• Responsible for producing conceptual-level specifications, proposing architectural and software quality standards in an agile manner in consultation with agile teams and in collaboration with the client. • Propose technological updates and ensure the adoption and evolution of established standards. • Understand client requirements and design tailored architectures to meet those needs. • Create detailed plans that consider security, scalability, availability, and performance. • Ensure that the project scope, context, and constraints are documented and agreed upon. • Facilitate stakeholder decision-making by providing information and aligning it with overall objectives. • Define and document the system’s structure and design. • Define and document strategies, patterns, guides, and other artefacts to guide system construction. • Ensure the architecture addresses the system’s quality attributes. • Develop the architectural description. • Provide technical leadership. • Remain involved throughout the entire development process.

• With a passion for Conversational AI, develop a scalable multi-tenant platform • Engage with customers to understand their needs and deliver outstanding solutions • Plan, implement, and operate software independently in close collaboration with our AI team • Test new features and ensure the platform's quality assurance

• Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. • Assess agent trajectories and model capabilities for code generation and debugging requests. • Prompt models to complete complex coding tasks and review the accuracy of generated responses. • Label, proofread, and improve machine-written and human-written software engineering-related outputs. • Report quality and performance trends related to model/agent behaviour and project assignments.

• Defining and owning DigitalOcean's reference architectures for next-generation Data Center environments • Serving as a primary technical stakeholder for MEP systems • Provide leadership and guidance in new site selection process • Architecting end-to-end cooling designs • Architecting end-to-end power topologies • Leading proof-of-concept initiatives for infrastructure technologies • Guiding leadership on implications of non-traditional data center facilities • Mentoring engineers and contributing to technical excellence