A Software Engineer at Simplify Healthcare plays a vital role in building and scaling enterprise-grade SaaS solutions tailored for the healthcare payer industry. The company's core mission is to solve complex administrative challenges for healthcare insurance providers, which requires highly reliable, secure, and performant software. As an engineer here, you will contribute directly to products that automate benefit plan management, provider data orchestration, and regulatory compliance workflows. Your work will directly impact how healthcare payers manage massive datasets, ensuring accuracy and operational efficiency. This role is highly critical because healthcare systems demand zero-tolerance for data errors and strict adherence to compliance standards. You will be tasked with designing robust backend architectures, optimizing database performance, and creating intuitive user interfaces that simplify intricate healthcare workflows. At Simplify Healthcare, engineering is not just about writing code; it is about solving real-world domain complexities. Working primarily out of the development center in, you will collaborate with cross-functional teams to build scalable web applications. The role offers a unique blend of deep technical challenges—such as handling high-throughput asynchronous processing—and rich domain learning in the rapidly growing healthcare technology sector. Pune
Recruiter Screening Call
reportedInitial call to align on expectations and discuss the candidate's background.
What to demonstrate
- Initial call to align on expectations and discuss the candidate's background
- Depth in C#
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.
Online Assessment
reportedInitial coding or machine test designed to filter for strong problem-solving skills.
What to demonstrate
- Initial coding or machine test designed to filter for strong problem-solving skills
- Depth in C#
How to prepare
- Answer aloud and timed: How do asynchronous programming patterns (async/await) improve application scalability, and what happens under the hood when a thread is yielded?
- Answer aloud and timed: Describe the lifecycle of an ASP.NET MVC request from the moment it hits the routing engine to the rendering of the view.
Technical Rounds
reportedOne or two deep-dive technical discussions to evaluate practical execution capabilities.
What to demonstrate
- One or two deep-dive technical discussions to evaluate practical execution capabilities
- Depth in C#
How to prepare
- Answer aloud and timed: What is a Common Table Expression (CTE), and in what scenarios would you prefer it over a subquery or a temporary table?
- Answer aloud and timed: Explain the practical differences between a Temp Table (#temp) and a Table Variable (@table) in terms of scope and performance.
HR Discussion
reportedFinal stage focused on behavioral fit, cultural alignment, and compensation negotiation.
What to demonstrate
- Final stage focused on behavioral fit, cultural alignment, and compensation negotiation
- Depth in C#
How to prepare
- Answer aloud and timed: How do database Triggers work, and what are the potential performance risks associated with using them extensively in high-transaction environments?
- Answer aloud and timed: Write a stored procedure that handles complex business logic while ensuring proper transaction management and error handling.
PracHub editorial advice for the preparation topics above.
Prepare for strict machine test environments
Some online coding platforms do not allow you to run intermediate tests or view console outputs. Practice writing code that is syntactically correct and logically sound on your first draft.
Do not neglect SQL Server
Many candidates focus solely on coding and overlook database questions. Be prepared to explain complex SQL concepts, as database performance is a major focal point for the engineering team.
Clarify compensation expectations early
Ensure you have a transparent conversation with the HR recruiter regarding budget and salary expectations during the initial screening call to avoid misalignment later in the process.
Be ready to explain your resume in detail
Interviewers will ask specific questions about the architecture, tech stack, and your individual contributions to the projects listed on your resume.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
How do asynchronous programming patterns (async/await) improve application scalability, and what happens under
How do asynchronous programming patterns (async/await) improve application scalability, and what happens under the hood when a thread is yielded?
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?
Write a program to manipulate a multi-dimensional (2D or 3D) array to achieve a specific target output without
Write a program to manipulate a multi-dimensional (2D or 3D) array to achieve a specific target output without using built-in high-level library functions.
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 an array of integers, write an optimized algorithm to find the longest contiguous subarray with a sum eq
Given an array of integers, write an optimized algorithm to find the longest contiguous subarray with a sum equal to a given value.
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 custom sorting or filtering algorithm on a complex collection of objects while optimizing for both
Implement a custom sorting or filtering algorithm on a complex collection of objects while optimizing for both time and space complexity.
