Remote Backend Engineer (Java/Kotlin) - AWS & GraphQL

Upwork; Jeeta; Remote; EUR 63.000 - 99.000; Vollzeit

Zusammenfassung

Upwork is seeking a backend-focused software engineer to design, build, and operate scalable cloud-native systems. You’ll work primarily with Java or Kotlin, Spring Boot, AWS, MongoDB Atlas, Aurora MySQL, and GraphQL using Netflix DGS.

Responsibilities include delivering backend work focused on compliance, cost savings, observability, and tooling, while designing reliable systems and collaborating across product, data science, and engineering teams.

Qualifikationen

• 3-5 years of backend-focused software development experience.
• Proficiency in Java and/or Kotlin.
• Experience with Spring Boot.
• Proficiency with MongoDB Atlas and Aurora MySQL on AWS.

Aufgaben

• Deliver backend engineering work involving compliance maintenance, cost savings, observability, and tooling.
• Design, build, and maintain scalable, performant software systems.
• Contribute to system architecture and mid-level technical design.
• Validate solutions through data and experimentation where appropriate.
• Write, test, document, deploy, and operate backend services.
• Participate in code reviews and design reviews.
• Collaborate with engineers, product managers, data scientists, designers, and cross-functional partners.
• Clarify requirements with product and engineering partners and translate them into maintainable implementations.

Kenntnisse

Java

Kotlin

Backend development

English comms

Cloud-native design

Tools

Spring Boot

AWS

MongoDB Atlas

Aurora MySQL

GraphQL

Netflix DGS

Kafka

Jobbeschreibung

Upwork is seeking a backend-focused software engineer to design, build, and operate scalable cloud-native systems. You’ll work primarily with Java or Kotlin, Spring Boot, AWS, MongoDB Atlas, Aurora MySQL, and GraphQL using Netflix DGS.

Responsibilities include delivering backend work focused on compliance, cost savings, observability, and tooling, while designing reliable systems and collaborating across product, data science, and engineering teams.