Matillion - Staff Software Engineer
Requirements
• Proficient in Java (core priority for this role) with a solid grounding in object-oriented design, distributed systems and best practices such as testability, observability, scalability and security; working React knowledge in a full-stack capacity. • Experience across the full software development lifecycle via CI/CD tooling and agile methodologies (Kanban/Scrum), with hands-on experience in at least one major cloud platform (AWS, GCP or Azure). • Proven experience integrating with multiple third-party or marketplace platforms; billing or usage-based/credit-consumption experience is a bonus, not essential. • A clear bias for action, leading initiatives and mentoring others, with the autonomy to solve problems independently and the inquisitiveness to dig into root causes rather than just symptoms. • A proactive, self-sufficient technical leader with integrity and a growth mindset, comfortable representing the team cross-functionally and staying calm under pressure during incidents.
Responsibilities
• Acting as technical lead for the Billing team, guiding and unblocking two junior engineers, two mid-level engineers and one QA engineer, and leading design reviews to set technology direction. • Owning integrations with third-party billing and marketplace platforms, with significant hands-on time across production services from design through to deployment and ongoing support. • Reviewing code and guiding the team to Matillion's engineering standards with a Product, Quality, DevOps and Security mindset, while translating sprint requirements from the Engineering Manager and Product Manager into clear technical direction. • Becoming the subject matter expert in the billing domain and architecture, supporting triage and incident response, participating in out-of-hours on-call, and proactively engaging customer-facing colleagues to avoid exposing customers to issues. • Mentoring team members, fostering a culture that aligns engineering and product strategy, and contributing to cross-team work such as ML capability development with Data Science for Maia.
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