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 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?
Keep soft-deleted accounts from blocking re-registration
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
What is the difference between.NET Core and.NET Framework, and how do you decide which to use for a new projec
What is the difference between.NET Core and.NET Framework, and how do you decide which to use for a new project?
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 the concept of Dependency Injection and how it is implemented natively in ASP.NET Core.
Explain the concept of Dependency Injection and how it is implemented natively in ASP.NET Core.
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?
Describe the lifecycle of an ASP.NET MVC request from the moment it hits the routing engine to the rendering o
Describe the lifecycle of an ASP.NET MVC request from the moment it hits the routing engine to the rendering of the view.
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 is a Common Table Expression (CTE), and in what scenarios would you prefer it over a subquery or a tempor
What is a Common Table Expression (CTE), and in what scenarios would you prefer it over a subquery or a temporary table?
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 the practical differences between a Temp Table (#temp) and a Table Variable (@table) in terms of scope
Explain the practical differences between a Temp Table (#temp) and a Table Variable (@table) in terms of scope and performance.
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 database Triggers work, and what are the potential performance risks associated with using them extensi
How do database Triggers work, and what are the potential performance risks associated with using them extensively in high-transaction environments?
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?
Write a stored procedure that handles complex business logic while ensuring proper transaction management and
Write a stored procedure that handles complex business logic while ensuring proper transaction management and error handling.
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 the concept of Polymorphism and provide a real-world scenario where you would implement method overrid
Explain the concept of Polymorphism and provide a real-world scenario where you would implement method overriding versus method overloading.
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 design a system to adhere to the Single Responsibility Principle when dealing with complex healthca
How do you design a system to adhere to the Single Responsibility Principle when dealing with complex healthcare billing logic?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Describe a scenario where you implemented a specific design pattern (e.g., Factory, Singleton, or Repository)
Describe a scenario where you implemented a specific design pattern (e.g., Factory, Singleton, or Repository) to solve an architectural challenge.
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?
Edge instances grow 400 MB per hour until the nightly restart
Edge API instances start at 700 MB resident and grow about 400 MB/hour; a nightly rolling restart has hidden it for weeks. Growth continues unchanged when request rate halves overnight, p99 degrades in the last hours before an instance is recycled, and heap used immediately after a forced full GC rises monotonically. The service holds no product state. Name the discriminating measurement that separates the plausible causes, give the most likely cause, and give the fix and how you would verify it.
Approach
- Separate resident memory from live heap first, because they fail differently. Resident size can grow from fragmentation, native buffers or thread stacks while the heap is flat; heap used after a full GC rising monotonically is the measurement that says objects are reachable and not being released. You already have it, so this is retention, not fragmentation, and that closes off half the candidate list.
- Use the rate's independence from traffic as the discriminator. Growth that continues at half the request rate rules out per-request objects that are merely slow to collect and points at a structure that grows with distinct values observed rather than with call volume. Write the candidates that have that property: a metrics registry keyed on a high-cardinality label, an unevicted cache, an interner, a per-key lock map.
- Take two heap snapshots an hour apart and diff by retained size, reading the dominator tree, not by allocation count or instance count. Expect one root holding a map with millions of entries, then follow the reference chain to the code that inserts and never removes. Allocation profilers point at churn, which is the wrong signal here.
- The candidate that fits this service is an observability label carrying an identifier, such as a request path recorded before templating so that /v1/resources/48213 becomes its own metric series. That grows with distinct ids seen, is independent of rate, and explains the late p99 degradation, since GC cost rises with the size of the live set.
Follow-up
- Post-GC heap is now flat but resident size still creeps. What are you looking at, and does it matter?
- How would you have detected this before an OOM, given the nightly restart masked the trend?
Built from the rounds and topics Simplify healthcare candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Simplify healthcare loop
- Write out the reported sequence: Recruiter Screening Call, Online Assessment, Technical Rounds, HR Discussion.
- 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 C#
- Spend the session on C#, which Simplify healthcare candidates report being tested on.
