At Lyric, a Software Engineer is responsible for designing, building, and scaling the core technology products and platforms that power our tech-driven real estate and hospitality operations. The engineering team is tasked with solving complex logistical, transactional, and operational challenges, translating real-world physical constraints into elegant software solutions. Whether you are working on the booking engines, inventory management systems, or the Replay platform, your work directly impacts our ability to deliver seamless, high-quality experiences to customers and partners alike. The engineering culture at Lyric emphasizes practical problem-solving and systemic thinking over rigid specialization. Because our systems interface with real-world operations, engineers must build highly reliable, scalable, and adaptable software. You will collaborate closely with cross-functional partners in Solution Engineering, Sales, and Operations to ensure our technical strategy aligns with business growth. This role offers the unique opportunity to work on large-scale distributed systems, complex optimization models, and legacy modernization efforts in a fast-paced environment. To succeed as a Software Engineer here, you must possess strong software engineering fundamentals, a generalist mindset, and the ability to navigate ambiguity. The team values clean code, robust architecture, and first-principles thinking.
Recruiter Screen
reportedInitial screening call with a recruiter to discuss your background and the role.
What to demonstrate
- Initial screening call with a recruiter to discuss your background and the role
- Depth in Live coding
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 Phone Screen
reportedA live coding challenge conducted over the phone to assess technical skills.
What to demonstrate
- A live coding challenge conducted over the phone to assess technical skills
- Depth in Live coding
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.
Onsite Interview Loop
reportedA comprehensive series of interviews including live programming, system design, and multiple 1-on-1 conversations.
What to demonstrate
- A comprehensive series of interviews including live programming, system design, and multiple 1-on-1 conversations
- Depth in Live coding
How to prepare
- Answer aloud and timed: Design a high-throughput, concurrent booking engine that guarantees zero double-bookings under peak traffic conditions.
- Answer aloud and timed: How would you design a data ingestion pipeline to process real-time telemetry and operational data from thousands of physical properties?
PracHub editorial advice for the preparation topics above.
Prepare for a rigorous onsite
The onsite interview is comprehensive and can include meetings with 8 to 9 team members back-to-back. Get plenty of rest beforehand, stay hydrated, and keep your energy levels high throughout the day.
Emphasize generalist experience
If you are interviewing for senior or staff-level roles, highlight your experience building large-scale, generalist systems. Lyric values engineers who can work across the stack and tackle diverse technical challenges.
Be ready to talk to leadership
Your interview loop will likely include a conversation with executive leaders, including the CEO. Be prepared to discuss your career journey, your engineering philosophy, and how you align with Lyric's business goals.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Implement a custom scheduling algorithm that optimizes booking distributions across a dynamic set of propertie
Implement a custom scheduling algorithm that optimizes booking distributions across a dynamic set of properties.
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?
Refactor a poorly structured block of code to improve its time complexity and maintainability while preserving
Refactor a poorly structured block of code to improve its time complexity and maintainability while preserving its original functionality.
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 clean, testable solution to resolve overlapping resource allocations within a shared inventory system.
Write a clean, testable solution to resolve overlapping resource allocations within a shared inventory system.
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?
Walk us through a technical project you led from inception to deployment, highlighting the trade-offs you made
Walk us through a technical project you led from inception to deployment, highlighting the trade-offs you made along the way.
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?
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?
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?
Design and write a program to parse, validate, and process high-volume transactional data from external partne
Design and write a program to parse, validate, and process high-volume transactional data from external partner APIs.
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, concurrent booking engine that guarantees zero double-bookings under peak traffic co
Design a high-throughput, concurrent booking engine that guarantees zero double-bookings under peak traffic conditions.
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 design a data ingestion pipeline to process real-time telemetry and operational data from thousa
How would you design a data ingestion pipeline to process real-time telemetry and operational data from thousands of physical properties?
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 your approach to migrating a legacy monolithic application to a microservices-based architecture with
Describe your approach to migrating a legacy monolithic application to a microservices-based architecture without causing system downtime.
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 an API gateway and authentication layer that supports both internal services and third-party developer
Design an API gateway and authentication layer that supports both internal services and third-party developer integrations.
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?
Present and walk through an optimization model designed to maximize resource utilization across a distributed
Present and walk through an optimization model designed to maximize resource utilization across a distributed network.
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 complex integration failure between our platform and a strategic partner's legacy
How would you troubleshoot a complex integration failure between our platform and a strategic partner's legacy API during a live support call?
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?
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 Lyric candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Lyric loop
- Write out the reported sequence: Recruiter Screen, Technical Phone Screen, Onsite Interview Loop.
