SDE-2 Backend

Job description

What Youll Do: Backend Engineering & System Design 1. Architect, implement, and scale backend services using NestJS and Node.js 2. Design for scale: APIs and systems capable of handling 10k+ RPS, horizontal scaling, and data partitioning strategies 3. Translate product requirements into robust, event-driven, distributed architectures Database & Infrastructure 1. Design and optimize both SQL (Postgres/MySQL) and NoSQL (MongoDB/Redis) databases 2. Drive data modeling, indexing, and query optimization for performance and scalability AI-Driven Development 1. Use AI coding tools (Cursor, Claude, GitHub Copilot, etc.) to accelerate development and maintain quality 2. Integrate AI/ML components into backend workflows (recommendations, personalization, automation engines) 3. Drive best practices for AI-assisted engineering workflows, evaluating new tools and scaling adoption Code Quality & Observability 1. Write clean, maintainable, well-tested code following SOLID principles 2. Implement APMs & monitoring (NewRelic, Datadog, OpenObserve, Prometheus/Grafana) for real-time insights Ownership & Reliability 1. Own end-to-end delivery of features/modules from design to production monitoring 2. Participate in on-call rotations, debugging and resolving live issues under pressure Collaboration & Leadership 1. Work closely with Product, Design, Data, and AI/ML teams to deliver end-to-end solutions 2. Able to lead a small team (2-4 developers) 3. Actively contribute to architecture roadmaps and technical strategy Qualifications Required 1. Education: B.Tech/M.Tech in Computer Science, Engineering, or related field 2. Experience: 46 years in backend development with strong focus on NestJS + Node.js 3. Strong fundamentals in Data Structures, Algorithms, OOP 4. Proven expertise in system design, distributed systems, and microservices 5. Hands-on experience with SQL & NoSQL databases 6. Practical knowledge of APMs/monitoring tools (NewRelic, Datadog, OpenObserve, etc.) 7. Experience building secure, compliant systems in regulated environments 8. Exposure to cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes) 9. Demonstrated use of AI coding assistants (Cursor, Claude, Copilot, Tabnine, etc.) in production projects Preferred Qualifications 1. Experience in fintech or regulated, high-compliance systems 2. Knowledge of event streaming platforms (Kafka, RabbitMQ) 3. Familiarity with DevOps & CI/CD pipelines 4. Experience integrating AI workflows into production systems 5. Strong communication skills — able to articulate technical trade-offs to both engineers and business stakeholders 6. Belief in Grip’s core values: Ownership, Transparency, Courage, Customer Obsession, Celebration