cswork / libraryOpen practice workspace

Interview guides · EPAM Systems

EPAM Systems Software Engineer Interview Guide

EPAM Systems Software Engineer interview guide: reported rounds, questions and how candidates describe the process.

The 60-second brief

The Software Engineer role at EPAM Systems is pivotal to the development and delivery of high-quality software solutions that drive business success. Software Engineers are at the forefront of innovation, contributing to a diverse range of projects across industries from finance to healthcare. This position is not only about writing code; it's about creating robust, scalable, and maintainable software that meets the needs of users and stakeholders alike. As a Software Engineer, you will work on complex problems, engage in collaborative development practices, and utilize modern technologies to develop solutions that have a tangible impact. From enhancing user experiences to optimizing backend processes, your contributions will directly influence the quality of the software products delivered to clients.

This guide is scoped to a Software Engineer candidate at EPAM Systems.

Focus areas

  • Python
  • Object-Oriented Programming (OOP)
  • REST APIs

The EPAM Systems interview process

EPAM Systems candidates report 4 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.

Online Assessment

Candidates complete an online assessment to evaluate their technical skills.

What to demonstrate

  • Candidates complete an online assessment to evaluate their technical skills
  • Depth in Python

How to prepare

  • Answer aloud and timed: What are the main principles of Object-Oriented Programming?
  • Answer aloud and timed: Can you explain the difference between an interface and an abstract class in Java?

Technical Interviews

Candidates participate in technical interviews to assess their problem-solving abilities.

What to demonstrate

  • Candidates participate in technical interviews to assess their problem-solving abilities
  • Depth in Python

How to prepare

  • Answer aloud and timed: Describe a situation where you optimized a piece of code. What was the challenge and how did you approach it?
  • Answer aloud and timed: What are RESTful APIs, and how do they differ from SOAP?

Group Discussions

Candidates engage in group discussions to evaluate collaboration and communication skills.

What to demonstrate

  • Candidates engage in group discussions to evaluate collaboration and communication skills
  • Depth in Python

How to prepare

  • Answer aloud and timed: Explain the concept of multithreading and its advantages.
  • Answer aloud and timed: Given an array of integers, find two numbers such that they add up to a specific target.

HR Interviews

Candidates meet with HR to discuss cultural fit and overall alignment with company values.

What to demonstrate

  • Candidates meet with HR to discuss cultural fit and overall alignment with company values
  • Depth in Python

How to prepare

  • Answer aloud and timed: How would you design a URL shortening service?
  • Answer aloud and timed: Describe how you would approach debugging a complex issue in a production environment.

Where candidates lose points

Practice Coding

Regularly engage in coding exercises to enhance your problem-solving speed and accuracy.

Understand the Company

Familiarize yourself with EPAM Systems’ products, services, and values to better align your responses during interviews.

Be Yourself

Authenticity matters. Showcase your unique experiences and how they relate to the role.

Prepare Questions

Have insightful questions ready for your interviewers to demonstrate your interest in the company and role.

Questions & practice

Explain the concept of multithreading and its advantages.

Medium · Technical / Domain Questions

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

Given an array of integers, find two numbers such that they add up to a specific target.

Medium · Problem-Solving / Case Studies

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. 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?

Write a function to reverse a linked list.

Medium · Coding / Algorithms

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. 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 implement a binary search algorithm?

Medium · Coding / Algorithms

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. 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 detect a cycle in a linked list?

Medium · Coding / Algorithms

Approach

  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Name the brute-force solution and its complexity before improving on it.
  3. Choose the data structure from the access pattern, not from familiarity.
  4. State the target complexity and say which constraint rules the naive version out.

Follow-up

  • How does this change if the input no longer fits in memory?
  • What is the worst case, and how likely is it on real data?

Hold a per-tenant active cap against concurrent creates

Hard · write skew · isolation levels · constraints

A tenant on the standard plan may hold at most 50 resources with status='active'. The create handler runs SELECT count(*) FROM resource WHERE tenant_id = $1 AND status = 'active', compares to 50, then inserts. Two creates arrive 3 ms apart on different instances and the tenant lands at 51. Name the anomaly, say whether PostgreSQL 16 READ COMMITTED or REPEATABLE READ prevents it and why, then give an implementation that holds the cap at READ COMMITTED with the exact statements. Finally, say what changes when the cap is 'at most one running export per tenant' on job_run.

