• Define and drive the technical strategy for machine learning infrastructure capabilities • Design a highly resilient, secure, observable, scalable, and cost-effective infrastructure • Build and evolve APIs, tools, workflows, and self-service features

• Design and implement the scalable, secure, cloud-native infrastructure framework supporting WHDH’s data platform. • Develop and maintain automated, elastic environments capable of ingesting, harmonizing, storing, and delivering massive structured and unstructured health datasets. • Build and manage secure, automated CI/CD pipelines for data engineering workflows, application code, and infrastructure deployments. • Establish best practices for DevSecOps, including automated vulnerability scanning, secret management, and compliance-as-code.

• Contribute along with product and platform teams to build and deliver solutions that improve our cloud service, infrastructure, and tools. • Solve infrastructure problems with a software-driven, cloud first approach and a keen eye towards quality, testability, and repeatability. • Engage with teams directly to implement product roadmaps and objectives with a focus on service delivery and reliability. • Contribute to the development of best practices and engineering standards within the team. • Help Identify and drive down toil with creative innovation and automation. • Build and deliver elegant and high-quality software with a knack for testing. • This position will require stand-by, on-call, or off-hours duties.

• Define and maintain SLOs, SLIs, and error budgets, plus the observability—metrics, logs, traces and alerts—that catches regressions before users do. • Build repeatable, self-service infrastructure through infrastructure-as-code, CI/CD and golden paths so teams can provision, deploy and recover without reinventing the wheel. • Own rollouts end-to-end—progressive delivery, canaries, safe migrations and clean rollbacks. • Operate the systems behind Somnia's nodes, validators, RPC and indexing, tuning for performance and cost across regions. • Lead incident response and on-call, run blameless postmortems, and continuously harden the platform. • Partner with product and protocol teams to design and operate production-ready services. You'll rotate between embedding with engineering teams and building the shared platform, tooling and operational standards that underpin the wider organisation.