Senior Staff Software Engineer
Matillion • INRole Purpose
At Matillion, we are moving beyond traditional data processing to define the future of the AI Data Automation Platform. Our mission is to make data "AI-ready" at the speed of thought, centred around Maia — our autonomous AI data engineering foundation.
The Senior Staff Engineer is a high-leverage technical leader responsible for driving architectural and engineering excellence across our Hub and Billing ecosystem. The Hub is where Maia Foundation's user management, roles, permissions, authorisation is harnessed, visualised, and controlled. This role is the technical authority also responsible for ensuring our Billing stack is as sophisticated and performant as the AI it commands.
This role partners with the Senior Staff community to lead organisational "big bets" — including the evolution of our Billing System, the evolution of our roles and permissions model, and ensuring our platform performs at a global scale. It sits at the intersection of technical craft, product vision, and organisational influence.
What will you be doing?
Design and Architecture
Lead the Hub and Billing architectural vision for Matillion's Maia foundation platform, defining scalable patterns, standards, and practices across multiple product squads
Partner with Product and Engineering leadership to translate high-level technical roadmaps into Hub and Billing features the help with Maia foundation platform's evolution
Define and evolve the architecture, ensuring modularity, scalability, and consistency across independently deployed product surfaces
Own the Hub and Billing features — driving customer adoption, contribution to standards, and long-term evolution to ensure consistency at scale
Lead technical design reviews, prototype emerging frontend patterns, and validate architectural proposals before full-scale development
Codebase Ownership
Hold final say on architectural decisions that balance innovation velocity with long-term maintainability
Identify and prioritise refactoring targets that will deliver the greatest efficiency and quality gains across the codebase
Ensure all third-party libraries are appropriately licensed, maintained, and fit for purpose
Define and maintain frontend observability practices — using monitoring data as a foundation for proactive stability improvements
Development
Champion an agentic development culture — actively integrating AI tools into daily engineering workflows and setting the standard for others to follow
Stay ahead of the rapidly evolving GenAI landscape, evaluating new tools, models, and approaches and feeding insights back into the team's ways of working
Build modular, reusable frontend components designed to be shared across Matillion's product range
Collaborate with Data Science and Product teams to ensure AI-driven features are surfaced through interfaces that are intuitive, performant, and reliable
Technical Mentorship
Develop engineering capability across squads through coaching, delegation, and structured feedback
Encourage technical curiosity and participation in architectural discussions at all levels
Advise on both on-the-job and external development opportunities
Model and embed Matillion's engineering values through everyday actions and behaviours
What are we looking for
Technical/Role Specific
Expert-level proficiency in Java frameworks like springboot, with deep understanding of component architecture, state management concepts, event-driven architectures, test strategies and performance optimisation at scale
Deep knowledge developing and ensuring frontend security
Proficient with agile methodologies, driving efficient and rapid delivery to production
Proven ability to lead the design and delivery of significant frontend projects within a SaaS product environment
Strong experience designing frontend systems that are modular, testable, and capable of supporting complex, AI-driven user workflows
Deep proficiency in agentic development — an established workflow where AI agents are integrated into daily engineering practice to multiply output and quality
Experience leading cross-team strategic efforts and influencing organisational decisions to achieve alignment on major technical goals
Proficiency in diagnosing issues across related domains and fostering a culture where teams use monitoring data as a basis for stability improvements
Essential
Proven track record of managing complex Java codebases at scale
Experience with observability tooling and cross-domain debugging
Solid understanding of the cloud data landscape (Snowflake, Databricks, etc.) and how users interact with data automation platforms
Personal Capabilities
Strategic thinker — able to zoom out to the organisational level while remaining hands-on when needed
Collaborative relationship builder — builds strong relationships with engineers, managers, and product counterparts
Agentic-first mindset — actively champions AI tool adoption and sets the standard for others
Economically minded — makes trade-off decisions that balance long-term maintainability with delivery velocity