Interview guides · Cassini Technologies
Cassini Technologies Software Engineer Interview Guide
Cassini Technologies Software Engineer interview guide: reported rounds, questions and how candidates describe the process.
The 60-second brief
As a Software Engineer at Cassini Technologies, you play a pivotal role in transforming the landscape of cataract surgery through innovative software solutions. Your work directly impacts surgeons' capabilities to perform intricate procedures with precision, thereby enhancing patient outcomes. By developing and refining advanced algorithms and software systems, you contribute to the creation of products that blend medical science with cutting-edge technology. This position is not just about coding; it involves taking ownership of entire features throughout the research and development lifecycle. You will be responsible for designing, implementing, and maintaining robust software that meets the stringent standards of the medical industry. The complexity of the systems you will work on, coupled with the autonomy you will enjoy, makes this role both challenging and rewarding.
This guide is scoped to a Software Engineer candidate at Cassini Technologies.
Focus areas
- Python
- Type Annotations
- TypeScript
The Cassini Technologies interview process
Cassini Technologies candidates report 5 rounds over 4-6 weeks. The stages below are what candidates describe, not a published process.
Initial Screening
The first step involves an initial screening to assess your qualifications and fit for the role.
What to demonstrate
- The first step involves an initial screening to assess your qualifications and fit for the role
- 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.
Technical Assessments
Candidates will undergo technical assessments to evaluate their coding and problem-solving skills.
What to demonstrate
- Candidates will undergo technical assessments to evaluate their coding and problem-solving skills
- Depth in Python
How to prepare
- Answer aloud and timed: Describe your experience with SQLAlchemy and how it integrates with FastAPI.
- Answer aloud and timed: What strategies do you use for optimizing database performance?
Behavioral Interviews
Behavioral interviews focus on your past experiences and how you align with the company's culture.
What to demonstrate
- Behavioral interviews focus on your past experiences and how you align with the company's culture
- Depth in Python
How to prepare
- Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
- Re-read the description of the behavioral interviews above and write down what you would ask to confirm before it.
System Design Discussions
You will participate in discussions centered around system design to demonstrate your architectural skills.
What to demonstrate
- You will participate in discussions centered around system design to demonstrate your architectural skills
- Depth in Python
How to prepare
- Answer aloud and timed: How would you architect a service that handles high volumes of data input from surgical instruments?
- Answer aloud and timed: Discuss the considerations for building a secure API in a medical environment.
Final Discussions
The final discussions involve conversations with team members to assess collaboration and communication skills.
What to demonstrate
- The final discussions involve conversations with team members to assess collaboration and communication skills
- Depth in Python
How to prepare
- Answer aloud and timed: What factors do you consider when deciding between microservices and a monolithic architecture?
- Answer aloud and timed: Explain how you would implement error handling in a distributed system.
Where candidates lose points
Practice coding under time constraints
Given the emphasis on coding skills, practicing timed coding challenges can help you become more comfortable under pressure.
Familiarize yourself with medical standards
Understanding the basics of medical regulations can provide context for your technical work and demonstrate your commitment to the domain.
Prepare for behavioral questions
Reflect on past experiences that showcase your problem-solving abilities and teamwork skills, as these are central to the company's values.
Engage with the company's mission
Be prepared to discuss why you are passionate about improving patient outcomes and how your work contributes to this goal.
Questions & practice
Write a function in Python to flatten a nested list.
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?
Given a string, implement an algorithm to check if it is a palindrome.
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?
Can you explain the time complexity of your solution to a specific problem?
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?
How would you implement a caching mechanism for a frequently accessed resource?
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?
Keep soft-deleted accounts from blocking re-registration
Easy · soft delete · unique constraints · engine differences
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
Explain why the owner filter ignores the listing index
Medium · composite index · query plans · sort elimination
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?
Explain the differences between FastAPI and Flask.
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 do you ensure the correctness of your code in a heavily type-annotated codebase?
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?
What strategies do you use for optimizing database performance?
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?
Can you explain the role of Docker in modern software development workflows?
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?
Design a system for a web application that allows surgeons to access patient data in real-time.
Medium · System Design / Architecture
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 architect a service that handles high volumes of data input from surgical instruments?
Medium · System Design / Architecture
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?
Discuss the considerations for building a secure API in a medical environment.
Medium · System Design / Architecture
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?
What factors do you consider when deciding between microservices and a monolithic architecture?
Medium · System Design / Architecture
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?
Explain how you would implement error handling in a distributed system.
Medium · System Design / Architecture
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 us through a challenging bug you encountered in a past project 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?
Describe a situation where you had to balance technical debt against new feature development.
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?
What steps would you take to improve the performance of an existing application?
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 do you prioritize tasks when working on multiple features simultaneously?
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 do you ensure effective communication in a distributed team?
Medium · Behavioral / Leadership
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?
Write a function that fetches data from an API and processes the response.
Medium · Coding / Algorithms
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?
How would you approach debugging a system that intermittently fails under load?
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 Cassini Technologies candidates report.
Day 1 — Map the Cassini Technologies loop
- Write out the reported sequence: Initial Screening, Technical Assessments, Behavioral Interviews, System Design Discussions, Final Discussions.
- 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 5 reported rounds, with the weakest marked.
Day 2 — Work Python
- Spend the session on Python, which Cassini Technologies 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 Type Annotations
- Spend the session on Type Annotations, which Cassini Technologies candidates report being tested on.
- Write one worked example in Type Annotations and time yourself on it.
Deliverable: One timed worked example in Type Annotations.
Day 4 — Work TypeScript
- Spend the session on TypeScript, which Cassini Technologies candidates report being tested on.
- Write one worked example in TypeScript and time yourself on it.
Deliverable: One timed worked example in TypeScript.
Day 5 — Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Explain the differences between FastAPI and Flask.
- Answer aloud, timed: How do you ensure the correctness of your code in a heavily type-annotated codebase?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
Day 6 — Answer out loud: System Design / Architecture
- Answer aloud, timed: Design a system for a web application that allows surgeons to access patient data in real-time.
- Answer aloud, timed: How would you architect a service that handles high volumes of data input from surgical instruments?
Deliverable: Spoken answers to 2 reported System Design / Architecture question(s), under time.
Day 7 — Answer out loud: Problem-Solving / Case Studies
- Answer aloud, timed: Walk us through a challenging bug you encountered in a past project and how you resolved it.
- Answer aloud, timed: How would you approach debugging a system that intermittently fails under load?
Deliverable: Spoken answers to 2 reported Problem-Solving / Case Studies question(s), under time.
Behavioural preparation
Behavioural rounds judge the decision you made and what it cost.
Describe your experience with SQLAlchemy and how it integrates with FastAPI.
Medium · Technical / Domain Questions
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 work with a difficult team member. How did you handle it?
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 give an example of a time you took initiative in a project?
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 do you do to stay motivated when working remotely?
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?
How do you handle feedback and criticism of your 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?