Full Stack with Node.js Interview Questions for 10 Years Experience
40 questions with answers for candidates with 10+ years of experience — 15 medium, 25 hard.
What interviewers expect: 10 years experience
At ten years, roles are principal engineer, architect or engineering manager. Interviews explore platform strategy, multi-team architecture, technology choices, build versus buy decisions, governance for APIs and security, hiring and growing engineers and aligning technical roadmaps with business goals. Expect deep discussions of past large-scale systems, what went wrong, what you would change and how you measured success.
This set is weighted towards Deployment, Scaling and Performance (10), Testing and Debugging (7), REST API Design (5), Authentication and Security (5).
Platform architecture Technology strategy Organisation-wide standards People leadership
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I check that config is validated, secrets are in a secret store, and logs are structured with request IDs. Health and readiness endpoints exist, graceful shutdown works, timeouts and retries are set on outbound calls, and rate limiting and helmet are enabled. Dashboards, alerts and runbooks are ready, load tests pass targets, backups are verified and a rollback plan is documented.
03
What are health check endpoints and what is the difference between liveness and readiness?
Health endpoints let orchestrators check the app. Liveness answers whether the process is alive; if it fails, the container is restarted, so keep it simple. Readiness answers whether the instance can serve traffic, checking database and cache connections; if it fails, the load balancer stops sending requests but does not restart it. During shutdown, fail readiness first.
04
What is idempotency and how do you implement idempotency keys for a payment API?
An idempotent operation gives the same result when repeated. For POST /payments, the client sends a unique Idempotency-Key header. The server stores the key with the request hash and response, for example in Redis or a table with a unique index. If the same key arrives again, it returns the saved response instead of charging twice. Keys expire after about 24 hours.
05
What metrics would you monitor for a Node.js API in production?
Use the RED method for requests: rate, errors and duration with p50, p95 and p99. Add Node-specific metrics: event loop lag, heap used, garbage collection time and active handles, plus CPU, memory and restarts. Monitor dependencies such as database query time, pool usage and cache hit ratio. Export with prom-client or OpenTelemetry and alert on symptoms users feel.
06
Describe a situation where you found and fixed a production performance problem.
Situation: our search API p95 latency jumped from 200 ms to 2 seconds after a release. Task: as on-call engineer I had to find the cause fast. Action: I checked APM traces, saw a new synchronous JSON transform blocking the event loop, moved it to a cached precomputed field and added an event loop lag alert. Result: latency returned to normal within a day and we added a performance check to code review.
07
How do you implement filtering and sorting safely from query parameters?
Offset pagination uses page and limit, translated to LIMIT and OFFSET. It is simple and allows jumping to a page, but gets slow on large tables and can skip or repeat rows when data changes. Cursor pagination uses the last seen value, such as id or created_at, to fetch the next set with a WHERE clause. It is fast and stable, ideal for feeds and infinite scroll.
09
How do you prevent a cache stampede when a popular key expires?
When a hot key expires, thousands of requests may hit the database at once. Solutions: allow only one request to rebuild the cache using a short Redis lock while others wait or serve stale data, refresh hot keys in the background before expiry, add random jitter to TTLs so keys do not expire together, and use stale-while-revalidate where slightly old data is acceptable.
10
An API listing orders became slow after the table reached 50 million rows. How do you investigate?
Run EXPLAIN ANALYZE on the slow query to see whether it does a sequential scan or a costly sort. Add a composite index matching the filter and sort, for example (user_id, created_at DESC). Replace OFFSET pagination with cursor pagination, select only needed columns, and consider partitioning by date and archiving old rows. Monitor slow query logs after the change.
11
A partner integration retries POST requests on timeouts and creates duplicate orders in your API. How would you redesign the endpoint?
Require an Idempotency-Key header on order creation and store it with a unique index alongside the created order ID and response. On a repeated key with the same payload, return the original response; with a different payload, return 409 or 422. Also add a unique business constraint such as partner order reference, respond quickly by queueing slow work, and document retry behaviour for partners.
12
Compare session-based authentication with JWT-based authentication.
Sessions store state on the server, often in Redis, and the client holds only a session ID cookie; logout and revocation are easy. JWTs are stateless, so any service can verify them without a lookup, which suits microservices and mobile apps, but revoking a token before expiry needs a denylist or short lifetimes. Many systems combine short-lived JWT access tokens with server-stored refresh tokens.
13
What are XSS and CSRF and how do you protect a Node.js app from them?
XSS injects malicious script into pages other users view; prevent it by escaping output, using templating or React auto-escaping, sanitising rich HTML with DOMPurify and setting a strong Content-Security-Policy. CSRF tricks a logged-in browser into sending unwanted requests; prevent it with SameSite cookies, CSRF tokens for cookie-based auth and checking Origin headers on state-changing requests.
14
How would you design authentication for a system of ten microservices?
Centralise login in an identity service or provider such as Keycloak, Auth0 or Cognito that issues short-lived JWTs signed with RS256. The API gateway validates tokens, and each service verifies the signature using the public keys from a JWKS endpoint, so no shared secret is needed. Use service-to-service tokens or mTLS for internal calls and keep authorisation checks inside each service.
