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New York Life Software Engineer Interview Guide

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

The 60-second brief

As a Software Engineer at New York Life, you play a foundational role in building, scaling, and modernizing the digital infrastructure that supports millions of policyholders and financial professionals. You will contribute to mission-critical systems spanning full-stack development, cloud platforms, identity and access management, and enterprise business applications. Your daily work directly impacts how secure, reliable, and efficient the company's financial and insurance products are for everyday users. The engineering organization at New York Life operates at significant scale and complexity, blending legacy modernization with cutting-edge cloud deployment.

This guide is scoped to a Software Engineer candidate at New York Life.

Focus areas

  • JavaScript
  • Frontend Development
  • Identity & Access Management (IAM)

The New York Life interview process

New York Life 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 covering basic coding problems and foundational programming concepts.

What to demonstrate

  • Candidates complete an online assessment covering basic coding problems and foundational programming concepts
  • Depth in JavaScript

How to prepare

  • Answer aloud and timed: Walk me through your experience with Java, Spring, and Spring Boot architecture.
  • Answer aloud and timed: How do you handle asynchronous processing and dependency injection in your backend applications?

Recruiter Screening Call

HR conducts a screening call to discuss the candidate's resume, professional background, and interest in the company.

What to demonstrate

  • HR conducts a screening call to discuss the candidate's resume, professional background, and interest in the company
  • Depth in JavaScript

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 Phase

Candidates participate in live coding rounds, technical deep dives into previous projects, and architectural discussions.

What to demonstrate

  • Candidates participate in live coding rounds, technical deep dives into previous projects, and architectural discussions
  • Depth in JavaScript

How to prepare

  • Answer aloud and timed: How do you approach writing complex SQL queries and optimizing database performance?
  • Answer aloud and timed: Solve a medium-level LeetCode problem involving array manipulation or string processing.

Behavioral Interviews

Interviews focus on communication skills, team collaboration, and alignment with corporate expectations.

What to demonstrate

  • Interviews focus on communication skills, team collaboration, and alignment with corporate expectations
  • Depth in JavaScript

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.

Where candidates lose points

Communicate your thought process

During live coding and system design rounds, never code in silence. Talk through your assumptions, explain why you chose a particular data structure, and discuss trade-offs openly with your interviewer.

Master your resume projects

Interviewers frequently ask for deep dives into past work. Be prepared to discuss the architecture, your specific contributions, technical challenges you overcame, and measurable outcomes of your projects.

Brush up on your foundational stack

Do not rely solely on general algorithms. Make sure you can answer language-specific trivia and framework internals for technologies like Java, Spring Boot, and JavaScript.

Prepare structured behavioral stories

Use concise, results-oriented examples to answer behavioral questions. Highlight how you handled production failures, resolved technical disagreements, or collaborated across cross-functional teams.

Questions & practice

Solve a medium-level LeetCode problem involving array manipulation or string processing.

Medium · Coding and 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?

Write a function to traverse a tree structure and return specific node values.

Medium · Coding and 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 implement a caching mechanism for frequently accessed data?

Medium · Coding and 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 optimize an inefficient sorting algorithm and explain its time and space complexity?

Medium · Coding and 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?

Write a script to parse and validate incoming JSON payloads in JavaScript or Java.

Medium · Coding and 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 do you approach writing complex SQL queries and optimizing database performance?

Medium · Technical and Domain Knowledge

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?

Stop tag and share joins from fanning out a page

Medium · join fan-out · semi-joins · many-to-many

resource_tag is (resource_id, tag_id) with PK (resource_id, tag_id); resource_share is (resource_id, shared_with_user_id, permission). The tagged-and-shared listing inner-joins resource to both, filters tenant_id, tag_id = ANY($2) and shared_with_user_id = $3, orders by updated_at DESC and takes 50. Pages come back with fewer than 50 distinct resources and the total in the header is far too high. Explain the row multiplication, rewrite both the page query and the count query so each is correct, and name the index each one needs. PostgreSQL 16.

