As a Software Engineer at Litify, you play a pivotal role in shaping and maintaining the legal operating platform that empowers modern law firms and legal departments. This position bridges complex enterprise software engineering with the specialized needs of the legal industry, often leveraging platforms like Salesforce and cloud infrastructure like AWS. Your day-to-day work directly impacts how legal professionals manage intakes, matters, and documents, making your technical contributions central to business efficiency and client success. The role involves designing, building, and scaling robust applications within a fast-paced environment. Whether you are developing automated workflows, configuring permission sets and sharing models, or building custom applications from scratch, your work must balance technical elegance with user-centric functionality. You will collaborate closely with product managers, quality engineers, and peer developers to deliver solutions that are both secure and scalable. Expect a culture that values clear communication, structured problem-solving, and technical ownership. While interviews can be rigorous, the organization prides itself on maintaining a transparent and respectful candidate experience. Success here requires a blend of deep technical competence—particularly in CRM ecosystems or cloud architecture—and a genuine enthusiasm for solving intricate business logic problems.
HR Phone Screen
reportedInitial screening call with HR to assess candidate fit and discuss the role.
What to demonstrate
- Initial screening call with HR to assess candidate fit and discuss the role
- Depth in Salesforce
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 delve deeper into the candidate's experience and expectations.
What to demonstrate
- Discussion with the hiring manager to delve deeper into the candidate's experience and expectations
- Depth in Salesforce
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.
Peer Panel Interview
reportedInterview with a panel of peers to evaluate technical skills and team fit.
What to demonstrate
- Interview with a panel of peers to evaluate technical skills and team fit
- Depth in Salesforce
How to prepare
- Answer aloud and timed: What experience do you have with AWS services, and how do you integrate cloud architecture with enterprise platforms?
- Answer aloud and timed: Walk me through your implementation of the case study provided during the technical assessment.
Technical Demo/Case Study
reportedHands-on demonstration or presentation of a technical case study to showcase problem-solving abilities.
What to demonstrate
- Hands-on demonstration or presentation of a technical case study to showcase problem-solving abilities
- Depth in Salesforce
How to prepare
- Answer aloud and timed: How do you test and validate your automated flows before presenting them to stakeholders?
- Answer aloud and timed: What steps do you take when troubleshooting a broken deployment or a failing integration?
PracHub editorial advice for the preparation topics above.
Structure your demo presentation
When presenting your case study implementation, start with a high-level summary of your design before diving into granular configurations. This keeps your audience engaged and aligned.
Communicate your assumptions
During technical and case study rounds, explicitly state any assumptions you are making about business logic or data structures. Interviewers value transparency and structured thinking over silent guessing.
Focus on best practices
Always keep security, governor limits, and scalability in mind when discussing or building solutions. Mentioning how your code or flows will perform at scale sets you apart as a senior-minded engineer.
Align with user needs
Keep the legal professional and end user at the center of your answers. Showing empathy for how your software makes a lawyer's day easier demonstrates strong product sense.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Diff a projection against the primary without per-row point reads
The listing projection has drifted and some rows show a stale version. The primary holds 40,000,000 resource rows across 12,000 tenants while serving 1,200 writes and 14,000 reads per second. The obvious repair, reading each resource row and comparing its version against the projection, is correct and would eventually finish. Explain precisely why it is unacceptable here, then give a diff that finds the differing rows, state its complexity, and make it safe to run against a live primary. Replication lag is usually under 100 ms and is not bounded.
Approach
- Quantify the naive cost rather than calling it slow: 40,000,000 point reads at even 0.5 ms each is over five hours serialised, and the only lever is concurrency, which is exactly what you cannot spend. The primary's pool is sized for the write path, and 40,000,000 random reads evict the buffer cache that sustains the 85 percent cache hit rate, so the audit degrades the system it is auditing.
- Replace random access with one ordered pass per side. Both sides can be read in (tenant_id, resource_id) order, which is a sequential scan on each and a merge join in O(n) time and O(1) memory. For a dense diff that is the whole answer, and it reads the primary once instead of 40,000,000 times.
