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Anblicks Software Engineer Interview Guide

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

The 60-second brief

As a Software Engineer at Anblicks, you play a pivotal role in designing, building, and delivering scalable enterprise solutions and modern digital products. You work across diverse technology stacks—ranging from full-stack web development and Java microservices to advanced data visualization and analytics platforms. Your contributions directly shape how clients harness complex data streams, modernize their architectures, and drive operational efficiency. This role requires a balance of rigorous technical execution and collaborative problem-solving. Whether you are constructing RESTful APIs with Spring Boot, developing dynamic interfaces using Angular and NodeJS, or engineering data pipelines and Tableau dashboards, your work impacts core business systems and end users.

This guide is scoped to a Software Engineer candidate at Anblicks.

Focus areas

  • BI Dashboards (Tableau)
  • Spring Boot
  • Microservices Architecture

The Anblicks interview process

Anblicks candidates report 5 rounds over 4-6 weeks. The stages below are what candidates describe, not a published process.

Initial Screening

Assessment of quantitative, logical, and technical aptitude.

What to demonstrate

  • Assessment of quantitative, logical, and technical aptitude
  • Depth in BI Dashboards (Tableau)

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 Discussions

Targeted discussions focusing on technical knowledge and skills.

What to demonstrate

  • Targeted discussions focusing on technical knowledge and skills
  • Depth in BI Dashboards (Tableau)

How to prepare

  • Answer aloud and timed: What are machine learning algorithms and how do you approach model fitting in data-driven applications?
  • Answer aloud and timed: Can you explain how you design and implement microservices using Spring Boot?

Assessment Stages

Multiple assessment stages for freshers, focusing on practical competency.

What to demonstrate

  • Multiple assessment stages for freshers
  • Focusing on practical competency

How to prepare

  • Answer aloud and timed: What is an algorithmic pipeline and how do data processing workflows operate?
  • Answer aloud and timed: How do you design RESTful APIs to ensure scalability, reliability, and performance?

Focused Technical Evaluations

Direct evaluations for experienced candidates emphasizing technical execution.

What to demonstrate

  • Direct evaluations for experienced candidates emphasizing technical execution
  • Depth in BI Dashboards (Tableau)

How to prepare

  • Answer aloud and timed: What strategies do you use for horizontal scaling, load balancing, and fault tolerance in microservices?
  • Answer aloud and timed: How would you approach designing a data mart or data warehouse solution for an enterprise client?

Managerial and HR Evaluations

Final evaluations to assess cultural alignment and fit within the team.

What to demonstrate

  • Final evaluations to assess cultural alignment and fit within the team
  • Depth in BI Dashboards (Tableau)

How to prepare

  • Answer aloud and timed: What security and compliance practices do you implement when securing data transmission and authentication mechanisms?
  • Answer aloud and timed: Can you write clean code to solve quantitative and mathematical puzzle problems during the coding rounds?

Where candidates lose points

Review your resume projects thoroughly

Interviewers will dive deep into your academic or professional projects. Be ready to explain your specific contributions, architectural choices, and the rationale behind your tech stack selection.

Brush up on fundamentals

Do not neglect basic aptitude, quantitative reasoning, and core programming concepts, as these form the basis of the initial filtering rounds.

Structure your coding answers

When faced with coding tasks or puzzles, state your assumptions, discuss brute-force approaches briefly, and then articulate an optimized plan before writing code.

Emphasize adaptability

Highlight your willingness to learn new frameworks, manage multiple priorities, and work flexibly within client-driven consulting environments.

Questions & practice

What are machine learning algorithms and how do you approach model fitting in data-driven applications?

Medium · Technical and Core Concepts

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?

What is an algorithmic pipeline and how do data processing workflows operate?

Medium · Technical and Core Concepts

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 write clean code to solve quantitative and mathematical puzzle problems during the coding rounds?

Medium · Coding and Problem-Solving

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 walk through a practical coding task involving data structures, algorithms, or frontend logic?

