Senior Staff Software Engineer

Team: Software Development

Location: Hyderabad

Workplace Type: hybrid

Role 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