As a Software Engineer at Lee Health, you play a vital role in building, maintaining, and optimizing the technology infrastructure that supports patient care and operational efficiency across Southwest Florida. This position directly impacts clinicians, administrative staff, and the community by ensuring that critical healthcare applications, web platforms, and clinical systems run reliably and securely. Whether you are working on digital product development, advanced application analysis, or core engineering solutions, your work directly translates to a better healthcare delivery experience. The scope of this role encompasses diverse technical domains, ranging from modern web development and digital user experiences to specialized healthcare platforms like Epic modules, contact center technologies, and clinical coding systems. You will collaborate closely with cross-functional teams of product managers, healthcare specialists, and IT professionals to deliver robust technical solutions. Navigating complex institutional requirements while delivering intuitive, high-performance software is both the core challenge and the primary reward of this position. Expect an environment that demands both technical depth and a strong commitment to organizational mission. Lee Health values engineers who can bridge the gap between complex technical architectures and the practical, daily needs of healthcare operations.
Recruiter Screening
reportedInitial contact with a recruiter to evaluate your background and fit for the role.
What to demonstrate
- Initial contact with a recruiter to evaluate your background and fit for the role
- Depth in Software Engineering
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 Interview
reportedDeep-dive technical interviews to assess your technical capabilities.
What to demonstrate
- Deep-dive technical interviews to assess your technical capabilities
- Depth in Software Engineering
How to prepare
- Answer aloud and timed: Can you explain your experience with web technologies, UX principles, or digital product support?
- Answer aloud and timed: How do you approach troubleshooting and resolving critical production application issues under pressure?
Managerial Interview
reportedInterviews focused on managerial aspects and alignment with organizational culture.
What to demonstrate
- Interviews focused on managerial aspects and alignment with organizational culture
- Depth in Software Engineering
How to prepare
- Answer aloud and timed: How would you design a scalable integration between a legacy healthcare database and a modern web application?
- Answer aloud and timed: Walk through your process for maintaining high availability in contact center or communication engineering solutions.
Final Panel Review
reportedConcluding interviews with a panel to finalize the evaluation of the candidate.
What to demonstrate
- Concluding interviews with a panel to finalize the evaluation of the candidate
- Depth in Software Engineering
How to prepare
- Answer aloud and timed: What strategies do you use to optimize database queries and application performance?
- Answer aloud and timed: Describe a time when you had to manage competing priorities from multiple clinical or administrative stakeholders.
PracHub editorial advice for the preparation topics above.
Align with healthcare values
Always frame your technical solutions around how they ultimately support patient care, operational efficiency, and clinician workflows.
Structure your behavioral answers
Use the STAR method (Situation, Task, Action, Result) to keep your stories concise, impact-driven, and easy for the interview panel to follow.
Prepare thoughtful questions
Ask your interviewers about the current technical debt, team culture, and how engineering priorities are balanced with urgent clinical needs.
Highlight security awareness
Given the sensitive nature of healthcare data, proactively mentioning data privacy and security considerations in your system design answers will make you stand out.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Collapse a redelivered event batch into per-aggregate high-water marks
You drain a batch of up to 5,000,000 events, each (aggregate_id BIGINT, aggregate_version INT, event_type, payload). The log guarantees order within one aggregate only; the batch merges 64 partitions, and a relay failover has redelivered a range, so an older version for an aggregate can appear after a newer one. Given a map of last_applied_version per aggregate, produce the events worth applying, at most one per (aggregate_id, version), plus the count discarded. Target O(n) time. State the memory for 2,000,000 distinct aggregates and what you do when it does not fit.
Approach
- One pass, one hash map from aggregate_id to the highest version kept, and a discard counter. An event whose version is at or below last_applied_version for its aggregate is dropped without further work, which is the whole reason the event carries its version rather than a delta. O(n) expected time, O(d) space in distinct aggregates.
- Keep the maximum, never the last occurrence. The redelivered range means the final appearance of an aggregate in the batch can be an older version than one seen earlier in the same batch, so last-wins applies stale state over newer state and the projection regresses with no error anywhere.
