how do you stay updated on modern application security trends?
How long does the entire interview process typically take?
The process generally takes between three to six weeks from the initial recruiter screen to the final offer. However, timelines can occasionally stretch longer due to timezone coordination, holidays, or specific team alignment needs.
Snyk Software Engineer candidate reports ↗Is Snyk really open to candidates who do not know Go or TypeScript?
Yes, Snyk is open to hiring talented engineers from diverse language backgrounds. However, because the technical rounds (especially the PR review) are often conducted in Go or Node.js, you must be prepared to read, understand, and write code in one of these languages during the live sessions.
Snyk Software Engineer candidate reports ↗How technical are the conversations with engineering managers and directors?
These conversations are a blend of high-level technical discussions and behavioral questions. While you won't be writing code, you should expect to discuss system design concepts, architectural trade-offs, and how you have solved complex technical challenges in your past roles.
Snyk Software Engineer candidate reports ↗What is the hybrid work policy at Snyk?
Snyk operates on a hybrid model in most of its major hubs, including Boston, London, and Tel Aviv. You will typically be expected to work from the local office a few days a week, so matching the specific location requirements listed in the job description is highly critical.
Snyk Software Engineer candidate reports ↗How hard is the Snyk interview?
Candidates most commonly rate Snyk interviews as medium, based on 182 reported interviews. About 40% of candidates who interview go on to receive an offer.
Snyk Software Engineer candidate reports ↗What topics does Snyk test in interviews?
Snyk interviews most often cover Problem Solving, Stakeholder Management, Communication Skills, Pair Programming, and Objection handling. The exact emphasis depends on the specific role you apply for.
Snyk Software Engineer candidate reports ↗Is Snyk a good place to work?
Employees rate Snyk 3.5 out of 5 overall, based on aggregated workplace reviews spanning career growth, work-life balance, compensation, culture, and management.
Snyk Software Engineer candidate reports ↗Where is Snyk headquartered?
Snyk is headquartered in Boston, US.
Snyk Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
Official role evidence, timestamped platform data and clearly labeled preparation advice.
- 01Snyk Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
candidate · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
platform · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
platform · Accessed 2026-09-22
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