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Information Tech Consultants Software Engineer Interview Guide

Information Tech Consultants Software Engineer interview guide: reported rounds, questions and how candidates describe the process.

The 60-second brief

As a Software Engineer at Information Tech Consultants, you will play a pivotal role in bridging the gap between cutting-edge technology and real-world client solutions. The company operates on a specialized training-and-deployment model, recruiting promising developers and equipping them with the practical skills required to excel on high-impact client projects. Your work will directly influence how major external clients deploy, scale, and maintain their software infrastructure, making this role both highly dynamic and strategically vital. In this position, you will contribute to diverse codebases, ranging from modern mobile applications to robust backend systems. Depending on your team alignment, you may find yourself building responsive user interfaces for Android applications using Kotlin and Jetpack Compose, or developing scalable data pipelines and APIs using Python.

This guide is scoped to a Software Engineer candidate at Information Tech Consultants.

Focus areas

  • Kotlin
  • Android Application Development
  • RESTful APIs

The Information Tech Consultants interview process

Information Tech Consultants candidates report 3 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.

Technical Assessment

Initial assessment to gauge baseline coding and problem-solving abilities.

What to demonstrate

  • Initial assessment to gauge baseline coding and problem-solving abilities
  • Depth in Kotlin

How to prepare

  • Answer aloud and timed: Explain the difference between MVVM and MVI architectural patterns, and when you would choose one over the other.
  • Answer aloud and timed: How do you manage asynchronous data streams in Android using Coroutines and Flow?

Casual Conversation

Discussion with a recruiter or hiring manager about background, career goals, and training program.

What to demonstrate

  • Discussion with a recruiter or hiring manager about background, career goals, and training program
  • Depth in Kotlin

How to prepare

  • Answer aloud and timed: Describe your experience with Jetpack Compose. How does declarative UI design differ from traditional XML layouts?
  • Answer aloud and timed: How does dependency injection with Hilt or Dagger improve the testability of an Android application?

Recorded Video Interview

Structured video interview where candidates answer questions to assess communication and presentation skills.

What to demonstrate

  • Structured video interview where candidates answer questions to assess communication and presentation skills
  • Depth in Kotlin

How to prepare

  • Answer aloud and timed: What is your approach to handling network requests and parsing JSON payloads using Retrofit?
  • Answer aloud and timed: How do you manage memory and optimize performance when processing large datasets in Python?

Where candidates lose points

Prepare for Speed

Because the interview stages can happen sequentially on the same day, ensure you are fully rested, focused, and have your technical setup tested and ready before the first call.

Clarify the Training Curriculum

During the casual conversation stage, ask specific questions about the training modules, the technologies covered, and how they align with current client demands. This shows proactive engagement and career focus.

Understand Your CV Representation

Be prepared to discuss how your skills and experiences will be presented to clients. The company focuses heavily on positioning you as a highly capable asset to external teams, so be ready to articulate your technical strengths clearly.

Questions & practice

How do you manage asynchronous data streams in Android using Coroutines and Flow?

Medium · Android & Mobile Architecture

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?

How do you manage memory and optimize performance when processing large datasets in Python?

Medium · Backend & Systems Engineering

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?

Archive a resource graph without breaking live references or recursing

Medium · graph traversal · topological order · tenant isolation

Resources reference other resources within a tenant; for the largest tenant the reference table holds up to 2,000,000 nodes and 8,000,000 edges. Archiving a resource must archive everything reachable from it that nothing outside the set still references, refuse when a live external referrer exists, and terminate when references form cycles, which they legitimately do. Produce the archive order and the refusal list, targeting O(V+E). Say what stops the traversal crossing a tenant boundary, and why recursion is the wrong control structure at this size.

Approach

  1. Load the subgraph with the tenant predicate on both endpoints of the edge, not only on the side you started from. Scoping the left table alone is the classic cross-tenant leak: one mis-entered edge then pulls another tenant's resources into the traversal and, worse, into the archive.
  2. Traverse iteratively with an explicit stack. A 2,000,000-node graph can hold a chain deep enough to exhaust a native stack in the low tens of thousands of frames, and that failure is a process crash rather than an error you can return.
  3. Treat cycles as data rather than corruption: compute strongly connected components with Tarjan in O(V+E) using its own explicit stack, then condense. The condensation is a DAG, so a topological order over it gives the archive order, and every member of a component archives in one transaction because no order within a cycle is valid.
  4. Decide refusals with reverse edges. A candidate is archivable only if every in-edge originates inside the candidate set, so build the transpose or count in-degrees restricted to the visited set, and emit each blocked resource with the id of the external referrer, which is the only part of the answer an operator can act on.

