Backend developer

Altraize; Maharashtra; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Altraize is seeking a backend engineering leader to own the design and delivery of AI-assisted, highly scalable microservices. You will drive architecture decisions, mentor engineers, and collaborate with Product, Data, and DevOps to ensure reliable, low-latency systems across Node.js and Golang stacks.

You will optimize data performance on MySQL/MongoDB, design resilient patterns, and manage cloud-native operations on GCP/AWS with Kubernetes, Docker, and observability tooling.

Responsibilities

• Lead design decisions for high-throughput, event-driven microservices.
• Architect resilient backend using Kafka, Redis, and cloud-native patterns.
• Own data layer performance with sub-second p99 latencies on MySQL/MongoDB.
• Guide features from design docs to Kubernetes deployment and monitoring.
• Develop clean, versioned APIs and modular services with clear contracts.
• Mentor engineers and collaborate with Product, Frontend, Data, and DevOps teams.
• Apply fundamentals of distributed systems and concurrency to hard problems.

Skills

Distributed systems

Leadership

RFCs

Mentorship

Communication

Tools

Node.js

NestJS

Express

Golang

MySQL

MongoDB

Redis

Kafka

Aerospike

ElasticSearch

Kubernetes

GCP

AWS

Docker

Prometheus

Grafana

OpenTelemetry

Cursor

Claude

Copilot

Job description

In This Role, You Will Be Directly Responsible For

• AI-Native Velocity: Lead the 70% AI-assisted PR mandate by mastering Cursor, Copilot, and Claude to accelerate delivery of Node.js (NestJS) and Golang microservices—while keeping human intelligence focused on high-level system design and architecture decisions.
• Unbreakable Backend Architecture: Architect high-throughput, event-driven microservices using Kafka and Redis, embedding resilience patterns like circuit breakers, health checks, and fallback mechanisms to handle massive traffic spikes without manual intervention.
• Data & Performance Ownership: Own the ‘unit economics’ of the data layer—optimize MySQL and MongoDB queries, design efficient schemas, and ensure sub-second p99 latencies with predictable infrastructure costs on GCP.
• End-to-End Golden Path Ownership: Drive features from design docs to Kubernetes deployment, ensuring high reliability through strong engineering practices and maintaining low change failure rates and minimal Sev-1 incidents.
• API & Service Design Excellence: Build clean, versioned, and backward-compatible APIs and modular microservices with a strong focus on maintainability, scalability, and clear service contracts.
• Cloud-Native Operations & Observability: Design and operate services on Kubernetes with robust logging, monitoring, and alerting; proactively debug production issues and ensure high availability.
• Scalability & Cost Efficiency: Continuously optimize system throughput, fault tolerance, and infrastructure utilization to support high growth while maintaining strict control over cloud costs.
• Technical Leadership & Collaboration: Lead design decisions, write clear RFCs, mentor engineers, and collaborate closely with Product, Frontend, Data, and DevOps teams to drive high-quality outcomes.
• Core Engineering Excellence: Apply strong fundamentals in distributed systems, concurrency, and data structures, combined with sharp problem-solving, debugging, and communication skills.

TECH STACK

• Languages & Frameworks: Node.js (NestJS / Express), Golang
• Data & Messaging: MySQL, MongoDB, Redis, Kafka, Aerospike, ElasticSearch
• Infrastructure: Kubernetes, GCP / AWS, Docker
• Observability: Prometheus, Grafana, OpenTelemetry
• AI Productivity: Cursor, Claude, GitHub Copilot

Skills: node.js,architecture,ai,claude,golang,backend development,kubernetes,messaging