Interview guides · Truveris
Truveris Software Engineer Interview Guide
Truveris Software Engineer interview guide: reported rounds, questions and how candidates describe the process.
The 60-second brief
As a Software Engineer at Truveris, you play a pivotal role in shaping the technology that empowers clients in managing and optimizing their pharmacy benefits. Your contributions are crucial to building scalable, reliable software solutions that enhance user experiences for both providers and consumers. This position is not only about writing code; it's about collaborating with cross-functional teams to solve complex problems, innovate upon existing systems, and influence product development strategies. The Software Engineer role at Truveris offers the opportunity to work with a diverse tech stack, including Python and various frameworks, on projects that directly impact the healthcare landscape. You'll engage in the development of critical products that assist clients in navigating intricate healthcare systems, making your work both meaningful and impactful.
This guide is scoped to a Software Engineer candidate at Truveris.
Focus areas
- Python
- SQLAlchemy
- SQL
The Truveris interview process
Truveris candidates report 2 rounds over 2-4 weeks. The stages below are what candidates describe, not a published process.
Phone Screen
Initial screening led by a technical architect or senior engineer to assess candidate's fit.
What to demonstrate
- Initial screening led by a technical architect or senior engineer to assess candidate's fit
- Depth in Python
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
In-person interviews that include technical assessments and evaluations of cultural fit.
What to demonstrate
- In-person interviews that include technical assessments and evaluations of cultural fit
- Depth in Python
How to prepare
- Answer aloud and timed: What are the advantages of using SQLAlchemy over raw SQL queries?
- Answer aloud and timed: Describe how you would optimize a database query.
Where candidates lose points
Communicate Clearly
Articulate your thoughts during interviews, especially while solving problems. Clarity can be as important as the solution.
Show Enthusiasm
Demonstrating passion for technology and the healthcare sector can resonate well with interviewers.
Be Prepared for Follow-Up Questions
Your answers may lead to deeper inquiries, so be ready to elaborate on your thought processes and decisions.
Always express curiosity and willingness to learn
This aligns well with the company's culture.
Questions & practice
Write a function to parse a CSV file and extract specific data.
Medium · Coding / Algorithms
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 sorting algorithm in your preferred programming language.
Medium · Coding / Algorithms
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?
Identify the heaviest tenants in a five-minute window under memory pressure
Medium · top-k · heavy hitters · streaming
The edge service handles about 3,000 requests per second across roughly 50,000 tenants, peaking near 9,000. Expose the 50 heaviest tenants by request count over the trailing five minutes so limits can be tightened before one tenant's backfill starves the fleet. You may not retain five minutes of raw records. Give the exact solution and its memory, then the bounded-memory approximation with its error stated as a formula, and say which you would ship and at what tenant cardinality that choice changes.
Approach
- Do the exact version first, because it is affordable at this cardinality: a ring of 300 one-second counters per tenant, advanced lazily, is 1,200 bytes of counters per tenant and roughly 60 to 90 MB for 50,000 tenants with overhead. Carry a running total and subtract the bucket you overwrite so a window read is O(1) rather than 300 adds.
- Extract the top 50 with a size-k min-heap over the tenant sums: O(d log k) for d tenants, against O(d log d) to sort them all. Maintaining the heap continuously instead of on query requires a tenant-to-heap-index map, because incrementing a count already inside the heap means sifting from a known position, and without that map you rebuild the heap on every request.
- State the approximation precisely rather than gesturing at sketches. Misra-Gries with m counters retains every item whose true count exceeds N/(m+1), and each retained count underestimates the truth by at most N/(m+1). With m = 1,000 and N = 900,000 requests in the window the error is roughly 900 requests, which is fine for spotting a tenant sending 50,000 and useless for ranking two tenants 200 apart.
- Say what breaks when the window slides: Misra-Gries and Space-Saving are insert-only and cannot be decremented as records age out. The workable construction is one summary per sub-window, say ten seconds, with 30 summaries merged at query time, and the merged error is the sum of the per-summary errors, so the bound degrades linearly in the number of sub-windows.
Follow-up
- The heaviest tenant is heavy because of one export job rather than user traffic. Should the limiter treat those as the same tenant?
- Two tenants sit tied at the boundary of the top 50. Does your answer flap, and does the flapping matter?
What are the advantages of using SQLAlchemy over raw SQL queries?
Medium · Technical / Domain Questions
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Describe how you would optimize a database query.
Medium · Technical / Domain Questions
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Given a dataset, create a SQL query to retrieve the top 10 entries based on a certain criterion.
Medium · Coding / Algorithms
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Can you explain the differences between Python 2 and Python 3?
Medium · Technical / Domain Questions
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 implement a RESTful API in Flask?
Medium · Technical / Domain Questions
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?
Explain the concept of object-oriented programming and its principles.
Medium · Technical / Domain Questions
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 a challenging technical problem you've faced and how you resolved it.
Medium · Problem-Solving / Case Studies
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?
If given a new feature request, how would you gather requirements and prioritize tasks?
Medium · Problem-Solving / Case Studies
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 approach debugging a performance issue in a web application?
Medium · Problem-Solving / Case Studies
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?
Suggested practice checklist
Built from the rounds and topics Truveris candidates report.
Day 1 — Map the Truveris loop
- Write out the reported sequence: Phone Screen, Onsite Interview.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 2 reported rounds, with the weakest marked.
Day 2 — Work Python
- Spend the session on Python, which Truveris candidates report being tested on.
- Write one worked example in Python and time yourself on it.
Deliverable: One timed worked example in Python.
Day 3 — Work SQLAlchemy
- Spend the session on SQLAlchemy, which Truveris candidates report being tested on.
- Write one worked example in SQLAlchemy and time yourself on it.
Deliverable: One timed worked example in SQLAlchemy.
Day 4 — Work SQL
- Spend the session on SQL, which Truveris candidates report being tested on.
- Write one worked example in SQL and time yourself on it.
Deliverable: One timed worked example in SQL.
Day 5 — Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Can you explain the differences between Python 2 and Python 3?
- Answer aloud, timed: How would you implement a RESTful API in Flask?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
Day 6 — Answer out loud: Problem-Solving / Case Studies
- Answer aloud, timed: How would you approach debugging a performance issue in a web application?
- Answer aloud, timed: Describe a challenging technical problem you've faced and how you resolved it.
Deliverable: Spoken answers to 2 reported Problem-Solving / Case Studies question(s), under time.
Day 7 — Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a time you had to work with a difficult team member. How did you handle the situation?
- Answer aloud, timed: What motivates you to deliver your best work?
Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.
Behavioural preparation
Behavioural rounds judge the decision you made and what it cost.
Describe a time you had to work with a difficult team member. How did you handle the situation?
Medium · Behavioral / Leadership
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 motivates you to deliver your best work?
Medium · Behavioral / Leadership
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?
Can you share an example of a successful project you led?
Medium · Behavioral / Leadership
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?