Staff Software Engineer, Axios

• The ideal candidate is a staff-level engineer with sustained multi-team impact, deep expertise in a relevant domain, broad systems thinking, and a commitment to user experience, reliability, scalability, maintainable code, and effective AI-enabled practice. You should have:
• Experience: Typically 7+ years in professional software development, or equivalent sustained Staff-level impact, including leading complex initiatives across multiple teams or systems
• AI-native development: Hands-on experience using agentic coding tools—such as Claude Code, Codex, Cursor, GitHub Copilot, or comparable tools—to complete meaningful, multi-step software work, rather than only generating snippets or using autocomplete
• Agent direction and context: Ability to write clear strategies, specifications, and acceptance criteria; provide context; scope complex work; decide what to delegate; and redirect incomplete or incorrect approaches
• Verification and engineering judgment: Ability to review AI-generated code critically, validate assumptions, identify security, scalability, and maintainability risks, and catch plausible but wrong solutions. You understand that AI raises the importance of sound architecture, testing, and human judgment
• Frontend development: Hands-on experience building production interfaces with JavaScript or TypeScript and React, preferably with Next.js, plus judgment to guide frontend architecture across teams
• Backend development: Hands-on experience building production services and APIs. Our backend systems use Go and Python, and you should be able to shape reliable service boundaries and work effectively in or learn either language
• Data fundamentals: Experience with relational databases, SQL, schema design, transactions, and migrations
• Quality and security: Experience with testing, accessibility, input validation, authentication, authorization, and web security practices, plus the ability to raise standards across teams
• Engineering judgment: Ability to operate independently in ambiguity, identify high-leverage problems, align teams, make sound tradeoffs, and connect decisions to product and business goals—including when AI is not the right tool
• Communication: Ability to build alignment through clear proposals and reasoning, communicate risks and tradeoffs across functions, and drive clarity during disagreement
• Continuous learning: Curiosity about changing models, tools, and practices, paired with an evidence-based approach. You share useful patterns, identify what fails, and make others more effective

Desirable

• As a Staff Software Engineer, you’ll lead reliable product and platform work across Axios’ frontend and backend systems. You’ll remain hands-on while driving multi-quarter initiatives, improving technical coherence, and using agentic practices to accelerate delivery. Key responsibilities include:
• Cross-team technical leadership: Lead mission-critical or high-risk initiatives spanning teams and connected systems. Frame problems, align ownership and dependencies, make tradeoffs explicit, and drive production adoption
• Architecture and design: Own architecture for a product area and scalable boundaries across frontend, APIs, data, and production systems. Lead design reviews and establish standards within your sphere of influence
• Hands-on system ownership: Own the technical direction and long-term evolution of key systems while writing and reviewing code, prototyping, debugging, leading migrations, and operating services in production
• AI-enabled product and engineering: Identify where models, agents, retrieval, or automation create value. Build reusable capabilities with measurable behavior, guardrails, and judgment about when conventional software is better
• Quality, reliability, and incident leadership: Improve testing, performance, observability, security, and operational readiness. Anticipate systemic risks, address technical debt, and help lead resolution and learning during critical production issues
• Technical leadership and mentorship: Mentor mid- and senior-level engineers across teams, spread systems thinking and design patterns, and build alignment through proposals, reviews, and influence without authority
• Product and technical strategy: Partner with product, design, and engineering leaders to shape the product-area roadmap, align dependencies, and connect technical investment to reader, editorial, and business outcomes
• What success looks like:
• Cross-team delivery: You drive multi-quarter initiatives from problem framing through production adoption, aligning dependencies and ownership to produce durable outcomes
• Engineering leverage: Teams deliver more effectively because of the standards, tools, architecture, documentation, and context you create. You establish safe, repeatable AI patterns where they add value
• System health: Key systems become more reliable, scalable, secure, observable, and easier to change. You reduce systemic risk and improve incident prevention and response
• Product-area impact: Your decisions support Axios’ readers, products, editorial workflows, and business goals within the teams and systems you influence
• Organizational technical leadership: Engineers across teams make better decisions through your mentorship, proposals, reviews, and example. You remain a hands-on IC who multiplies others’ effectiveness