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Axios

Software Engineer

Remote (Remote)$130k–$165kmidAdded 1 month ago

About this role

Axios seeks a backend-focused Software Engineer to build and scale the reliable APIs and services powering its news delivery platform. You'll work with Golang and Python in a remote role, collaborating across teams to ensure fast, resilient systems that serve millions of readers daily.

What you'll do

  • Design and maintain scalable REST APIs for Axios products
  • Build and optimize backend services in Golang and Python for performance and reliability
  • Design database schemas and queries to support new features
  • Write unit, integration, and end-to-end tests with comprehensive coverage
  • Monitor system health and improve performance through logging and metrics
  • Collaborate with front-end engineers, designers, and product managers on end-to-end features

What they're looking for

  • Backend or full-stack development (2–5+ years)
  • Golang and/or Python proficiency
  • RESTful API design and consumption
  • Relational databases (Postgres, MySQL) and ORMs
  • Unit and integration testing practices
  • Backend scaling patterns and performance optimization
  • AI tools (GitHub Copilot, Claude Code)
  • Cross-functional collaboration in agile environments

Benefits

  • Remote work flexibility
  • Competitive salary range of $130,000–$165,000
  • Work on products reaching millions of daily readers
  • Opportunity to use modern AI development tools
  • Collaborative environment with designers, product, and QE teams
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Axios

Axios builds a news delivery platform powered by reliable APIs and services that serve millions of readers daily. The company is hiring backend software engineers and analytics engineers to scale its infrastructure and transform data into actionable business insights.

View all jobs at Axios

Likely interview questions

  • Walk us through a backend service you built in Golang or Python. How did you approach API design, and what trade-offs did you consider for scalability?
  • Tell us about a time you optimized a slow database query or backend service. What was your debugging process, and how did you measure the improvement?
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