Software Engineer, Axios

• The ideal candidate is a thoughtful engineer who cares about reliability, scalability, and writing clean, maintainable code. You should have:
• Experience: 2–5+ years in backend or full-stack development, with hands-on experience in Golang and/or Python
• API expertise: Strong understanding of designing and consuming RESTful APIs
• Databases: Familiarity with relational databases (e.g., Postgres, MySQL) and ORMs (e.g., Gin, Django)
• Testing: Experience with unit and integration testing in Golang and/or Python, and a mindset of embedding quality into development
• Performance & scalability: Awareness of common patterns for scaling backend services and optimizing performance
• AI tooling: Comfort using tools like GitHub Copilot or Claude Clode as part of your day-to-day workflow
• Collaboration: Excellent communication skills and the ability to work cross-functionally in an agile environment

Desirable

• Why it matters: At Axios, we deliver news that’s clinical, trustworthy, and informative — reaching millions of readers every day
• As a Software Engineer, you’ll help power the services, APIs, and data flows that make our audience-facing products fast, reliable, and scalable
• You’ll work closely with product managers, designers, and engineers across disciplines to build resilient systems that embody Axios’ commitment to clarity and make our readers smarter
• As a Software Engineer, you’ll develop high-quality, reliable services in a Golang and Python codebase, ensuring performance and stability across Axios’ publishing and delivery platforms. Key responsibilities include:
• API development: Design, implement, and maintain scalable REST APIs to power Axios products
• Service reliability: Build and optimize backend services using Golang and Python, ensuring they are resilient, performant, and maintainable
• Data modeling: Design and evolve database schemas and performant queries to support new features and business requirements
• Collaboration: Work closely with front-end engineers, quality engineers, designers, and product managers to deliver end-to-end features
• Testing & quality: Write unit, integration, and end-to-end tests; contribute to Axios’ quality efforts by ensuring backend systems are covered with automated tests
• Performance & observability: Monitor system health, contribute to our logging/metrics implementation, and proactively improve performance and scalability
• AI fluency: Leverage AI tools such as GitHub Copilot, Claude Code, or other assistants to accelerate development, improve code quality, and explore creative solutions
• Continuous improvement: Participate in code reviews, propose improvements to architecture and practices, and stay up to date with evolving backend technologies
• What success looks like:
• Reliable systems: You build services that are stable, scalable, and meet the needs of Axios’ products and readers
• Quality code: You write clean, maintainable, and well-tested code that reduces defects and simplifies future development
• Collaboration: You work closely with teammates across front-end, product, and QE to deliver features efficiently and effectively
• AI-driven efficiency: You integrate AI tools into your workflow to accelerate development, improve code quality, and continuously learn
• Performance focus: You monitor and improve backend performance, ensuring services are fast and resilient
• Continuous growth: You sharpen your skills, share knowledge with teammates, and contribute to improving Axios’ engineering practices