15
What is contract testing and why is it useful for microservices?
Contract testing verifies that a provider API and its consumers agree on request and response formats without running the whole system. With Pact, the consumer writes expectations that become a contract, and the provider runs them in its own CI. It catches breaking changes like a renamed field before deployment, and is faster and less flaky than full end-to-end environments.
16
Write code to verify an HMAC signature on an incoming webhook in Express.
Situation: customers occasionally received two invoices. Task: I had to find why it happened only in production. Action: I added request IDs to logs and found a forEach with async callbacks plus a retry triggering a second save before the first finished. I replaced it with for...of, added a unique index on invoice number and made the job idempotent. Result: duplicates stopped completely.
19
How would you migrate a monolithic Node.js app to microservices?
Do it gradually with the strangler fig pattern. Identify bounded contexts like auth, catalogue and payments, pick one with clear boundaries and high change rate, extract it behind an API gateway and route traffic to it. Give each service its own data, communicate through APIs and events, and invest in logging, tracing and CI first. Do not split before the monolith causes real pain.
20
Production shows intermittent 502 errors from the load balancer but your app logs show nothing. How do you investigate?
A 502 means the load balancer got a bad or no response from the app. Check whether pods restarted or crashed through OOM kills, health check failures and deployment times. A common Node cause is keep-alive mismatch: set server.keepAliveTimeout higher than the load balancer idle timeout and headersTimeout above that. Also check event loop blocking and connection limits.
21
How do you design an API that needs to handle 50,000 requests per second for reading product details?
Make the read path cache-heavy: CDN caching for public product pages, Redis cache for product details with high hit ratio, and database read replicas behind it. Run many stateless Node instances with autoscaling, keep responses small and compressed, and use keep-alive connections. Avoid cache stampedes with request coalescing or locks, and precompute data that is expensive to build.
22
How would you handle uncaughtException and unhandledRejection in production?
Log both with full stack traces and context, then exit the process after flushing logs, because state may be corrupted. A process manager like PM2, systemd or Kubernetes restarts it. Never use uncaughtException to keep running as if nothing happened. Since Node 15, unhandled rejections crash the process by default, so every promise chain should have proper error handling.
23
Your JWT secret has leaked. What steps do you take?
Treat it as an incident. Generate a new secret and deploy it immediately, which invalidates all existing tokens and forces re-login. Revoke refresh tokens in the database, check logs for suspicious tokens or admin actions, and find how it leaked, for example a committed .env or logs. Move to a secrets manager, consider asymmetric RS256 keys with key IDs to rotate safely, and document the incident.
24
You need to choose a database for a food delivery app's orders, live rider locations and menus. What would you pick?
Orders and payments need strong consistency and transactions, so PostgreSQL or MySQL fits. Live rider locations change every few seconds and need geo queries, so Redis with geospatial commands works well for the hot data, with history stored elsewhere. Menus are read-heavy and nested, so a document store like MongoDB or Postgres JSONB plus caching suits them.
25
How do you find which function is using the most CPU in a Node.js service?
Reproduce the load with autocannon or k6, then profile with node --cpu-prof to generate a .cpuprofile file and open it in Chrome DevTools, or use clinic flame to get a flame graph. Wide bars show hot functions. Common culprits are JSON.stringify on huge objects, synchronous crypto, regex backtracking and heavy loops. Fix and re-measure under the same load.
26
Explain debounce and throttle and where they matter on the backend.
Debounce runs a function only after calls stop for a set time, merging bursts into one call. Throttle runs it at most once per interval. On the backend they help when batching cache invalidation, limiting webhook processing, writing metrics, or reacting to file watcher events. For API traffic you normally use a rate limiter instead, which is a server-side form of throttling.
27
A regex in your validation code makes the server hang on certain inputs. What is the issue?
This is likely ReDoS, regular expression denial of service. Patterns with nested quantifiers such as (a+)+ can backtrack exponentially on crafted input, blocking the event loop. Fix by simplifying the regex, limiting input length before matching, using well-tested validators like validator.js, or a linear-time engine such as re2. Add tests with long malicious strings.
28
Your service calls three microservices and fails completely if one is down. How would you make it more resilient?
Use Promise.allSettled so one failure does not reject everything, and return partial data with clear flags. Add timeouts to every call, retries with backoff for transient errors and a circuit breaker such as opossum to stop hammering a failing service. Provide fallbacks like cached values and log failures with correlation IDs so the issue can be traced.
29
How do you load test a Node.js API before a big sale event?
Define targets from expected traffic, such as 5,000 requests per second with p95 under 300 ms. Write realistic scenarios in k6 or Artillery covering browse, cart and checkout, run them against a production-like environment, and ramp up gradually. Watch latency, error rates, CPU, memory, event loop lag and database metrics, then fix bottlenecks and rerun until targets are met with headroom.
30
Your Express API needs to support multiple client apps with different rate limits. How would you design it?
