Staff Backend Engineer - Python/Java, Remote, Global Scale

RemoFirst

Town of Poland (NY)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Fully remote role
Global impact
High ownership and autonomy
Competitive compensation

Job summary

RemoFirst is seeking a Staff Back-End Engineer to own and evolve our Python and Java backend in a fully remote, globally distributed environment. You’ll partner with product, design, and operations to build reliable, scalable services and drive architectural decisions.

You will mentor engineers, champion TDD and CI/CD, and help transition parts of our monolith to modern microservices while maintaining strong customer focus and performance at scale.

Qualifications

  • 8+ years backend development experience.
  • Strong Python experience (Django/FastAPI/Flask).
  • Strong Java experience, preferably Spring Boot.
  • Experience designing RESTful APIs and relational databases.
  • Familiarity with unit/integration testing and TDD.

Responsibilities

  • Design, develop, and maintain backend services using Java/Python stack.
  • Collaborate with Product, Design, Operations to deliver reliable products.
  • Architect pragmatic, scalable solutions and migrate from monoliths to microservices.
  • Lead engineering practices: TDD, CI/CD, SRE culture, API-first design.
  • Mentor junior engineers and lead code reviews.

Skills

Python
Java
REST APIs
Django/FastAPI/Flask
PostgreSQL
MySQL
Kafka
Spring Boot
CI/CD
Microservices
AWS
Testing
TDD
Git
English

Tools

Spring Boot
PostgreSQL
Kafka
Git
Docker
Kubernetes
AWS

Job description

RemoFirst is seeking a Staff Back-End Engineer to own and evolve our Python and Java backend in a fully remote, globally distributed environment. You’ll partner with product, design, and operations to build reliable, scalable services and drive architectural decisions.

You will mentor engineers, champion TDD and CI/CD, and help transition parts of our monolith to modern microservices while maintaining strong customer focus and performance at scale.

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