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