Medium · Coding and Problem-Solving

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 do you optimize and fine-tune SQL queries for maximum performance and efficiency?

Medium · Technical and Core Concepts

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?

Denormalise tenant onto revisions and backfill it live

Hard · denormalisation · online migration · backfill

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

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

Can you explain basic and advanced concepts in Java and object-oriented programming?

Medium · Technical and Core Concepts

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 how you design and implement microservices using Spring Boot?

Medium · Technical and Core Concepts

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 do you design RESTful APIs to ensure scalability, reliability, and performance?

Medium · System Design and 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 strategies do you use for horizontal scaling, load balancing, and fault tolerance in microservices?

Medium · System Design and 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?

How would you approach designing a data mart or data warehouse solution for an enterprise client?

Medium · System Design and 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 security and compliance practices do you implement when securing data transmission and authentication mec

Medium · System Design and Architecture

What security and compliance practices do you implement when securing data transmission and authentication mechanisms?

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?

Can you walk through the architecture and implementation details of a project you completed during your academ

Medium · Behavioral and Cultural Fit

Can you walk through the architecture and implementation details of a project you completed during your academic or professional career?

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 do you conduct unit testing and troubleshoot defects using frameworks like JUnit or Mockito?

Medium · Coding and Problem-Solving

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?

How do you perform root cause analysis when debugging complex application errors?

Medium · Coding and Problem-Solving

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 Anblicks candidates report.

Day 1 — Map the Anblicks loop

  • Write out the reported sequence: Initial Screening, Technical Discussions, Assessment Stages, Focused Technical Evaluations, Managerial and HR Evaluations.
  • 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 BI Dashboards (Tableau)

  • Spend the session on BI Dashboards (Tableau), which Anblicks candidates report being tested on.
  • Write one worked example in BI Dashboards (Tableau) and time yourself on it.

Deliverable: One timed worked example in BI Dashboards (Tableau).

Day 3 — Work Spring Boot

  • Spend the session on Spring Boot, which Anblicks candidates report being tested on.
  • Write one worked example in Spring Boot and time yourself on it.

Deliverable: One timed worked example in Spring Boot.

Day 4 — Work Microservices Architecture

  • Spend the session on Microservices Architecture, which Anblicks candidates report being tested on.
  • Write one worked example in Microservices Architecture and time yourself on it.

Deliverable: One timed worked example in Microservices Architecture.

Day 5 — Answer out loud: Technical and Core Concepts

  • Answer aloud, timed: Can you explain basic and advanced concepts in Java and object-oriented programming?
  • Answer aloud, timed: How do you optimize and fine-tune SQL queries for maximum performance and efficiency?

Deliverable: Spoken answers to 2 reported Technical and Core Concepts question(s), under time.

Day 6 — Answer out loud: System Design and Architecture

  • Answer aloud, timed: How do you design RESTful APIs to ensure scalability, reliability, and performance?
  • Answer aloud, timed: What strategies do you use for horizontal scaling, load balancing, and fault tolerance in microservices?

Deliverable: Spoken answers to 2 reported System Design and Architecture question(s), under time.

Day 7 — Answer out loud: Coding and Problem-Solving

  • Answer aloud, timed: Can you write clean code to solve quantitative and mathematical puzzle problems during the coding rounds?
  • Answer aloud, timed: How do you conduct unit testing and troubleshoot defects using frameworks like JUnit or Mockito?

Deliverable: Spoken answers to 2 reported Coding and Problem-Solving question(s), under time.

Behavioural preparation

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

How do you handle unexpected changes in project requirements or tight deadlines while under pressure?

Medium · Behavioral and Cultural Fit

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 collaborated with a cross-functional team to resolve a technical bottleneck.

Medium · Behavioral and Cultural Fit

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 joining Anblicks, and how do you handle working in client-staffing or consulting mod

Medium · Behavioral and Cultural Fit

Why are you interested in joining Anblicks, and how do you handle working in client-staffing or consulting modes?

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?