Lead Software Engineer

LifeLoop is an AI-native engineering organization seeking a Lead Software Engineer to serve as its most senior individual contributor. The role leads development of complex platform products, advances AI-driven development workflows, sets engineering quality and technical standards, coaches engineers, and shapes the platform’s technical direction.

Responsibilities:

• Lead development of the most complex products and features on the LifeLoop platform
• Identify and drive adoption of emerging AI tools and workflows that improve how the team builds software
• Serve as a technical coach to both engineering leads and junior engineers — helping the team level up technically and in their use of AI-assisted development
• Contribute to the engineering playbook and continuously evolve how the team works
• Operate with a pragmatic coaching style — hands-on, not just advisory
• Set and uphold engineering quality standards across the codebase
• Collaborate with product and leadership to shape the technical direction of the platform
• Drive spec-driven development practices and ensure technical specifications are clear, complete, and actionable

Requirements:

• Deep expertise across modern full-stack environments, including MERN, Java Spring Boot, cloud platforms such as AWS and/or Azure, and distributed systems
• Proven track record of leading complex technical initiatives from design through delivery
• Advanced proficiency in coding, unit testing, and technical design at scale — code should be trusted to scale, with known tipping points at time of authorship
• Expert-level functional and technical design skills — ability to define technical specifications for work of high complexity and lead the architectural direction of the most complex strategic initiatives
• Strong ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
• Demonstrated leadership in coaching and mentoring engineering teams without direct management authority
• Experience pioneering new engineering standards based on modern best practices and communicating them to the broader team
• Ability to lead change and champion new ways of working, including AI-driven development practices
• Results-oriented mindset — leads across projects, lending expertise, guidance, and picking up work to ensure broad team objectives are met
• Strong collaboration skills — able to form teams and organize efforts ensuring project assignments are equitable and efficient
• Deep commitment to spec-driven development, pragmatic execution, and continuous improvement