Approach

  1. Do the arithmetic against the predicates that are actually there. An inner join emits one row per matching child row, and both joins are filtered: tag_id = ANY($2) admits only the requested tags, shared_with_user_id = $3 admits one user's share rows. So a resource holding three of the requested tags and shared with $3 once yields three rows, not one — the multiplier is its count of matching tags times its share rows for that single user, and that second factor is 1 unless the table admits duplicate (resource_id, shared_with_user_id) pairs. LIMIT 50 then limits rows rather than resources, and COUNT(*) counts pairs — the header is the product, not the population.
  2. Reject DISTINCT as the fix. It deduplicates after the product has been built, so the planner must materialise and sort the fanned-out set before the LIMIT can apply, and it leaves any SUM or AVG in the same select list wrong.
  3. Rewrite both filters as semi-joins, keeping resource as the only row source: AND EXISTS (SELECT 1 FROM resource_tag rt WHERE rt.resource_id = r.resource_id AND rt.tag_id = ANY($2)) and the same shape against resource_share. A semi-join stops at the first match per resource and preserves the driving index order, so ORDER BY updated_at DESC, resource_id DESC LIMIT 50 still stops after 50 rows.
  4. Count with the same predicates and no join at all: SELECT count(*) FROM resource r WHERE r.tenant_id = $1 AND r.status = 'active' AND EXISTS (...) AND EXISTS (...). Nothing multiplies a resource, so the number is the population.

Follow-up

  • The filter changes from 'any of these tags' to 'all of these tags'. Rewrite it and state what it costs relative to the ANY form.
  • A resource can be shared with the same user twice under different permissions. Does your count change, and should it?

Can you explain key JavaScript fundamentals and common frontend design patterns?

Medium · Technical and Domain Knowledge

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?

Walk me through a complex project on your resume from conception to deployment.

Medium · Project Deep Dive and System Design

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 a scalable API endpoint to handle high volumes of concurrent requests?

Medium · Project Deep Dive and System Design

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 secure authentication and authorization in modern applications?

Medium · Project Deep Dive and System Design

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 background in software testing, debugging, and quality assurance practices?

Medium · Technical and Domain Knowledge

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?

Describe a situation where a production deployment failed. How did you troubleshoot and remediate it?

Medium · Behavioral and Culture Fit

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 New York Life candidates report.

Day 1 — Map the New York Life loop

  • Write out the reported sequence: Online Assessment, Recruiter Screening Call, Technical Phase, Behavioral 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 JavaScript

  • Spend the session on JavaScript, which New York Life candidates report being tested on.
  • Write one worked example in JavaScript and time yourself on it.

Deliverable: One timed worked example in JavaScript.

Day 3 — Work Frontend Development

  • Spend the session on Frontend Development, which New York Life candidates report being tested on.
  • Write one worked example in Frontend Development and time yourself on it.

Deliverable: One timed worked example in Frontend Development.

Day 4 — Work Identity & Access Management (IAM)

  • Spend the session on Identity & Access Management (IAM), which New York Life candidates report being tested on.
  • Write one worked example in Identity & Access Management (IAM) and time yourself on it.

Deliverable: One timed worked example in Identity & Access Management (IAM).

Day 5 — Answer out loud: Technical and Domain Knowledge

  • Answer aloud, timed: Walk me through your experience with Java, Spring, and Spring Boot architecture.
  • Answer aloud, timed: How do you handle asynchronous processing and dependency injection in your backend applications?

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

Day 6 — Answer out loud: Coding and Algorithms

  • Answer aloud, timed: Solve a medium-level LeetCode problem involving array manipulation or string processing.
  • Answer aloud, timed: Write a function to traverse a tree structure and return specific node values.

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

Day 7 — Answer out loud: Project Deep Dive and System Design

  • Answer aloud, timed: Walk me through a complex project on your resume from conception to deployment.
  • Answer aloud, timed: How do you design a scalable API endpoint to handle high volumes of concurrent requests?

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

Behavioural preparation

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

Walk me through your experience with Java, Spring, and Spring Boot architecture.

Medium · Technical and Domain Knowledge

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 asynchronous processing and dependency injection in your backend applications?

Medium · Technical and Domain Knowledge

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 database migrations and schema updates in a production environment?

Medium · Project Deep Dive and System Design

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 refactor a legacy system. How did you ensure zero downtime?

Medium · Project Deep Dive and System Design

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?

Tell me about a time you disagreed with a teammate on a technical approach. How did you resolve it?

Medium · Behavioral and Culture 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?

How do you manage competing priorities and tight deadlines in a fast-paced sprint?

Medium · Behavioral and Culture 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 do you want to work as a Software Engineer at New York Life?

Medium · Behavioral and Culture 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?

How do you keep your technical skills sharp and stay updated with industry trends?

Medium · Behavioral and Culture 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?