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Backend Software Engineer - Cloud APIs & Device Management

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Xona Space Systems
Full Time position
Listed on 2026-05-29
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Requirements

  • 3–5 years of professional software engineering experience
  • ,
  • Strong proficiency in Python (e.g., FastAPI, Flask, or Django) and C++
  • ,
  • Experience designing and building backend services and production APIs
  • ,
  • Hands-on experience with AWS services such as Lambda, EKS, Dynamo

    DB, and RDS
  • ,
  • Solid understanding of Kubernetes and containerized microservice architectures
  • ,
  • Experience working with both SQL and No

    SQL databases
  • ,
  • Strong problem-solving skills and the ability to work effectively in a fast-paced environment
  • ,
  • (Desirable) Experience building device management, IoT, or distributed systems handling device state, configuration, and firmware updates
  • ,
  • (Desirable) Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CDK
  • ,
  • (Desirable) Frontend familiarity (React or Vue.js) to support effective collaboration on user portal integration
  • ,
  • (Desirable) Knowledge of Identity and Access Management (IAM) and authentication platforms such as Auth0 or Amazon Cognito
  • ,
  • (Desirable) Experience with observability, monitoring, and container security tools (e.g., Prometheus, Grafana)
What the job involves
  • We're seeking a Backend Software Engineer to design and implement scalable backend services and APIs (REST and gRPC) that power user-facing portals and device management dashboards
  • ,
  • Build and maintain device management systems for provisioning, tracking, commanding, and monitoring remote user devices and payload assets
  • ,
  • Develop internal operations software and automated workflows, including real-time telemetry visualization and health monitoring
  • ,
  • Deploy, operate, and scale cloud-native microservices in AWS using Kubernetes, ensuring reliable integration between web-based user portals and backend data stores
  • ,
  • Implement hybrid software solutions using Python for rapid API and cloud-service development, and C++ for high-performance data processing and interface layers
  • ,
  • Collaborate cross-functionally with product, frontend, and operations teams to deliver reliable, secure, and maintainable systems
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