Identify the client through an API key or OAuth client ID in authentication middleware and attach the plan to req. Then use express-rate-limit or a custom limiter with a Redis store, keyed by client ID, with limits read from the plan. Return 429 with Retry-After and RateLimit headers. Redis keeps limits consistent across multiple server instances.
31
Memory usage of a Node.js service grows steadily until the pod restarts. How would you find the leak?
First confirm with metrics that heap used keeps rising under steady traffic. Take heap snapshots with --inspect and Chrome DevTools or heapdump at intervals and compare them to find objects whose count keeps growing. Common causes are global caches without limits, event listeners added per request, closures holding large objects and unclosed timers. Fix, then load test with autocannon to verify heap stabilises.
32
Describe a time you led a technical decision that affected the whole team.
Situation: our five Node services used different logging and error formats, making incidents slow to debug. Task: as tech lead I wanted one standard. Action: I wrote a short RFC comparing options, built a shared package with pino, request IDs and an error handler, collected feedback and migrated one service as a pilot. Result: all services adopted it within a month and mean time to resolve incidents fell noticeably.
33
After a Node.js version upgrade, a few integration tests fail with date and crypto differences. How do you handle the upgrade safely?
Read the release notes and changelog for breaking changes, such as deprecated APIs, OpenSSL updates or changed default behaviour. Run the full test suite on the new version in a CI matrix alongside the old one, fix failures one by one and check native modules rebuild correctly. Roll out to staging, then to a canary in production while watching error rates before upgrading all services.
An async function always returns a promise. await pauses that function until the awaited promise settles, then resumes it with the value or throws the rejection, while the event loop keeps running other work. Internally it is built on promises and generator-like suspension. The code reads like synchronous code but is still non-blocking, and errors are handled with ordinary try/catch.
35
You need to choose between Node.js and Java for a new high-traffic service. How would you decide?
I would look at the workload and team. Node.js fits I/O-heavy services like API gateways, chat, notifications and BFF layers, with fast development and shared JavaScript skills. Java fits CPU-heavy processing, complex multi-threaded logic and teams with strong JVM experience. I would benchmark a prototype for the real access pattern and consider hiring, libraries and existing platform tooling before deciding.
36
Your API's p99 latency is high during peak hours even though CPU is only 40 percent. What could be wrong?
Low CPU with high latency suggests waiting, not computing. Check database query times and connection pool wait, slow downstream APIs, Redis latency, DNS lookups without keep-alive agents, garbage collection pauses and event loop lag from occasional heavy requests. Use distributed tracing with OpenTelemetry to see where time goes, then add indexes, caching, timeouts or more pool connections.
37
How do you manage database schema migrations in a Node.js project?
Use a migration tool such as Prisma Migrate, Knex, Sequelize CLI or TypeORM migrations, and commit migration files to Git. Each migration has up and ideally down steps and runs in CI and before deployment. For zero downtime, use expand and contract: add new columns first, deploy code that writes both, backfill, switch reads, then drop old columns in a later release.
38
How do you prevent server-side request forgery when your API fetches a user-supplied URL?
An attacker could make your server call internal addresses such as 169.254.169.254 for cloud metadata or localhost admin ports. Allow only http and https, resolve the hostname and block private, loopback and link-local IP ranges, use an allowlist of domains where possible, disable redirects or revalidate them, set short timeouts and size limits, and run fetchers in an isolated network.
39
How do you optimise JSON serialisation for very large API responses?
Large JSON.stringify calls block the event loop. Reduce payload size with pagination and field selection first. For unavoidable large outputs, stream the response as NDJSON or a streamed JSON array, use schema-based fast serialisers like fast-json-stringify, which Fastify uses, and cache precomputed responses. Offload heavy transformation to worker threads or background jobs that write files to storage.
40
How do you add a correlation ID to every log line for a request?
const { AsyncLocalStorage } = require('async_hooks');
const { randomUUID } = require('crypto');
const als = new AsyncLocalStorage();
app.use((req, res, next) => {
const id = req.get('X-Request-Id') || randomUUID();
res.set('X-Request-Id', id);
als.run({ requestId: id }, next);
});
const log = (msg, extra = {}) =>
logger.info({ ...extra, requestId: als.getStore()?.requestId }, msg);
// Pass the ID to downstream services in headers.
Frequently asked questions
What is asked in Full Stack with Node.js interviews for 10+ years of experience?
At ten years, roles are principal engineer, architect or engineering manager. Interviews explore platform strategy, multi-team architecture, technology choices, build versus buy decisions, governance for APIs and security, hiring and growing engineers and aligning technical roadmaps with business goals. Expect deep discussions of past large-scale systems, what went wrong, what you would change and how you measured success.
How many questions should I practise before a Full Stack with Node.js interview?
Work through all 40 questions here, then the company-wise sets for the employers you are targeting. Quality matters more than count: be able to explain why each answer is right.
Which topics matter most for 10+ years of experience?
Focus first on Platform architecture, Technology strategy, Organisation-wide standards, People leadership.