- For the expected sparse case, compare range hashes instead of rows: partition the key space, compute per range an order-independent aggregate over hash(resource_id, version), compare aggregates, and descend only into ranges that differ. With d differing rows and branching factor B, at most d ranges mismatch per level, so the drill-down examines O(d log_B(n/d)) ranges and reads full rows only in mismatching leaves.
- Aggregate with a sum modulo 2^64 or a multiset hash, never XOR. XOR is order-independent but self-cancelling, so two rows wrong in the same way, or a row duplicated on one side, leave the range aggregate matching and the range is declared clean.
Follow-up
- The diff reports 900 stale rows. How do you decide between patching those rows and rebuilding the projection from resource_revision?
- Same job, but the projection lives in a search index that cannot be scanned in key order. What changes?
Find overlapping job attempts and peak concurrency from lease records
A day of job_run history yields about 50,000,000 attempt records: (job_run_id, job_type, attempt, started_at, finished_at which is NULL when the worker died, lease_expires_at). Leases expire on a clock, so a job that outran its lease ran twice. Produce (a) every job_run_id whose attempts overlapped in wall-clock time and (b) the peak number of simultaneously running attempts per job_type with the minute it occurred. Target O(n log n). State how you treat a NULL finished_at and what clock skew does to your answer.
Approach
- Define the interval before sorting anything: an attempt occupies [started_at, COALESCE(finished_at, lease_expires_at)). finished_at is observed and lease_expires_at is only a promise, so every attempt without a finish contributes an estimate and the whole result is a lower bound on overlap rather than an exact count.
- For peak concurrency, sweep: emit 2n endpoints, sort by (timestamp, kind) with ends ordered before starts at equal timestamps, then walk the sequence maintaining a counter per job_type and record each type's maximum with its timestamp. O(n log n) dominated by the sort, O(n) space, or O(1) extra if the sort is external and the walk streams.
- For overlap detection, do not compare attempts pairwise. A single global sort by (job_run_id, started_at) gives both the grouping and the order; within a group, keep the maximum end seen so far and report an overlap exactly when the next start is less than that running maximum, which is one linear pass after the sort.
- Half-open intervals matter and are easy to get wrong: with closed intervals an attempt ending at the same millisecond another begins reads as concurrency two, and across 50,000,000 records that artefact swamps the real signal.
Follow-up
- A handler is not idempotent and you have found 400 overlapping jobs. Which of them actually caused damage, and what would you query to find out?
- Peak concurrency for one job_type is 4 against a configured cap of 4. Is the cap working, or is the data hiding attempts that never started?
Track a rolling failure rate per destination for circuit decisions
The egress service delivers about 1,500 webhooks per second across roughly 40,000 destinations, each call bounded by a 10 second timeout. Maintain, per destination, the failure rate over the trailing 60 seconds so a caller can ask before dispatch whether the circuit should open. Attempts arrive as (destination_id, finished_at_ms, outcome). Requirement: amortised O(1) per attempt, with total memory bounded by the destination count rather than by traffic. Give the structure, its exact memory, and the rule that stops a destination with three attempts from opening a circuit.
Approach
- Name the exact-deque version and then reject it as the default. Holding timestamps and advancing a tail pointer past anything older than now minus 60 seconds is a correct two-pointer window at amortised O(1) per attempt, but its memory tracks in-window traffic, so one destination in a retry storm holds hundreds of thousands of entries while thousands of quiet destinations hold none.
- Use a ring of 60 one-second buckets per destination, each bucket a pair of counters for attempts and failures. On an attempt, advance the ring by the elapsed whole seconds, zeroing at most min(elapsed, 60) buckets, then increment the head. That is amortised O(1) with a fixed footprint per destination.
- State the footprint: 60 buckets times two 4-byte counters is 480 bytes of payload per destination, so 40,000 destinations is roughly 20 to 25 MB with per-entry overhead, bounded by the catalogue rather than by the rate. The cost is granularity, since the oldest bucket ages out in whole seconds, which is far tighter than the decision needs.
- Require a minimum sample before the circuit may open. A destination with three attempts and three failures reads as 100 percent and is not evidence; a floor of roughly 20 attempts in the window makes the ratio meaningful, and below that floor use a run of consecutive failures as the trigger instead.
