Shape Masabi’s platform architecture, including platform blueprint definition, standards and best practices
Design and deliver scalable, robust, cost efficient services aligned with platform blueprint
Stay hands-on in code and technical delivery, including reviews and targeted contributions
Identify and work through complex platform challenges related to scalability, performance, resilience and cost
Act as a senior technical advisor across engineering teams, supporting and influencing technical decisions and ensuring Masabi standards are followed
Shape and contribute to technical roadmap planning and prioritisation of platform improvements
Support RFP estimation and technical scoping for complex initiatives
Produce clear, high-quality technical documentation and architecture artefacts
Improve how architecture is understood and applied across engineering and the wider business
Contribute to and help shape technical forums and working groups, including areas such as API and architecture governance

You bring strong experience designing and evolving distributed systems and microservices architectures
You’ve operated at Principal or Staff level, shaping technical direction across multiple teams or domains
You are comfortable staying hands-on, contributing in code, design and delivery when needed
You have strong experience with cloud platforms (AWS preferred) and modern infrastructure practices
You’ve worked on systems where scale, reliability, performance and cost trade-offs matter, and can navigate those decisions thoughtfully
You have proven experience in data architecture (e.g. data platforms, pipelines, warehousing or data lakes)
You can take loosely defined (early stage) business or technical problems and turn them into clear, actionable technical approaches
You communicate complex ideas clearly and effectively, and produce structured documentation that helps both technical and non-technical audiences make decisions
You’ve contributed to engineering standards, architecture patterns or platform direction
Interest in or exposure to AI-enabled systems, particularly understanding architectural implications in production

Principal Engineer

Key skills