xelys jobs xelys jobs

Backend engineer: Go Lang

sedbox

full-remotemidpermanentbackend United States Yesterday via LinkedIn

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

GoREST APIsMicroservicesKubernetesDockerSQLNoSQLFirebaseAWSAgile

About the role

Role Overview

Backend Engineer (Go Lang) for Sedbox’s R&D team. You’ll build and deliver backend services that support intelligent technology projects, working in a fast-paced, agile environment.

Responsibilities

  • Design, develop, and maintain RESTful APIs
  • Develop backend services using Go and clean, well-documented code
  • Build and test solutions before publishing (including writing and running tests)
  • Operate comfortably in a Linux environment
  • Use Git for version control and collaboration
  • Work independently to complete tasks and articulate design choices
  • Develop and deploy services using microservices architecture
  • Work with containerized workloads and Kubernetes-based deployments
  • Create or use test automation

Requirements

  • Strong software development fundamentals and principles
  • Experience with Go
  • Database experience with SQL or NoSQL (or Firebase)
  • Working knowledge of Git
  • Comfortable operating in Linux
  • Ability to write clean code, document bugs, and test before publishing
  • Ability to explain design decisions
  • Experience building and testing in an Agile delivery process

Nice to Have

  • Experience with JavaScript, Python, Java, or C/C++
  • Familiarity with other back/frontend frameworks and UX development
  • Knowledge of Google Cloud or AWS
  • Big data certifications
  • Experience with ML/NLP tools or solutions

Hiring Location

  • Remote (United States)

About sedbox

Sedbox is a technology consulting company focused on helping customers run intelligent and successful cyber, AI, embedded, and application development operations. It builds teams of talented engineers and operators to tackle challenging technical problems for clients, emphasizing excellence and mission success. Its R&D team applies analytics, robotics, and cognitive technologies to derive insights from large datasets.

Scraped 7/27/2026