Follow-up
- The fleet is 30 instances and each sees roughly a thirtieth of a destination's traffic. Where does the rate actually live, and what does a per-instance answer get wrong?
- A destination answers in 9.5 seconds and succeeds. It is not failing but it is consuming your per-destination concurrency. What signal should open the circuit here?
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?
Find version gaps and relay lag with window functions
outbox_event holds event_id, aggregate_type, aggregate_id, aggregate_version, event_type, payload, status ('pending','published','dead'), attempts, created_at, published_at. A projection is missing rows and you must decide whether the relay skipped events or the consumer dropped them. Write three queries over the last seven days: one listing every aggregate_id whose published aggregate_version sequence has a hole, one giving per-day counts with a running total, and one returning the newest published event per aggregate. For each, say where the window function is evaluated relative to WHERE and LIMIT. PostgreSQL 16.
Approach
- Gaps: compute lead(aggregate_version) OVER (PARTITION BY aggregate_id ORDER BY aggregate_version) in a subquery, then filter next_version <> aggregate_version + 1 in the outer query. Window functions are evaluated after WHERE, GROUP BY and HAVING and before the outer ORDER BY and LIMIT, so the predicate cannot sit in the same WHERE clause and PostgreSQL 16 has no QUALIFY.
- Say what the seven-day filter does to the answer: it truncates every partition, so the first row per aggregate has no predecessor inside the window and a hole spanning the boundary is invisible. Widen the window, or join to resource.version as the authority for the true maximum.
- Running total: SELECT date_trunc('day', created_at) AS d, count() AS n, sum(count()) OVER (ORDER BY date_trunc('day', created_at) ROWS UNBOUNDED PRECEDING). An aggregate inside a window call is legal because grouping runs before windowing. The grouping key is unique per row here so ROWS and RANGE agree, but write the frame anyway — over ungrouped rows with tied timestamps the default RANGE frame pulls in every peer row and the total jumps.
- Newest per aggregate: DISTINCT ON (aggregate_id) ... ORDER BY aggregate_id, aggregate_version DESC is the cheap PostgreSQL-only form when an index matches that order; row_number() OVER (PARTITION BY aggregate_id ORDER BY aggregate_version DESC) = 1 is the portable form and needs a subquery for the same evaluation-order reason as the gap query.
Follow-up
- Relay failover redelivers events. Does a duplicate break the gap query, and how would you detect one from this table alone?
- Turn the gap check into a continuous monitor rather than a query someone runs after an incident. What does it watch?
How do you implement automated flows using Flowbuilder to handle complex business logic?
How do you implement automated flows using Flowbuilder to handle complex business logic?
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?
Can you explain your approach to managing user licenses, permission sets, and sharing rules for secure object
Can you explain your approach to managing user licenses, permission sets, and sharing rules for secure object access?
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 strategies do you use to optimize custom formulas and triggers for governor limit efficiency?
What strategies do you use to optimize custom formulas and triggers for governor limit efficiency?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you design a custom messaging application or integration within an existing CRM ecosystem?
How would you design a custom messaging application or integration within an existing CRM ecosystem?
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?
What experience do you have with AWS services, and how do you integrate cloud architecture with enterprise pla
What experience do you have with AWS services, and how do you integrate cloud architecture with enterprise platforms?
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 me through your implementation of the case study provided during the technical assessment.
Walk me through your implementation of the case study provided during the technical assessment.
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 test and validate your automated flows before presenting them to stakeholders?
How do you test and validate your automated flows before presenting them to stakeholders?
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 approach gathering requirements for a new sales-related technical workflow?
How do you approach gathering requirements for a new sales-related technical workflow?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
What steps do you take when troubleshooting a broken deployment or a failing integration?
What steps do you take when troubleshooting a broken deployment or a failing integration?
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- Separate the trigger from the cause; the deploy is rarely the bug.
Follow-up
- What would you look at first, and what would it rule out?
- How would you tell a cause from a coincidence here?
Built from the rounds and topics Litify candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Litify loop
- Write out the reported sequence: HR Phone Screen, Hiring Manager Conversation, Peer Panel Interview, Technical Demo/Case Study.
- 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 Salesforce
- Spend the session on Salesforce, which Litify candidates report being tested on.
