Paddle

Systems Engineer

• Lead initiatives to automate operational processes, reducing manual effort and increasing reliability with a focus on scalability and security
• Partner with IT and InfoSec leadership to design, implement, and optimise integrations across business-critical IT and security systems
• Champion compliance with industry best practices and security standards, including CIS Benchmarks, and proactively identify areas for improvement
• Support GRC initiatives on control implementation, audit evidence gathering and unlocking efficiency improvements through automation
• Collaborate with stakeholders to deliver projects aligned with the Enterprise Technology roadmap, ensuring measurable impact and timely delivery
• Contribute to the secure configuration and monitoring of AWS cloud infrastructure and work with the Platform team to ensure security initiatives are delivered at scale
• Develop and maintain internal documentation and knowledge bases to ensure consistent, high-quality support and operational excellence
• Mentor and support other engineers across InfoSec, IT and the wider Engineering function, fostering continuous improvement and knowledge sharing
• Act as a technical leader at the intersection of infrastructure, security, and automation to empower Paddle’s global teams

Staff Systems Engineer

Data Scientist

• Identify and drive new strategic opportunities such as pricing, support automation, and KYB automation through advanced ML models and analytics.
• Design comprehensive systems including data capture, operational processes, experimentation frameworks, and feedback mechanisms.
• Lead end-to-end model development and deployment processes, leveraging classical ML methods and LLM based methods based on agentic AI.
• Collaborate across teams to ensure seamless integration and productionization of solutions that significantly impact business performance.
• Conduct rigorous experimentation, testing, and validation to optimize model performance and ensure alignment with business objectives.
• Act as a mentor and technical leader, advocating for best practices in model development and deployment.
• Continuously monitor and iterate on models in production, maintaining high standards for accuracy and performance.
• Partner with business units to help evaluate AI solutions and to build systems which generate business impact.
• Design, develop, and deploy machine learning models into production, ensuring scalability, reliability, and maintainability.

Staff Data Scientist

Frontend Engineer

• Deliver experiences used by thousands of Paddle customers
• Fine tune and future proof existing applications
• Work with colleagues across product and engineering to ensure a cohesive customer-facing developer experience
• Develop new functionality to empower product teams and support customers in pricing, billing and growth
• Help design a stable platform to support phenomenal growth
• Mentor and coach other engineers
• Work with AWS products (CloudFront, S3, etc.) to ensure performant and reliable service
• Drive front-end best practices and long-term engineering decisions
• Help shape team and wider engineering culture to keep Paddle an exceptional place to work

Staff Systems Engineer

Staff Data Scientist

Senior Frontend Engineer – Billing