- Cost the memory instead of calling it large: an 8-byte key plus a 4-byte version is 12 bytes of payload, and an open-addressed table held at a 0.7 load factor costs roughly 17 bytes per entry before per-slot metadata, so 2,000,000 aggregates is tens of megabytes in a native layout and several times that in a runtime that boxes both key and value.
- If the distinct set exceeds memory, partition on hash(aggregate_id) mod P and reduce each partition independently. Every event for one aggregate hashes to the same partition, so the per-partition result is exact and the merge is concatenation rather than a second reduction.
Follow-up
- The payload is a patch rather than a snapshot, so applying only the highest version loses the intermediate changes. What changes in your reduction?
- How do you detect that version 7 arrived while version 6 was never delivered, and what should the consumer do about the gap?
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?
Denormalise tenant onto revisions and backfill it live
resource_revision (revision_id, resource_id, version, actor_user_id, change_kind, patch, request_id, created_at) has 400M rows and no tenant column; tenant_id lives only on resource. Two reads need it: a tenant-scoped audit feed ordered by created_at DESC, and an offboarding purge. Both join back to resource today. Justify adding tenant_id to resource_revision against those two reads, name the anomaly the copy introduces and the constraint that prevents it, then give the ordered migration for a live table taking 1.2k writes/second — the lock each step takes, how the backfill is batched, and where each step stops being reversible. PostgreSQL 16.
Approach
- Justify from the access path rather than from taste. Without the column, the audit feed either scans resource_revision by created_at and discards other tenants' rows, or resolves the tenant's resource_ids first and probes with them — both proportional to the tenant's whole history rather than to one page. With (tenant_id, created_at DESC, revision_id DESC) it is a seek that stops at 50 rows, and the purge becomes a ranged delete instead of a join.
- Name the cost exactly: a second copy of a fact can disagree with the first. Make the disagreement unwritable rather than documented — add UNIQUE (resource_id, tenant_id) on resource so it can serve as a foreign-key target, then FOREIGN KEY (resource_id, tenant_id) REFERENCES resource (resource_id, tenant_id) on the revision table. A revision can then only ever carry its parent's tenant.
- Step one, expand: ALTER TABLE resource_revision ADD COLUMN tenant_id BIGINT NULL, with no default, so it is a catalogue change and no rewrite. It still needs ACCESS EXCLUSIVE for an instant, and that instant queues behind the longest open transaction on the table while every later query queues behind it — set lock_timeout to 2s and retry rather than wait.
- Step two, dual-write: deploy the writer that populates tenant_id on every new revision while reads still use the join. Reversible by redeploying the previous build, because nothing reads the column yet.
Follow-up
- The backfill is half finished and a rollback is required. What state is the table in, and what does the previous build do with a half-populated column?
- How do you verify the backfill actually finished, given rows are still being inserted while it runs?
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?
What experience do you have with healthcare applications or enterprise systems like Epic?
What experience do you have with healthcare applications or enterprise systems like Epic?
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 ensure data security and patient privacy when building or maintaining software solutions?
How do you ensure data security and patient privacy when building or maintaining software solutions?
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 scalable integration between a legacy healthcare database and a modern web application?
How would you design a scalable integration between a legacy healthcare database and a modern web application?
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 your process for maintaining high availability in contact center or communication engineering sol
Walk through your process for maintaining high availability in contact center or communication engineering solutions.
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 strategies do you use to optimize database queries and application performance?
What strategies do you use to optimize database queries and application performance?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
How do you approach troubleshooting and resolving critical production application issues under pressure?
How do you approach troubleshooting and resolving critical production application issues under pressure?
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 Lee Health candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Lee Health loop
- Write out the reported sequence: Recruiter Screening, Technical Interview, Managerial Interview, Final Panel Review.
- 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 Software Engineering
- Spend the session on Software Engineering, which Lee Health candidates report being tested on.
- Write one worked example in Software Engineering and time yourself on it.
Deliverable: One timed worked example in Software Engineering.
