• Work as part of an experienced team focused on our core software: especially computation and storages • Improve and further develop the provisioning and components behind our entire cloud stack • Focus especially on our Compute stack - including VM provisioning, CPU, and GPU • Enhance and upgrade our internal integrations and collaborate with our other development teams • Participate in building our next level of cloud offering, like improved storages and compute plans

• Own the Feature Discovery phase for new work within your domain. • Produce high-quality Discovery outputs, including specifications, technical assessments, and risk registers that development teams can execute against without follow-up. • Architect scalable, reliable, and maintainable systems that provide a strong foundation for future development. • Drive technical decision-making and maintain the technical health of your domain. • Identify technical debt and create prioritised plans for continuous improvement. • Proactively manage risks and dependencies across features and initiatives. • Translate technical trade-offs and recommendations for Product, Design, and other non-technical stakeholders. • Ensure teams consistently have well-scoped, well-estimated, development-ready work. • Own technical delivery and Discovery activities within a defined domain. • Mentor Junior and Mid-level Engineers, supporting their growth through structured guidance and feedback. • Participate in hiring activities and evaluate engineering talent against established standards. • Set and maintain standards for AI tool usage within Discovery and development workflows. • Contribute to a culture of engineering excellence, collaboration, and continuous improvement.

• Define and drive the company's technical strategy, architectural principles, and engineering standards. • Own the Opportunity Review process, providing feasibility assessments and architectural guidance for major initiatives before Discovery. • Make platform-level decisions across infrastructure, data, security, integrations, and build-vs-buy evaluations. • Lead and deliver high-impact engineering initiatives, including foundational services, platform architecture, and proof-of-concepts. • Ensure the overall technical health, scalability, and long-term evolution of the platform. • Partner with Product, Sales, Customer Success, and leadership teams to align technical direction with business objectives. • Champion engineering excellence through quality standards, best practices, and continuous improvement. • Define and drive AI strategy across engineering workflows and product capabilities. • Mentor and develop Lead Engineers, helping strengthen technical leadership across the organisation. • Support engineering hiring, talent development, and promotion standards.

• Architect and build full-stack systems spanning modern frontend frameworks (React / TypeScript), distributed backend services (Python, Go, Node.js), cloud-native infrastructure (Azure, AWS, GCP), and API layers (REST, GraphQL, gRPC). • Own end-to-end technical design for platform capabilities including workflow engines, multi-tenant SaaS services, event-driven pipelines, and operator-facing applications. • Identify patentable inventions arising from platform architecture - including novel data flow patterns, system interaction models, and process automation methods - and document them rigorously. • Author invention disclosures, support prior art research, and collaborate with in-house and outside patent counsel through application drafting and prosecution. • Establish and enforce engineering standards: code quality, system observability, security posture, CI/CD practices, and API design conventions across the engineering organization. • Lead cross-functional technical reviews, align with product and data science teams on integration points, and translate business requirements into scalable system designs. • Drive build-vs-buy-vs-partner decisions for platform components; evaluate third-party technologies against long-term IP and architectural strategy. • Deliver systems meeting enterprise SLA requirements: high availability, disaster recovery, role-based access control, audit logging, and regulatory compliance. • Lead the architectural evolution from siloed applications to a decentralized, federated service model - designing unified API gateway and access layers that allow cross-system queries and interoperability without requiring monolithic data consolidation; establish patterns for progressive decomposition of legacy silo systems into composable, independently deployable platform services.