Lead Software Engineer

About the Company

If you're excited about driving measurable impact and contributing to a mission that truly matters, we’d love to connect. Join a collaborative, experiment-driven team where your insights, creativity, and product thinking help unlock meaningful growth for our customers and the business.

About the Role

Technical Leadership, Quality & Impact. Architect, design, and deliver large-scale, high-performance features across the stack. Drive system-level design and data modeling, ensuring scalable, reliable, and maintainable solutions aligned with organizational best practices.

Responsibilities

• Think expansively about AI—how to build with it, integrate it into features, and leverage it to drive innovation.
• Own technical projects end-to-end, ensuring efficient delivery, optimal performance, extensibility, and reliability.
• Lead and contribute operational engineering strategies, including test automation observability and modern CI/CD practices.
• Collaborate on cloud architecture decisions to deliver resilient, cost-effective, and secure solutions.
• Deliver high-quality, production-ready code that adheres to coding and operational best practices, accounts for edge cases, and is self-documenting for maintainability.
• Lead efforts to reduce technical debt and optimize system performance through continuous refactoring and advanced debugging practices.
• Drive improvements in system reliability, scalability, and performance, leveraging monitoring and observability tools to proactively identify bottlenecks and issues.
• Champion a culture of learning by facilitating design discussions, providing constructive feedback, and fostering collaboration across teams.

Collaboration, Innovation & Mentorship

• Partner with product managers, designers, and cross-functional stakeholders to align technical efforts with business objectives and customer needs.
• Mentor engineers across skill levels, providing guidance in software patterns, architecture, DevOps, and problem-solving techniques to foster technical growth.
• Communicate complex technical topics clearly to both technical and non-technical audiences, ensuring alignment and shared understanding across teams.
• Promote knowledge sharing through technical documentation, share-outs, and peer collaboration to elevate team capabilities.
• Actively explore how AI can improve developer efficiency, automate workflows, and enhance system reliability.
• Explore and advocate for cutting-edge tools and technologies, incorporating them into the engineering stack when appropriate to advance capabilities.
• Lead initiatives to drive innovation and continuously improve engineering processes, challenging the status quo to deliver greater value.
• Contribute to system-wide architectural discussions to ensure alignment with strategic goals and future scalability.

Qualifications

• You are a technical leader, proficient in TypeScript, React, Next.js, and Node.js, with a strong foundation in system design and cloud-native development.
• You have a problem-solving mindset, tackling system-wide challenges with strategic thinking and a focus on high-impact solutions.
• You see AI not as a tool but as a fundamental shift in engineering, and you actively seek opportunities to harness its potential.
• You thrive in fast-moving, high-performance environments, navigating ambiguity, aligning stakeholders, and delivering results.
• You are a mentor and collaborator, fostering team growth through thoughtful guidance, clear communication, and constructive feedback.
• You are passionate about writing maintainable, testable code, ensuring software quality through modern DevOps and observability best practices.

Required Skills

• Proficiency in TypeScript, React, Next.js, and Node.js.
• Strong foundation in system design and cloud-native development.
• Problem-solving mindset with strategic thinking.
• Experience in mentoring and collaboration.
• Passion for writing maintainable, testable code.

Preferred Skills

• Experience with AI integration in engineering processes.
• Familiarity with modern DevOps and observability best practices.
• Knowledge of cloud architecture and CI/CD practices.