Senior Backend Engineer - Scalable, Event-Driven Systems

Xwing

San Carlos (CA)

On-site

USD 141,000 - 218,000

Full time

14 days+
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Benefits offered by this job

RSUs
401(k) plan with company match
Employee stock purchase plan (ESPP)

Job summary

Joby seeks a Senior Software Engineer (Backend) to design scalable Python services powering manufacturing and operations. You will connect business logic, data, and hardware across a全球 distributed team, building robust APIs and event-driven data pipelines.

You will mentor peers, drive architectural decisions, and collaborate across time zones to deliver reliable, scalable solutions in a fast-moving environment.

Qualifications

  • 5+ years of software engineering experience building and operating production systems.
  • Advanced Python development for scalable backend services.
  • Experience with Docker and containerized workflows.
  • Strong RESTful API design and system architecture knowledge.
  • Experience with event-driven architectures (Kafka).
  • Proven debugging, testing, and observability practices.
  • Clear cross-disciplinary collaboration and communication.

Responsibilities

  • Design and build scalable backend services and APIs powering manufacturing workflows.
  • Architect event-driven data pipelines connecting internal services and hardware.
  • Own end-to-end delivery from requirements to deployment and monitoring.
  • Lead technical design discussions and mentor engineers.
  • Collaborate across time zones with hardware, manufacturing, and operations teams.

Skills

Python
Docker
REST APIs
Kafka
Debugging
Communication

Education

BS or MS in CS/EE

Tools

PostgreSQL
MongoDB
GraphQL
CI/CD (GitHub)
Terraform

Job description

Joby seeks a Senior Software Engineer (Backend) to design scalable Python services powering manufacturing and operations. You will connect business logic, data, and hardware across a全球 distributed team, building robust APIs and event-driven data pipelines.

You will mentor peers, drive architectural decisions, and collaborate across time zones to deliver reliable, scalable solutions in a fast-moving environment.

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