- 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 Live coding
- Spend the session on Live coding, which Lyric candidates report being tested on.
- Write one worked example in Live coding and time yourself on it.
Deliverable: One timed worked example in Live coding.
03Work Programming problem solving
- Spend the session on Programming problem solving, which Lyric candidates report being tested on.
- Write one worked example in Programming problem solving and time yourself on it.
Deliverable: One timed worked example in Programming problem solving.
04Work Algorithmic thinking
- Spend the session on Algorithmic thinking, which Lyric candidates report being tested on.
- Write one worked example in Algorithmic thinking and time yourself on it.
Deliverable: One timed worked example in Algorithmic thinking.
05Answer out loud: Live Coding & Algorithmic Problem-Solving
- Answer aloud, timed: Implement a custom scheduling algorithm that optimizes booking distributions across a dynamic set of properties.
- Answer aloud, timed: Design and write a program to parse, validate, and process high-volume transactional data from external partner APIs.
Deliverable: Spoken answers to 2 reported Live Coding & Algorithmic Problem-Solving question(s), under time.
06Answer out loud: System Design & Architecture
- Answer aloud, timed: Design a high-throughput, concurrent booking engine that guarantees zero double-bookings under peak traffic conditions.
- Answer aloud, timed: How would you design a data ingestion pipeline to process real-time telemetry and operational data from thousands of physical properties?
Deliverable: Spoken answers to 2 reported System Design & Architecture question(s), under time.
07Answer out loud: Behavioral & Leadership
- Answer aloud, timed: Tell me about a time you had to work with a legacy codebase. How did you balance the need to deliver new features with the desire to refactor old code?
- Answer aloud, timed: Describe a situation where you had to collaborate with non-technical stakeholders, such as Sales or Operations, to deliver a complex technical feature.
Deliverable: Spoken answers to 2 reported Behavioral & Leadership 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 had to work with a legacy codebase. How did you balance the need to deliver new featu
Tell me about a time you had to work with a legacy codebase. How did you balance the need to deliver new features with the desire to refactor old code?
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 non-technical stakeholders, such as Sales or Operations
Describe a situation where you had to collaborate with non-technical stakeholders, such as Sales or Operations, to deliver a complex technical feature.
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 a situation where you disagree with a technical decision made by your manager or a senior ar
How do you handle a situation where you disagree with a technical decision made by your manager or a senior architect?
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 when you had to debug a critical production outage under tight time constraints. What was
Tell me about a time when you had to debug a critical production outage under tight time constraints. What was your process?
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 had to work with a legacy codebase. How did you balance the need to deliver new features with the desire to refactor old code?
- 02
Describe a situation where you had to collaborate with non-technical stakeholders, such as Sales or Operations, to deliver a complex technical feature.
- 03
How do you handle a situation where you disagree with a technical decision made by your manager or a senior architect?
- 04
Tell me about a time when you had to debug a critical production outage under tight time constraints. What was your process?
What is the engineering culture like at Lyric?
The engineering culture is highly collaborative, pragmatic, and business-focused. Engineers are encouraged to think like business owners, understanding the operational impact of their technical decisions. While there is a strong focus on work-life balance, the environment is fast-paced and requires a high degree of adaptability.
Lyric Software Engineer candidate reports ↗How can I stand out in the live coding interviews?
Focus on communication and clean code structure. Do not rush to write code immediately; instead, talk through your approach, discuss trade-offs, and ask clarifying questions. Write modular, readable code and proactively write test cases to validate your solution. ##### Tip If you are interviewing for a specialized role (e.g., Frontend or Solution Engineering), be prepared for general full-stack and systems-level questions. Lyric values generalist capabilities and often uses a standardized engineering loop across different titles.
Lyric Software Engineer candidate reports ↗How long does the entire interview process take?
Lyric is known for running a swift and efficient hiring process. Typically, the entire loop—from the initial recruiter phone call to the final offer decision—takes less than three weeks.
Lyric Software Engineer candidate reports ↗Does Lyric support remote work?
Yes, many of our software engineering roles, including Senior, Staff, and Principal positions, offer remote work options within the United States. Please confirm the specific location arrangements with your recruiter during your initial call.
Lyric Software Engineer candidate reports ↗What topics does Lyric test in interviews?
Lyric interviews most often cover Live coding, Product Management (Technical Product Manager), Programming problem solving, Cross-Functional Collaboration, and Algorithmic thinking. The exact emphasis depends on the specific role you apply for.
Lyric 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.
- 01Lyric 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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