Principal/Architect Software Engineer

Tonal is seeking a Principal/Architect Software Engineer to lead architecture and delivery across its device, app, and cloud systems. The role owns cross-team technical initiatives, remains hands-on with production software, improves shared systems and engineering workflows, and mentors senior technical leaders.

Responsibilities:

• Set 6–12 month technical direction across device, app, and cloud. Turn product priorities into architecture, ownership, and delivery plans
• Lead a few cross-team initiatives from problem definition to launch and adoption. Settle tradeoffs with team leads; flag priority and resource conflicts early
• Write critical-path code, build prototypes, guide migrations, and debug hard production issues. Own how your architecture decisions play out in practice
• Simplify shared systems and interfaces. Improve reliability, observability, security, and developer workflow so teams need less coordination to ship
• Mentor senior and Staff engineers through design, pairing, and shared delivery. Set up lightweight decision practices so teams can act on their own
• Use AI-assisted engineering tools where they improve delivery or quality. Partner with Data Science, AI, and platform owners on production integrations

Requirements:

• You've led architecture and delivery across multiple teams at Senior Staff or Principal scope, with measurable results
• You have deep backend, distributed systems, and cloud expertise and reason well across device, mobile, data, and service boundaries
• You still build and operate production software
• You've owned hard integrations or migrations and made pragmatic tradeoffs between speed, reliability, security, cost, and maintainability
• You turn ambiguity into focused plans and get alignment from technical and nontechnical partners
• You've made other senior engineers stronger technical leaders and can show how your work improved teams beyond your own
• Connected devices, consumer subscriptions, fitness, or digital health
• Healthcare integrations and sensitive-data systems
• AI in production products or engineering workflows, with clear quality, delivery, or cost gains