SDE-II Backend Engineer β Role Understanding
Goal of this file: Make it crystal clear what an SDE-II Backend Engineer is expected to do in interviews and in a real team so you can align your preparation and projects accordingly.
What Is Expected From an SDE-II Backend Engineer?β
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Scope & Ownership
- Own medium-to-large services or features end-to-end (design β implementation β deployment β monitoring).
- Work with imperfect requirements, clarify with stakeholders, and propose technical options with trade-offs.
- Unblock juniors, review code, and contribute to engineering standards (coding, testing, observability, security).
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Technical Depth
- Strong in TypeScript/JavaScript and Node.js internals.
- Solid understanding of HTTP, REST APIs, databases (MongoDB/MySQL), caching (Redis), queues, and distributed systems basics.
- Can design and implement robust, observable, secure services that run in production.
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System Design & Architecture
- Design modular, scalable, maintainable service architectures.
- Understand HLD (high-level design) and LLD (low-level design): APIs, data models, class design, patterns.
- Communicate designs with diagrams, explain trade-offs, and respond to feedback.
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Quality & Reliability
- Write clean, testable code with unit, integration, and API tests.
- Integrate with CI/CD pipelines, use feature flags, and understand rollback strategies.
- Proactively consider failure modes, implement timeouts, retries, idempotency, and rate limiting.
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Collaboration & Leadership
- Mentor junior engineers, give constructive code reviews.
- Communicate effectively with PMs, QAs, DevOps, and other teams.
- Drive small technical initiatives (e.g., logging standardization, error handling improvements).
Expectations in Interviewsβ
1. Coding + DSA (Backend-Relevant)β
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What they test
- Ability to write correct, efficient, readable code under time pressure.
- Comfort with arrays, strings, hash maps, sets, trees, graphs (practical), heaps, sliding window, two pointers.
- Clean handling of edge cases, error cases, and input validation.
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How it differs from SDE-I
- Higher expectations for code quality: modular functions, good names, clear invariants, tests (if time).
- Better time/space complexity analysis and ability to explain trade-offs (e.g., why use a heap vs sort).
- Owning the problem-solving process: you drive the conversation.
2. Machine Coding / LLD Roundsβ
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What they test
- Ability to translate a product requirement into:
- Well-defined APIs or classes
- Data models (DB schemas, entities)
- Appropriate design patterns (Strategy, Factory, Observer, etc.)
- Code that is extensible and maintainable, not just "works once".
- Ability to translate a product requirement into:
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Typical problems
- Parking lot, Splitwise, Rate limiter, In-memory cache, Pub/Sub, In-memory DB, Notification service.
3. System Design (HLD + LLD)β
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What they test
- Can you design a backend system for millions of users?
- Do you understand bottlenecks, scaling strategies, data modeling, consistency vs availability?
- Can you discuss APIs, storage choices, caching, queues, rate limiting, load balancing?
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Examples
- Design Swiggy/Uber (location tracking, matching, pricing, surge).
- Design Instagram/Notification service/Rate limiter/File storage service.
4. Backend Fundamentals & Theoryβ
- What they test
- Basic but solid understanding of:
- Networking: TCP vs UDP, HTTP, DNS, proxies, SSL/TLS.
- OS: processes vs threads, context switching, scheduling basics, memory management.
- DBMS: indexing, normalization, ACID, transactions, isolation levels.
- Distributed systems basics: CAP, eventual consistency, replication, sharding.
- Basic but solid understanding of:
5. Behavioral & Ownershipβ
- What they test
- Examples of owning a project end-to-end.
- Handling production incidents, debugging, and post-mortems.
- Ability to work with conflict, communicate clearly, and learn from mistakes.
Expectations in Real Teamsβ
Responsibility Scopeβ
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Medium-sized services or components
- Own one or more services (e.g.,
payments-service,notification-service). - Drive feature development from idea to production, coordinate with PM/QA/DevOps.
- Own one or more services (e.g.,
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Example
You are the owner of "Notification Service":
- Understand requirements: email, SMS, push, in-app.
- Propose architecture: API gateway β notification-service β providers (SES, Twilio, FCM).
- Design DB schema: notifications, templates, user preferences.
- Implement APIs: sendNotification, getNotificationStatus.
- Add observability: logs, metrics, traces.
- Handle incidents: retries, DLQ, alerts.
Day-to-Day Activitiesβ
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Design
- Participate in design discussions and write design docs for new features.
- Review other engineersβ designs and suggest improvements.
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Implementation
- Convert requirements into tickets and tasks.
- Write TypeScript/Node.js code with tests and documentation.
- Integrate with databases, caches, queues, third-party APIs.
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Quality & Operations
- Add and maintain metrics, logs, and alerts.
- Participate in on-call rotations, help debug production issues.
- Suggest and implement performance improvements (e.g., caching, query optimization).
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Collaboration
- Mentor juniors via pair-programming, code reviews, and knowledge-sharing sessions.
- Communicate progress and risks clearly to leads and managers.
Skills Required to Be Productive From Day 1β
Use this as a target checklist for your preparation.
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Language & Runtime
- TypeScript/JavaScript
- Comfortable with ES6+ features, async/await, promises, prototypes, closures, modules.
- Understand TypeScript types, interfaces, generics, utility types, type narrowing.
- Node.js
- Understand event loop, libuv, async IO, clustering, worker threads.
- Experience with Express/Fastify, middleware, routing, error handling.
- TypeScript/JavaScript
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Backend Fundamentals
- HTTP & REST
- HTTP verbs, status codes, headers, cookies, sessions, pagination, versioning.
- API Design
- Consistent resource naming, request/response contracts, and error formats.
- Authentication & Authorization
- JWT, sessions, OAuth2 basics, role-based access control, permission checks.
- HTTP & REST
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Data & Storage
- MongoDB
- Collections, documents, schema design, indexes, aggregation.
- MySQL
- Tables, normalization, joins, indexes, transactions.
- Redis
- Basic data structures, caching patterns (write-through, write-back), rate limiting.
- MongoDB
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Distributed Systems & Infrastructure
- Caching, Queues, Rate Limiting, Load Balancing
- Basics of AWS (EC2, RDS, S3, SQS, Lambda, API Gateway).
- Understanding of CI/CD, containers (Docker), and basic Kubernetes concepts (optional but valuable).
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Reliability & Observability
- Logging best practices (structured logs, correlation IDs).
- Metrics (latency, throughput, error rate, saturation).
- Tracing basics, dashboards, and alerting.
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Design & Patterns
- Familiarity with SOLID principles and patterns (Factory, Strategy, Adapter, Observer, Repository, etc.).
- Ability to create clean LLD: classes, interfaces, modules, layering (controller/service/repository).
ASCII View: SDE-II Backend Skill Mapβ
+---------------------------+
| SDE-II Backend (Node) |
+---------------------------+
/ | \
/ | \
Language/Runtime | System Design
/ | \
JS/TS, Node.js Backend Fundamentals Distributed Systems
(HTTP, APIs, Auth) (Caching, Queues, Scaling)
Data & Storage Quality & Ops Leadership
(Mongo, MySQL, Redis) (Testing, CI/CD, (Mentoring, Reviews,
Monitoring) Communication)
Use this file as a north star: every day of your preparation plan should move you closer to this SDE-II profile.