About the role

Senior Developer at Jane driving integrative technology for clinical domains. Leading API design and mentoring developers while fostering platform-thinking with a focus on AI.

Responsibilities

Drive the technical direction for how third-party developers and partners integrate with Jane, starting within the Clinical domain - establishing patterns that are secure, scalable, and built to last.
Design and implement APIs and data contracts that power extensibility across the product, ensuring that what we build today becomes the foundation others can confidently build on tomorrow.
Mentor developers and champion architectural best practices, helping the team move from shipping features to building platform-ready systems that unlock new possibilities across Jane.
Collaborate closely with PMs, designers, and cross-functional teams to ensure our extensibility work stays grounded in real practitioner needs and genuinely improves developer experience.
Help shepherd Jane's transition toward platform thinking - contributing to reusable systems and data models while modelling the behaviours we value most: systems thinking, a bias to action, and a deep sense of ownership.

A university degree in Computer Science or a related STEM field, plus approximately 5+ years of experience. Those with a Master's or PhD may be considered with less experience. Candidates with 8+ years of industry experience through non-traditional paths - including bootcamps or self-teaching - are equally encouraged to apply.
Significant depth at the senior level with demonstrated ability in leading technical design, architecture, and delivering medium to high-complexity projects or services, paired with a strong understanding of software development methodologies.
Experience coaching and mentoring junior and intermediate developers, with a track record of fostering a culture of continuous improvement and knowledge sharing.
A proactive approach to identifying and addressing technical challenges, with a commitment to scalable, maintainable solutions and a genuine care for code quality, test coverage, and strong development workflows.
Adaptability to learn new technologies and contribute across domains beyond your own expertise, alongside a deep sense of ownership and accountability for the quality and success of what your team ships.
Champion AI adoption within the team by introducing relevant context engineering patterns, and documenting repeatable practices.