What You'll 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 : 4-6 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 Grips core values : Ownership, Transparency, Courage, Customer Obsession, Celebration