Key Responsibilities:

Diagnose and fix performance bottlenecks across backend services, WebSocket connections, and API response times.

Investigate issues related to high memory usage, CPU spikes, and slow query execution.

Debug and optimize database queries (PostgreSQL) and ORM (Prisma) performance.

Implement and fine-tune connection pooling strategies for PostgreSQL and Redis.

Configure and maintain Kafka brokers, producers, and consumers to ensure high throughput.

Monitor and debug WebSocket issues like connection drops, latency, and reconnection strategies.

Optimize Redis usage and troubleshoot memory leaks or blocking commands.

Set up or maintain Prometheus + Grafana for service and infrastructure monitoring.

Work on containerized infrastructure using Docker and Kubernetes, including load balancing and scaling services.

Collaborate with developers to fix memory leaks, inefficient queries, and slow endpoints.

Maintain high availability and fault tolerance across all backend components.

🧠 Requirements:

Technical Skills:

Strong proficiency in Node.js and TypeScript.

Deep knowledge of Prisma ORM and PostgreSQL optimization.

Hands-on experience with Redis (pub/sub, caching, memory tuning).

Solid understanding of WebSockets performance and reconnection handling.

Experience working with Kafka (event streaming, partitions, consumer groups).

Familiar with Docker, container lifecycle, and multi-service orchestration.

Experience with Kubernetes (deployments, pods, autoscaling, resource limits).

Familiar with connection pooling strategies for DB and services.

Comfortable with performance monitoring tools like Prometheus, Grafana, UptimeRobot, etc.

Soft Skills:

Excellent debugging and analytical skills.

Able to work independently and solve complex issues.

Strong communication and documentation habits.

✅ Preferred Qualifications:

3+ years of experience in backend development.

Experience with CI/CD pipelines and production deployments.

Prior work with large-scale distributed systems is a plus