- Write one worked example in C# and time yourself on it.
Deliverable: One timed worked example in C#.
03Work SQL
- Spend the session on SQL, which Simplify healthcare candidates report being tested on.
- Write one worked example in SQL and time yourself on it.
Deliverable: One timed worked example in SQL.
04Work MVC (Model-View-Controller)
- Spend the session on MVC (Model-View-Controller), which Simplify healthcare candidates report being tested on.
- Write one worked example in MVC (Model-View-Controller) and time yourself on it.
Deliverable: One timed worked example in MVC (Model-View-Controller).
05Answer out loud: C# and.NET Framework
- Answer aloud, timed: What is the difference between.NET Core and.NET Framework, and how do you decide which to use for a new project?
- Answer aloud, timed: Explain the concept of Dependency Injection and how it is implemented natively in ASP.NET Core.
Deliverable: Spoken answers to 2 reported C# and.NET Framework question(s), under time.
06Answer out loud: Database and SQL Server
- Answer aloud, timed: What is a Common Table Expression (CTE), and in what scenarios would you prefer it over a subquery or a temporary table?
- Answer aloud, timed: Explain the practical differences between a Temp Table (#temp) and a Table Variable (@table) in terms of scope and performance.
Deliverable: Spoken answers to 2 reported Database and SQL Server question(s), under time.
07Answer out loud: Object-Oriented Programming (OOP) & Design
- Answer aloud, timed: Explain the concept of Polymorphism and provide a real-world scenario where you would implement method overriding versus method overloading.
- Answer aloud, timed: How do you design a system to adhere to the Single Responsibility Principle when dealing with complex healthcare billing logic?
Deliverable: Spoken answers to 2 reported Object-Oriented Programming (OOP) & Design 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.
Argue against a design, lose, and commit anyway
Describe a design you argued against and lost. State the failure you predicted as a named mechanism, not a feeling about complexity: two services that would need one transaction, a projection with no rebuild path, a write path with no idempotency key. Say what evidence you brought, what the decision maker weighed instead, and what you did after the decision was made: what you instrumented, what you wrote down, and whether the prediction came true. Five minutes.
Approach
- State the prediction in falsifiable form up front: the mechanism, the condition that triggers it, and the observable outcome. A prediction that cannot be checked also cannot be credited to you later.
- Show the evidence you had at the time and label each piece honestly as measured, analogous, or intuition. Keeping the intuition is fine; disguising it as data is the thing that erodes your standing in the next argument.
- Represent the opposing case at full strength, including the constraint you did not control: a fixed date, a team boundary, or the fact that the decision was cheap to reverse and yours was not.
- Make disagree-and-commit concrete. Name the artefact you left behind so the prediction could be settled without you: the alert and its threshold, the counter on the dashboard, the decision note that recorded the trade-off and the condition that would revisit it.
Follow-up
- What threshold on that alert would have proved you right, and did anyone ever look at it?
- If the same proposal arrived tomorrow with the same deadline, would you argue it the same way?
Reverse your own decision and price the reversal
Describe a technical decision you made and later reversed. Pick one that cost something: a service you split and merged back, a cache you added and removed, an index you created that pushed the planner onto a worse plan, a projection you rebuilt from scratch. State what you believed when you decided, the measurement that changed your mind, how long the wrong version ran in production, and what the reversal cost in migrations, dual writes, and a deprecation window for callers you did not own.
Approach
- State the original rationale without irony, in the version you would still defend given what was known then. If it is not defensible, the story is about carelessness rather than judgement, and a different example serves you better.
- Give the measurement that moved with a before and after: the p99 that did not improve, the cache hit rate that sat at 40%, the plan that flipped to a sequential scan once the table passed a size you can name.
- Cost the reversal in steps, not adjectives: expand-and-contract deploys, the dual-write window, the callers who had to be notified, the rows already written in the wrong shape that had to be backfilled or abandoned.
- Distinguish reversal from rewrite by naming what you kept. Most good reversals preserve the schema or the interface and undo one decision inside it, which is also why they were affordable.