03Work Electronic Health Records (EHR) Ecosystem
- Spend the session on Electronic Health Records (EHR) Ecosystem, which Lee Health candidates report being tested on.
- Write one worked example in Electronic Health Records (EHR) Ecosystem and time yourself on it.
Deliverable: One timed worked example in Electronic Health Records (EHR) Ecosystem.
04Work Healthcare Domain Knowledge
- Spend the session on Healthcare Domain Knowledge, which Lee Health candidates report being tested on.
- Write one worked example in Healthcare Domain Knowledge and time yourself on it.
Deliverable: One timed worked example in Healthcare Domain Knowledge.
05Answer out loud: Technical and Domain Knowledge
- Answer aloud, timed: What experience do you have with healthcare applications or enterprise systems like Epic?
- Answer aloud, timed: How do you ensure data security and patient privacy when building or maintaining software solutions?
Deliverable: Spoken answers to 2 reported Technical and Domain Knowledge question(s), under time.
06Answer out loud: System Design and Architecture
- Answer aloud, timed: How would you design a scalable integration between a legacy healthcare database and a modern web application?
- Answer aloud, timed: Walk through your process for maintaining high availability in contact center or communication engineering solutions.
Deliverable: Spoken answers to 2 reported System Design and Architecture question(s), under time.
07Answer out loud: Behavioral and Collaboration
- Answer aloud, timed: Describe a time when you had to manage competing priorities from multiple clinical or administrative stakeholders.
- Answer aloud, timed: How do you handle situations where project requirements change midway through a development cycle?
Deliverable: Spoken answers to 2 reported Behavioral and Collaboration 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 explain your experience with web technologies, UX principles, or digital product support?
Can you explain your experience with web technologies, UX principles, or digital product support?
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 time when you had to manage competing priorities from multiple clinical or administrative stakehold
Describe a time when you had to manage competing priorities from multiple clinical or administrative stakeholders.
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 situations where project requirements change midway through a development cycle?
How do you handle situations where project requirements change midway through a development cycle?
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 you identified a technical bottleneck and took the initiative to resolve it.
Tell me about a time you identified a technical bottleneck and took the initiative to resolve it.
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 explain your experience with web technologies, UX principles, or digital product support?
- 02
Describe a time when you had to manage competing priorities from multiple clinical or administrative stakeholders.
- 03
How do you handle situations where project requirements change midway through a development cycle?
- 04
Tell me about a time you identified a technical bottleneck and took the initiative to resolve it.
How long does the typical interview process take from initial application to offer?
The process can vary significantly by department, often spanning several weeks from the initial recruiter screen to final panel decisions. Patience and proactive communication with your HR contact are key during this period.
Lee Health Software Engineer candidate reports ↗What is the primary trait that separates successful candidates from unsuccessful ones?
Successful candidates demonstrate a strong balance of technical competence and operational empathy. They understand that software in a healthcare setting ultimately serves patient care, and they communicate with clarity and humility.
Lee Health Software Engineer candidate reports ↗Are remote or hybrid work options available for Software Engineer roles?
Work arrangements depend heavily on the specific team and operational requirements of the role, with many technical positions offering varying degrees of hybrid flexibility based on project needs.
Lee Health Software Engineer candidate reports ↗How should I prepare for technical questions if I do not have a healthcare background?
Focus heavily on foundational software engineering principles, system design, and problem-solving methodologies. Interviewers are primarily evaluating your core technical capabilities and your ability to learn domain-specific systems quickly.
Lee Health Software Engineer candidate reports ↗What kind of feedback can I expect if I am not selected?
Feedback can sometimes be generalized due to institutional policies. Maintaining open channels of communication with your recruitment coordinator is the best way to request specific insights on your performance.
Lee Health Software Engineer candidate reports ↗What topics does Lee Health test in interviews?
Lee Health interviews most often cover Program Management, Stakeholder Communication, Requirements Gathering, Problem Solving, and Risk Management. The exact emphasis depends on the specific role you apply for.
Lee Health 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.
- 01Lee Health 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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