Engineer Manager

Astro Arun Pandit; Dadri; On-site; INR 3,200,000 - 4,200,000; Full time

Job summary

Astro Arun Pandit in Noida is seeking an Engineering Manager (Backend Heavy) to lead backend service design, development, and delivery in a scalable, secure environment.

You will own architecture across Node.js and Go, manage microservices on Kubernetes, and drive observability, reliability, and best practices across teams. The role requires 7-8 years of backend leadership and strong cross-functional collaboration.

Qualifications

• 7-8 years of backend engineering leadership experience.
• Hands-on with Node.js and/or Go for production services.
• Strong Kubernetes knowledge for containerised deployments.
• Practical experience with Kafka and event-driven architectures.

Responsibilities

• Lead design, development, and delivery of scalable backend services and APIs.
• Own backend architecture decisions with Node.js/Go.
• Design and manage distributed systems and microservices on Kubernetes.
• Build and operate event-driven architectures using Kafka and AWS SQS.
• Design real-time systems using WebSockets for low-latency experiences.
• Drive engineering processes, deployments, observability, and reliability.
• Mentor engineers, conduct reviews, and guide capability development.
• Collaborate with Product, Design, QA, DevOps, and business stakeholders.

Skills

Backend Engineering & API Development

Node.js

Go

Microservices

Distributed Systems

Kubernetes

Apache Kafka

AWS SQS

WebSockets

System Design

Database & Caching

Reliability Engineering

Code Review

Technical Leadership

Team Management

Problem Solving

Cross-Functional Communication

Job description

JOB DESCRIPTION
Job Title: Engineering Manager (Backend Heavy)
Department: Technology / Engineering
Location: Noida
Experience: 7-8 years

Key Responsibilities

• Lead the design, development, and delivery of scalable, secure, and high-performance backend services and APIs.
• Own backend architecture decisions across Node.js and Go-based services, with a strong focus on maintainability and scalability.
• Design and manage distributed systems and microservices running in containerised environments using Kubernetes.
• Build and operate event-driven architectures using Kafka and AWS SQS for asynchronous processing, messaging, and reliable workflows.
• Design and maintain real-time communication systems using WebSockets/sockets for low-latency product experiences.
• Drive system design, technical specifications, code quality, reviews, testing standards, and engineering best practices.
• Lead troubleshooting of production issues, performance bottlenecks, service failures, and scalability challenges.
• Define and improve engineering processes, deployment practices, observability, monitoring, and operational reliability.
• Mentor engineers, provide technical direction, conduct code/design reviews, and support career and capability development.
• Work closely with Product, Design, QA, DevOps, and business stakeholders to translate requirements into reliable technical solutions.
• Own delivery timelines for engineering initiatives and proactively identify technical risks, dependencies, and resource requirements.

Skills & Competencies Required

• Backend Engineering & API Development
• Node.js and Go
• Microservices & Distributed Systems
• Kubernetes & Containerised Deployments
• Apache Kafka / Event-Driven Architecture
• AWS SQS / Asynchronous Messaging
• WebSockets / Socket-Based Real-Time Systems
• System Design & Architecture
• Database, Caching & Performance Optimisation
• Production Debugging & Reliability Engineering
• Code Review & Engineering Standards
• Technical Leadership & Team Management
• Problem Solving & Attention to Detail
• Cross-Functional Communication

Experience & Qualifications

• 7-8 years of professional experience in backend engineering, software development, or a similar technology role, with relevant engineering leadership experience.
• Strong hands-on experience with Node.js and/or Go for building production-grade backend services and APIs.
• Strong understanding of Kubernetes and experience operating or deploying containerised backend applications.
• Practical experience with Kafka and event-driven architectures, including producers, consumers, partitions, offsets, and message processing patterns.
• Hands-on understanding of AWS SQS or similar queue-based asynchronous processing systems.
• Experience building real-time systems using WebSockets, Socket.IO, or comparable socket-based technologies.
• Strong understanding of system design, scalability, concurrency, fault tolerance, service communication, and distributed systems.
• Experience handling production systems, incident resolution, monitoring, performance optimisation, and reliability improvements.
• Experience mentoring engineers and leading technical initiatives while remaining comfortable with hands-on engineering work.
• Strong communication skills with the ability to work effectively with Product, QA, DevOps, and other cross-functional teams.