Follow-up
- What in that decision was irreversible, and did you know it was irreversible when you made it?
- How did you tell the people who had already built on top of the original decision?
Tell callers you do not own that their integration breaks
A field in a write endpoint's response must change shape. You own the endpoint; you do not own the four internal callers or the outbound webhook consumers who read it. Describe a deprecation you were responsible for: what you shipped first, how you established who was actually reading the field, the window you gave and what set its length, what you did about the consumer who never moved, and how you decided removal was safe. Name the signal you used, not the announcement you sent.
Approach
- Establish the reader set empirically rather than from a wiki of owners: per-field usage counters keyed by principal, or access logs attributed to a consumer. State the blind spot of whichever you pick, since a consumer that reads the field only on a monthly job will not appear in a week of logs.
- Ship additive first. Populate the new field alongside the old one so no reader is forced to move, which is also what keeps a rolling deploy safe, because old and new instances answer the same requests at the same time and a rollback must still find the old shape present.
- Set the window from the slowest legitimate consumer's release cadence, not from your calendar, and decide separately what to do for a consumer with no release process at all, such as an external webhook endpoint you can only email.
- Convert silence into evidence before you rely on it: a short, low-traffic removal window that makes a still-dependent consumer fail visibly and loudly while you are watching, rather than at three in the morning after you have moved on.
Follow-up
- How would you detect a consumer that reads the field only during a monthly export?
- One caller refuses to move and has a commercial relationship behind it. What changes in your plan and what does not?
- 01
Describe a design you argued against and lost. State the failure you predicted as a named mechanism, not a feeling about complexity: two services that would need one transaction, a projection with no rebuild path, a write path with no idempotency key. Say what evidence you brought, what the decision maker weighed instead, and what you did after the decision was made: what you instrumented, what you wrote down, and whether the prediction came true. Five minutes.
- 02
Describe a technical decision you made and later reversed. Pick one that cost something: a service you split and merged back, a cache you added and removed, an index you created that pushed the planner onto a worse plan, a projection you rebuilt from scratch. State what you believed when you decided, the measurement that changed your mind, how long the wrong version ran in production, and what the reversal cost in migrations, dual writes, and a deprecation window for callers you did not own.
- 03
A field in a write endpoint's response must change shape. You own the endpoint; you do not own the four internal callers or the outbound webhook consumers who read it. Describe a deprecation you were responsible for: what you shipped first, how you established who was actually reading the field, the window you gave and what set its length, what you did about the consumer who never moved, and how you decided removal was safe. Name the signal you used, not the announcement you sent.
What is the typical difficulty level of the technical interviews?
The technical interviews are generally rated as average in difficulty. The questions focus heavily on core engineering fundamentals, practical programming, and database query writing rather than highly abstract theoretical concepts.
Simplify healthcare Software Engineer candidate reports ↗How much preparation time is recommended before the interviews?
It is recommended to spend 1 to 2 weeks brushing up on core C#/.NET concepts, practicing medium-level array and string manipulation coding problems, and reviewing advanced SQL Server querying techniques.
Simplify healthcare Software Engineer candidate reports ↗What is the work culture like at Simplify Healthcare?
The culture is highly professional and collaborative. The organization places a strong emphasis on valuing candidates' time, often involving senior leadership in the interview process to demonstrate their investment in every potential hire.
Simplify healthcare Software Engineer candidate reports ↗Where is the primary office location for this role?
The role is primarily based out of the Simplify Healthcare development center located in the Pentagon building, Magarpatta City, Pune, Maharashtra. ##### Tip Simplify Healthcare is known for its strong post-offer engagement. Successful candidates have reported receiving welcoming gestures, such as corporate gift vouchers during festive seasons, even before their official joining date.
Simplify healthcare Software Engineer candidate reports ↗What topics does Simplify healthcare test in interviews?
Simplify healthcare interviews most often cover SQL, Project Management, Communication Skills, C#, and Healthcare Data Domain (Patient/Provider/Payer Claims). The exact emphasis depends on the specific role you apply for.
Simplify healthcare 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.
- 01Simplify healthcare 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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