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Valce Talent Solutions

Backend Engineer

Posted 5 months ago
5-10 years experience
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AI Summary

Develop and support scalable backend services and microservices using Java or .NET. Implement GraphQL APIs, Kafka-based event-driven integrations, and optimize data services using SQL, MongoDB, and Redis.

Backend Engineer (.NET / GraphQL / Kafka / SQL / MongoDB / Redis)

Experience level

•Required: 5–7 years

•Preferred: 7–10 years

Primary technology stack

•Core backend: Java (must have) or C# / .NET (preferred)

•API: GraphQL

•Event streaming: Kafka

•Databases: SQL, MongoDB

•Caching: Redis

•Query language: SQL, Graph QL

Role summary

We are seeking a Backend Engineer with strong experience designing scalable APIs and distributed backend services using .NET, GraphQL, and Kafka. You will help build and support microservices and high-performance, data-driven applications in an enterprise environment.

Key responsibilities

•Develop backend services using java or C# / .NET.

•Design and implement GraphQL APIs.

•Implement Kafka-based, event-driven integrations.

•Build scalable data services using SQL and MongoDB.

•Implement caching strategies using Redis.

•Support and contribute to a microservices architecture.

•Optimize system performance, reliability, and operability.

•Participate in architecture and technical design discussions.

Required qualifications

•Strong backend development experience with either Java or C# / .NET.

•Experience implementing GraphQL APIs.

•Hands-on Kafka experience.

•Strong SQL development experience.

•Experience working with MongoDB.

•Experience implementing Redis caching.

•Experience supporting microservices environments.

•Agile delivery experience.

Preferred qualifications

•Distributed systems architecture experience.

•AWS or Azure exposure.

•Docker / Kubernetes experience.

•Experience supporting high-traffic production systems.

•Retail / digital commerce platform exposure.

Ideal candidate profile

•Strong API design experience.

•Solid understanding of event-driven architecture.

•Comfort working across relational and NoSQL data stores.

•Production experience with Kafka pipelines.

•Ability to operate independently within microservices platforms

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