- Write one worked example in Salesforce and time yourself on it.
Deliverable: One timed worked example in Salesforce.
03Work Salesforce Flows (Flow Builder)
- Spend the session on Salesforce Flows (Flow Builder), which Litify candidates report being tested on.
- Write one worked example in Salesforce Flows (Flow Builder) and time yourself on it.
Deliverable: One timed worked example in Salesforce Flows (Flow Builder).
04Work Salesforce Formulas
- Spend the session on Salesforce Formulas, which Litify candidates report being tested on.
- Write one worked example in Salesforce Formulas and time yourself on it.
Deliverable: One timed worked example in Salesforce Formulas.
05Answer out loud: Technical and Salesforce Domain Questions
- Answer aloud, timed: How do you implement automated flows using Flowbuilder to handle complex business logic?
- Answer aloud, timed: Can you explain your approach to managing user licenses, permission sets, and sharing rules for secure object access?
Deliverable: Spoken answers to 2 reported Technical and Salesforce Domain Questions question(s), under time.
06Answer out loud: Case Study and Implementation Questions
- Answer aloud, timed: Walk me through your implementation of the case study provided during the technical assessment.
- Answer aloud, timed: How do you test and validate your automated flows before presenting them to stakeholders?
Deliverable: Spoken answers to 2 reported Case Study and Implementation Questions question(s), under time.
07Answer out loud: Behavioral and Collaboration Questions
- Answer aloud, timed: Can you describe a time when you had to explain a complex technical solution to a non-technical stakeholder?
- Answer aloud, timed: How do you handle shifting priorities and tight deadlines in a fast-paced engineering environment?
Deliverable: Spoken answers to 2 reported Behavioral and Collaboration Questions 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.
Can you describe a time when you had to explain a complex technical solution to a non-technical stakeholder?
Can you describe a time when you had to explain a complex technical solution to a non-technical stakeholder?
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 shifting priorities and tight deadlines in a fast-paced engineering environment?
How do you handle shifting priorities and tight deadlines in a fast-paced engineering environment?
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?
What is your approach to giving and receiving constructive feedback during peer code reviews?
What is your approach to giving and receiving constructive feedback during peer code reviews?
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 are you interested in building legal technology solutions at Litify?
Why are you interested in building legal technology solutions at Litify?
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
Can you describe a time when you had to explain a complex technical solution to a non-technical stakeholder?
- 02
How do you handle shifting priorities and tight deadlines in a fast-paced engineering environment?
- 03
What is your approach to giving and receiving constructive feedback during peer code reviews?
- 04
Why are you interested in building legal technology solutions at Litify?
How difficult is the interview process at Litify?
The interview process is moderately rigorous, balancing standard technical evaluations with practical, hands-on case studies. While the questions are fair and directly related to the daily work, preparation is essential—especially for the live presentation and demo rounds.
Litify Software Engineer candidate reports ↗How long does the entire interview loop take?
Most candidates complete the four-stage interview process within two to four weeks. The timeline is kept efficient, with recruiters and hiring managers maintaining transparent communication throughout.
Litify Software Engineer candidate reports ↗What should I expect during the demo interview?
The demo interview typically involves presenting your solution to a case study—such as a configured Salesforce org with automated flows and permission sets—to a panel of engineers and managers. Be prepared to explain your architectural decisions and handle live questions about your implementation.
Litify Software Engineer candidate reports ↗Is remote work an option for Software Engineers?
Depending on the specific team and job posting, roles range from fully remote across the United States to hybrid or on-site positions in New York, NY or San Diego, CA. Check individual job descriptions for exact location requirements.
Litify Software Engineer candidate reports ↗What differentiates successful candidates from the rest?
Successful candidates combine technical proficiency with strong communication skills. They do not just write working code or configurations; they clearly articulate *why* they chose a specific approach and how it serves the end user.
Litify Software Engineer candidate reports ↗What topics does Litify test in interviews?
Litify interviews most often cover Stakeholder Management, Requirements Gathering, Business Process Mapping, Solutions Engineering, and Salesforce. The exact emphasis depends on the specific role you apply for.
Litify 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.
- 01Litify 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