Principle Engineer - Field Mobile Platform

Posted 09 June 2026
LocationWindsor
Job type Contract
Discipline Technology

Job description

Responsibility:

  • Provide technical leadership and architectural direction to evolve and scale the Field Mobile Platform

  • Define and own mobile platform architecture, standards, patterns, and guardrails across mobile apps, APIs, integration layers, and platform services

  • Lead consolidation and simplification of the mobile application estate to reduce duplication, technical debt, and operational complexity

  • Partner with Product, Architecture, Supply Chain, Scheduling, and Field Operations to ensure consistent data models, integration patterns, UX principles, and mobile standards

  • Shape and deliver new mobile capabilities that improve safety, compliance, customer experience, and field productivity

  • Champion engineering excellence including clean architecture, CI/CD automation, testing strategies, observability, release processes, performance optimisation, and secure-by-design practices

  • Ensure platform reliability, resilience, and strong offline capability in challenging field environments

  • Continuously improve ways of working through automation and AI-enabled tooling, while retaining human accountability for technical decisions


Requirement:

  • Strong technical leadership and architectural expertise in complex, enterprise-scale mobile and digital platforms

  • Deep understanding of mobile application architecture, backend APIs, microservices, and integration patterns

  • Proven experience defining and influencing engineering standards, coding practices, and architectural guardrails across multiple teams

  • Strong knowledge of CI/CD pipelines, automated testing, observability, telemetry, and performance profilings

  • Experience designing reliable, resilient, and offline-capable mobile solutions

  • Ability to solve complex, ambiguous, cross-domain technical problems

  • Working knowledge of AI-enabled engineering practices, including use of automation, telemetry, and AI-assisted diagnostic