DevJobs

Senior Backend Engineer

Overview
Skills
  • C# C#
  • Java Java
  • TypeScript TypeScript
  • Node.js Node.js
  • Kafka Kafka
  • NestJS NestJS
  • MySQL MySQL
  • MongoDB MongoDB
  • Elasticsearch Elasticsearch
  • AWS AWS
  • Docker Docker
  • Kubernetes Kubernetes
  • RabbitMQ RabbitMQ

KELA is looking for a highly motivated Senior Backend Engineer to join our engineering team in building our product.

Our engineering team is small enough that you can have a significant impact on both the product and the company. As a Senior Backend Engineer, you will play a critical role in designing, developing, and optimizing our large-scale backend systems and complex data collection pipelines.

We work with massive amounts of data at high scale, using a microservices architecture to ensure scalability, reliability, and flexibility. You’ll be tackling challenging engineering problems while shaping our architecture for performance and long-term growth.



Technology Stack

:C#, TypeScript (NestJS / NodeJS), MongoDB, Elasticsearch, MySQL, Kafka, RabbitMQ, Docker, Kubernetes, AWS, and more


.
About the positio

  • n:Work as part of a team to design, build, and maintain high-performance backend services in a microservices environmen
  • t.Take ownership of complex features and systems, from design through implementatio
  • n.Optimize data collection pipelines and backend systems for scalability and efficienc
  • y.Continuously learn, evaluate, and adopt new technologies and methodologies to improve our products and architectur


e.
Requiremen

  • ts:At least 4 years of relevant experience as a backend engine
  • er.Strong experience with an object-oriented programming language (C#, Java, etc
  • .).Proven experience building and maintaining microservices-based architectur
  • es.Solid understanding of backend architectures, distributed systems, and data handling at sca
  • le.Sense of ownership, responsibility, and the ability to work well in a te
  • am.Excellent communication skil


ls.Advantag

  • es:Experience with cloud environments (AWS preferre
  • d).Hands-on with Kubernetes and containerized deploymen
  • ts.Experience with data collection pipelines or large-scale data syste


ms.
KELA