Follow-up

  • The graph is read in one query and the archive writes a minute later. What can change in between, and how do you make the write safe?
  • The candidate set is 400,000 resources. Is that one transaction, and if not, what does a half-finished archive look like to a reader?

What are the key differences between SQL and NoSQL databases, and how do you decide which to use for a client

Medium · Backend & Systems Engineering

What are the key differences between SQL and NoSQL databases, and how do you decide which to use for a client project?

Approach

  1. Name the grain you start from and join outward from it.
  2. Check whether any join is one-to-many before aggregating, or the sums inflate.
  3. Say which index the query would use, and what makes it unusable.
  4. 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?

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

  1. 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.
  2. 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.
  3. 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.
  4. 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 difference between MVVM and MVI architectural patterns, and when you would choose one over the oth

Medium · Android & Mobile Architecture

Explain the difference between MVVM and MVI architectural patterns, and when you would choose one over the other.

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?

How does dependency injection with Hilt or Dagger improve the testability of an Android application?

Medium · Android & Mobile Architecture

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?

What is your approach to handling network requests and parsing JSON payloads using Retrofit?

Medium · Android & Mobile Architecture

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?

Explain how you would design and secure a RESTful API for integration with a mobile frontend.

Medium · Backend & Systems Engineering

Approach

  1. Say who the caller is and what they do when the call fails halfway.
  2. Define the identity of a request so a retry cannot double-apply it.
  3. Separate accepted, pending, failed and confirmed; they are different facts.
  4. 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?

Describe a scenario where you had to debug a performance bottleneck in a legacy codebase. What tools and metho

Medium · Backend & Systems Engineering

Describe a scenario where you had to debug a performance bottleneck in a legacy codebase. What tools and methodologies did you use?

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 Information Tech Consultants candidates report.

Day 1 — Map the Information Tech Consultants loop

  • Write out the reported sequence: Technical Assessment, Casual Conversation, Recorded Video 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 3 reported rounds, with the weakest marked.

Day 2 — Work Kotlin

  • Spend the session on Kotlin, which Information Tech Consultants candidates report being tested on.
  • Write one worked example in Kotlin and time yourself on it.

Deliverable: One timed worked example in Kotlin.

Day 3 — Work Android Application Development

  • Spend the session on Android Application Development, which Information Tech Consultants candidates report being tested on.
  • Write one worked example in Android Application Development and time yourself on it.

Deliverable: One timed worked example in Android Application Development.

Day 4 — Work RESTful APIs

  • Spend the session on RESTful APIs, which Information Tech Consultants candidates report being tested on.
  • Write one worked example in RESTful APIs and time yourself on it.

Deliverable: One timed worked example in RESTful APIs.

Day 5 — Answer out loud: Android & Mobile Architecture

  • Answer aloud, timed: Explain the difference between MVVM and MVI architectural patterns, and when you would choose one over the other.
  • Answer aloud, timed: How do you manage asynchronous data streams in Android using Coroutines and Flow?

Deliverable: Spoken answers to 2 reported Android & Mobile Architecture question(s), under time.

Day 6 — Answer out loud: Backend & Systems Engineering

  • Answer aloud, timed: How do you manage memory and optimize performance when processing large datasets in Python?
  • Answer aloud, timed: Explain how you would design and secure a RESTful API for integration with a mobile frontend.

Deliverable: Spoken answers to 2 reported Backend & Systems Engineering question(s), under time.

Day 7 — Answer out loud: Behavioral & Commitment

  • Answer aloud, timed: Why are you interested in a consulting career that involves direct deployment to external client sites?
  • Answer aloud, timed: How do you handle situations where a client requests a technical solution or technology stack that you are not familiar with?

Deliverable: Spoken answers to 2 reported Behavioral & Commitment question(s), under time.

Behavioural preparation

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

Describe your experience with Jetpack Compose. How does declarative UI design differ from traditional XML layo

Medium · Android & Mobile Architecture

Describe your experience with Jetpack Compose. How does declarative UI design differ from traditional XML layouts?

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?

Why are you interested in a consulting career that involves direct deployment to external client sites?

Medium · Behavioral & Commitment

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?

How do you handle situations where a client requests a technical solution or technology stack that you are not

Medium · Behavioral & Commitment

How do you handle situations where a client requests a technical solution or technology stack that you are not familiar with?

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 time when you had to work under a tight deadline. How did you prioritize your tasks to ensure deliv

Medium · Behavioral & Commitment

Describe a time when you had to work under a tight deadline. How did you prioritize your tasks to ensure delivery?

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?

How do you approach feedback during code reviews, especially when adapting to a client's specific style guide?

Medium · Behavioral & Commitment

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?