• Working with Go, C/C++, Lua, or similar languages • Building agent frameworks and orchestration layers • Designing and scaling distributed systems • Implementing new technical directions • Development in partnership with the CTO to shape the platform's core

• Lead a cross-functional engineering team delivering features and enhancements end-to-end, from technical design through to deployment and ongoing support • Provide line management and pastoral care for a small team of engineers, supporting performance, wellbeing, and professional development • Take technical ownership of full-stack applications and services, ensuring solutions are scalable, secure, and maintainable • Drive technical design decisions, review and approve code, and resolve complex technical issues • Champion engineering best practices, including automated testing across functional, acceptance, performance, and security domains • Design and develop cloud-deployable services, continuously improving application architecture and infrastructure • Build, maintain, and improve CI/CD pipelines to support reliable and automated deployments • Collaborate closely with product, platform, and operations teams to ensure systems are observable, resilient, and operationally sound • Contribute to planning, estimation, scheduling, and resourcing to support predictable delivery • Communicate technical designs, risks, and progress clearly to senior stakeholders and non-technical audiences • Promote a strong engineering culture focused on quality, collaboration, and continuous improvement • Mentor engineers, support knowledge sharing, and contribute to recruitment and onboarding • Maintain clear and appropriate technical documentation to support long-term maintainability

• design, build, and operate high-impact features across the frontend and backend of Echosystem. • contribute as a mentor and collaborator across teams • manage application environments with infrastructure engineers

• Design, develop, and optimize high-performance, scalable data platforms, with a strong focus on streaming data processing, large data volumes, and cloud infrastructure • Implement and maintain infrastructure automation and self-service using Terraform, ensuring reliable and repeatable environments for both development and production, and creating robust CI/CD pipelines • Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases • Design and build frameworks and abstractions to accelerate the development of data pipelines while embedding data engineering best practices • Establish and maintain observability, security, and data governance solutions to ensure high quality and reliability of data pipelines