Software Engineer
Builds and maintains backend systems (Golang/Python) for Axios’ media platforms, focusing on scalable APIs, database design, and system reliability to support news delivery to millions of readers.
- Compensation
- $130K–$165K / yr
- Location
- Remote
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 2–5+ years in backend or full-stack development, with hands-on experience in Golang and/or Python
- Strong understanding of designing and consuming RESTful APIs
- Familiarity with relational databases (e.g., Postgres, MySQL) and ORMs (e.g., Gin, Django)
- Experience with unit and integration testing in Golang and/or Python
- Awareness of common patterns for scaling backend services and optimizing performance
- Comfort using AI tools like GitHub Copilot or Claude Code in daily workflow
- Excellent communication skills and ability to work cross-functionally in an agile environment
Nice to have
- Experience with cloud infrastructure (AWS, GCP, or similar)
- Experience with gRPC services
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Honeycomb)
- Knowledge of authentication, authorization, and security best practices
- Experience with performance testing or load testing of backend services
Full description
1 big thing: Axios is a growth-focused media company dedicated to helping people get smarter, faster, on what matters. We’re looking for a Full Stack Software Engineer who pairs strong product-engineering fundamentals with modern AI-native development practices to build and scale the systems and experiences that power Axios’ core products.
Why it matters: At Axios, we deliver clear, trustworthy, and informative news to millions of readers every day. As a Full StackSoftware Engineer, you’ll build the interfaces, services, APIs, and data flows behind our audience-facing products and publishing tools.
AI has become a core part of how we build software. You’ll use coding agents and other AI tools throughout the development lifecycle—from understanding problems and exploring solutions through implementation, testing, review, debugging, documentation, and operation. You’ll remain accountable for the architecture, quality, security, and product outcomes of everything you ship.
You’ll work with product managers, designers, and engineers across disciplines to build resilient systems that embody Axios’ commitment to clarity and make our readers smarter.
Responsibilities:
As a Full Stack Software Engineer, you’ll deliver high-quality, reliable product features across Axios’ frontend and backend systems, using modern agentic development practices to accelerate delivery and ensuring performance and stability across our publishing and delivery platforms. Key responsibilities include:
- End-to-end feature development: Own features across the frontend, APIs, business logic, data layer, testing, and production systems. Turn product problems into clear technical plans and reviewable units of work, using AI agents thoughtfully across research, prototyping, implementation, testing, refactoring, and documentation.
- Frontend development: Create accessible, responsive, and maintainable interfaces using JavaScript or TypeScript, React, and modern web frameworks such as Next.js.
- Backend and API development: Build production services and APIs that support Axios’ products and publishing workflows, and create clear contracts that can be understood and used reliably by people, applications, and AI-powered tools.
- AI-enabled product development: Identify opportunities where models, agents, retrieval, or intelligent automation can create meaningful value for readers or internal teams. Build those capabilities with clear user controls, measurable behavior, appropriate guardrails, and an understanding of when conventional software is the better solution.
- Quality and reliability: Write automated tests, improve performance, and contribute to logging, metrics, tracing, security, and operational reliability.