Sde-2 Backend

Hey, **What’s the Role About?** As an **SDE-2 Backend Engineer**, you won’t just write endpoints you’ll architect microservices, stream millions of events via Kafka, and optimize multi-terabyte datasets in MySQL and MongoDB. You’ll work at the intersection of scale, reliability, and product impact and own your services end-to-end. This role is for engineers who think in systems, care about clean, reliable code, and are driven by scale, performance, and ownership. **Why Join Us?** Purpose: You’ll own key parts of the Saleshandy backend, powering mission-critical product features and directly shaping user experience and reliability. Growth: You’ll work on high-scale systems, Kafka eventing, job queues, real-time insights, and API infra. This is the best place to grow into SDE-3 or Tech Lead roles. Motivation: If you enjoy solving architecture problems, optimizing bottlenecks, and working with high-agency engineers — this is the team you want to be on. **Your Main Goals** **1. Design and Ship Scalable Microservices (within 60 days)** Build and deploy new backend services using Node.js and clean architectural boundaries. Prioritize scalability, separation of concerns, and reusability. Goal: Ship 1-2 production-grade services used in live flows with clear ownership and on-call readiness. **2. Optimize MySQL and MongoDB Access Patterns (within 45 days)** Fix slow queries, optimize schema design, and reduce DB load using smart indexes and query planning. Target: Improve average query latency for key endpoints by 30%+ and reduce DB CPU usage on heavy tables. **3. Handle Real-Time Streams Using Kafka (within 90 days)** Process, partition, and consume Kafka streams reliably. Implement idempotent processing, back-pressure handling, and scale-out consumers. Outcome: Achieve >99.99% success rate on core Kafka stream with clean retry behavior and mínimal lag. **4. Strengthen Backend Reliability and Observability (within 75 days)** Improve service uptime, reduce flaky retries, and integrate robust logging/metrics using Grafana, Tempo, and Loki. Result: Cut production escalations for your services by 50%, and ensure clear dashboards and alerts are in place. **Important Tasks** **1. First 30 Days - Service Audit & Ownership Setup** Review existing backend services and take full ownership of 1-2 of them. Set up on-call readiness, alerts, and health dashboards. **2. Design a New Microservice** From product requirement to deployment — design, implement, test, and release a new backend service with real business value. **3. Kafka Consumption at Scale** Implement a Kafka consumer that handles 100k+ events/day with offset tracking, retries, dead-letter queue, and observability. **4. Solve a High-Impact DB Performance Issue** Pick a slow API or query and improve it end-to-end — from EXPLAIN to caching to schema change or code refactor. **5. Contribute to Infra Best Practices** Collaborate with SREs and infra team to improve Docker setup, deploys, or rate-limiting logic. Bonus if you eliminate flaky CI/CD issues. **6. AI Tooling Adoption** Use Copilot or Cursor to write, test, or debug code faster such as writing unit tests for a queue processor or scaffolding boilerplate routes. **7. Participate in System Design Reviews** Present at least one design document in engineering review showing trade-offs, performance considerations, and reasoning. **Experience Level**: 3-5 years **Tech Stack**:Node.js, Kafka, MySQL, MongoDB, Redis, Docker **Culture Fit - Are You One of Us?** We don’t do “just ship it.” We do “ship fast, own the outcome, and make it scalable.” You’ll work with engineers who value clean design, measured trade-offs, and long-term thinking. We expect you to speak up, take charge, and grow fast. If you love solving system design puzzles, own your numbers, and get a thrill when things just work you’ll feel right at home here.