Remote Backend Engineer (Kotlin/Python) — Data & Streams

United States Digital Space LLC

United States

Remote

USD 93,000 - 129,000

Full time

3 days ago
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Benefits offered by this job

100% health coverage
Monthly tech stipends
Flexible time off
ESPP stock purchase

Job summary

United States Digital Space LLC is seeking a backend software engineer to design, develop, and deploy scalable systems using Python or Kotlin. The role emphasizes ownership, collaboration across product and analytics teams, and contributing to a strong engineering culture.

The position is remote within Canada with a transparent pay structure and comprehensive benefits. You will work with AWS, Kafka, Flink, and Kubernetes in a distributed data environment.

Qualifications

  • 1.5+ years of software engineering experience.
  • Backend design and deployment experience, Python or Kotlin proficiency.
  • Experience with AWS, Kafka, Flink, and Kubernetes.
  • Ability to translate a simple problem into multi-component solutions with well-tested, extensible code.
  • Comfort navigating a large codebase and providing thoughtful code reviews.

Responsibilities

  • Break down projects into tasks and deliver in phases.
  • Collaborate with product, design, and analytics during ideation and trade-offs.
  • Support operations and on-call efforts with metrics monitoring.
  • Participate in interview process and team growth.

Skills

Backend development
Python or Kotlin
Distributed systems
Code reviews
Ownership & growth
Communication

Education

Bachelor's degree or equivalent

Tools

AWS
Kafka
Flink
Kubernetes

Job description

United States Digital Space LLC is seeking a backend software engineer to design, develop, and deploy scalable systems using Python or Kotlin. The role emphasizes ownership, collaboration across product and analytics teams, and contributing to a strong engineering culture.

The position is remote within Canada with a transparent pay structure and comprehensive benefits. You will work with AWS, Kafka, Flink, and Kubernetes in a distributed data environment.

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