Staff Software Engineer

What You’ll Do

• Embed in key initiatives or pods and ship meaningful product features using advanced engineering practices.
• Think product-first by owning outcomes, not just tickets, and ensuring your work delivers real customer impact.
• Design, build, and ship features end-to-end, from problem definition through production.
• Use AI as a core part of your workflow, including writing specs, generating code, critically evaluating outputs, and improving development loops.
• Practice and model augmented coding while maintaining high standards for code quality, testing, system design, and deployment confidence.
• Pair with engineers inside their actual workflows to transfer practices through collaboration, not instruction.
• Drive ambiguous or high-impact problems when the path forward is unclear.
• Make thoughtful technical decisions with incomplete information and adjust when data or production reality points to a better path.
• Contribute across the full stack, including Node, TypeScript, React, SQL, and cloud-native services across AWS and GCP.
• Shape the technical foundation alongside feature work, including service boundaries, data flows, APIs, observability, reliability, and deployment practices.
• Debug complex issues across distributed systems and make architectural decisions that hold up beyond a single feature.
• Own production systems, including observability, reliability, deployments, postmortems, and on-call responsibilities.
• Improve and evolve large, interconnected production codebases with empathy for legacy systems and the teams that maintain them.
• Influence technical direction within your pod and contribute to broader engineering improvements across pods.
• Leave systems, practices, and teams better than you found them.

How Success Will Be Measured

• You deliver high-quality, customer-impacting features from concept through production.
• You drive measurable improvements in team velocity, quality, reliability, AI-native development adoption, or engineering practices.
• You positively influence teams through mentorship, pairing, shared standards, and improved practices that continue after your direct involvement decreases.

What You Should Have

• 10+ years of professional software engineering experience building and shipping products that matter.
• Deep fluency in at least one modern typed web stack. We use Node, TypeScript, React, and SQL; depth of judgment and ability to transfer skills matter more than an exact technology match.
• Strong systems thinking, including architectural judgment across domains, debugging across service boundaries, and sound decision-making under pressure.
• Experience owning services end-to-end, including build, deploy, run, monitoring, observability, on-call support, and postmortems.
• Familiarity with cloud environments such as AWS, GCP, or similar.
• Strong production instincts and experience making decisions that keep systems healthy over time.
• Legacy empathy and a thoughtful approach to modernizing large existing codebases while keeping production systems stable.
• Strong testing standards, including experience establishing or improving testing practices for teams.
• Ability to navigate and improve large, existing codebases quickly.
• Comfort working in ambiguous, fast-moving environments with shifting priorities, loose structure, and multiple hats.
• Strong communication skills, with the ability to translate between engineering depth, product needs, and business context.
• Experience collaborating cross-functionally with Product and Design as true peers.
• A product mindset, starting with the customer problem, challenging assumptions, and connecting technical decisions to business outcomes.
• Significant experience using AI tools to improve development workflows and outcomes, with concrete examples of faster delivery, higher quality, fewer handoffs, or fundamentally different workflows.
• A track record of mentoring, pairing, elevating other engineers, and influencing without authority.

Nice-to-Haves

• You’ll Love This Job If You:
  • Enjoy owning complex problems end-to-end, from customer need through production and team adoption.
  • Thrive in dynamic, growth-stage environments where priorities shift, scope is fluid, and ambiguity is common.
  • Are deeply excited about AI-native development and evolving how software is built.
  • Like working closely with Product and Design as peers, holding customer context and technical context in the same conversation.
  • Take pride in improving systems, practices, and team capability, not just individual features.
  • Prefer shipping, learning, and iterating over waiting for perfect requirements.
  • Enjoy mentoring, pairing, and transferring practices through hands-on collaboration.
  • Want to influence technical direction without relying on formal authority.
  • Find energy in modernizing and improving real production systems while keeping them stable.
  • Like balancing speed with strong engineering standards, architectural judgment, and quality.