Approach

  1. Name it: write skew. The two transactions read an overlapping set and write disjoint rows, so there is no row-level conflict for the engine to detect and each commit is individually legal.
  2. Rule out the levels precisely. READ COMMITTED takes a fresh snapshot per statement and takes no lock on the counted rows, so both see 49. PostgreSQL's REPEATABLE READ is snapshot isolation: it removes non-repeatable reads and phantoms within the snapshot but still admits write skew, because the anomaly is not a re-read of a changed row, it is a read of a set that a concurrent transaction invalidates. Only SERIALIZABLE closes it, by tracking the read dependency and aborting one transaction with SQLSTATE 40001 — a guarantee that exists only if the application re-runs the whole transaction from the read.
  3. Convert the set predicate into a single-row conflict: keep tenant.active_resource_count and run UPDATE tenant SET active_resource_count = active_resource_count + 1 WHERE tenant_id = $1 AND active_resource_count < 50 in the same transaction as the INSERT. Zero affected rows is the cap, returned as 409. The row lock serialises the decision at any isolation level, and contention is bounded to one tenant's row — which is also the fair-scheduling unit, unlike a global counter that would convoy every tenant behind one row.
  4. State the cost you just took on: a counter is a second source of truth that can drift, so every path that changes status must adjust it inside the same transaction, and a periodic reconciliation has to exist, with resource_revision as the authority for what the count should have been.

Follow-up

  • A resource moves from archived back to active. Which statements change, and what breaks if the counter update and the status change land in different transactions?
  • The cap becomes plan-dependent and a plan can change mid-month. Where does the number 50 live, and who reads it?

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

  1. 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.
  2. 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.
  3. 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.
  4. 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?

What are the main principles of Object-Oriented Programming?

Medium · Technical / Domain Questions

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. 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 difference between an interface and an abstract class in Java?

Medium · Technical / Domain Questions

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. 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 optimized a piece of code. What was the challenge and how did you approach it?

Medium · Technical / Domain Questions

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. 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 are RESTful APIs, and how do they differ from SOAP?

Medium · Technical / Domain Questions

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. 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 URL shortening service?

Medium · Problem-Solving / Case Studies

Approach

  1. Fix the scope first: who calls this, how often, and what they do when it fails.
  2. Name the read and write paths separately; they rarely have the same bottleneck.
  3. Choose a partition key and say what query it makes expensive.
  4. State the consistency you need, and where you are willing to be stale.

Follow-up

  • What breaks first when traffic grows ten times?
  • How does this behave when that dependency is down for an hour?

Describe how you would approach debugging a complex issue in a production environment.

Medium · Problem-Solving / Case Studies

Approach

  1. Establish what changed and when, before forming any theory.
  2. Pick a bisection that eliminates candidates whichever way it turns out.
  3. Check the instrumentation before believing the symptom.
  4. 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 EPAM Systems candidates report.

Day 1 — Map the EPAM Systems loop

  • Write out the reported sequence: Online Assessment, Technical Interviews, Group Discussions, HR Interviews.
  • 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.

Day 2 — Work Python

  • Spend the session on Python, which EPAM Systems 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 Object-Oriented Programming (OOP)

  • Spend the session on Object-Oriented Programming (OOP), which EPAM Systems candidates report being tested on.
  • Write one worked example in Object-Oriented Programming (OOP) and time yourself on it.

Deliverable: One timed worked example in Object-Oriented Programming (OOP).

Day 4 — Work REST APIs

  • Spend the session on REST APIs, which EPAM Systems candidates report being tested on.
  • Write one worked example in REST APIs and time yourself on it.

Deliverable: One timed worked example in REST APIs.

Day 5 — Answer out loud: Technical / Domain Questions

  • Answer aloud, timed: What are the main principles of Object-Oriented Programming?
  • Answer aloud, timed: Can you explain the difference between an interface and an abstract class in Java?

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: Given an array of integers, find two numbers such that they add up to a specific target.
  • Answer aloud, timed: How would you design a URL shortening service?

Deliverable: Spoken answers to 2 reported Problem-Solving / Case Studies question(s), under time.

Day 7 — Answer out loud: Behavioral / Leadership Questions

  • Answer aloud, timed: Tell me about a time when you faced a conflict in a team. How did you handle it?
  • Answer aloud, timed: What motivates you to excel in your work?

Deliverable: Spoken answers to 2 reported Behavioral / Leadership Questions question(s), under time.

Behavioural preparation

Behavioural rounds judge the decision you made and what it cost.

Tell me about a time when you faced a conflict in a team. How did you handle it?

Medium · Behavioral / Leadership Questions

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. 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 excel in your work?

Medium · Behavioral / Leadership Questions

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. 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 project where you took the lead. What was the outcome?

Medium · Behavioral / Leadership Questions

Approach

  1. Pick a story where you made the decision, not one where you watched it.
  2. State the situation in two sentences and spend the rest on the reasoning.
  3. Give the blast radius: what could have broken, and what you measured.
  4. 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?