2 of 2 Cloud Run Jobs in the South East

regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience … Pulumi Containerization & Orchestration: Docker, Kubernetes (GKE/AKS) Networking & Isolation: VPCs, private endpoints, firewall rules, network policies Data Sandboxing: Synthetic datasets, masking, DLP tooling Monitoring & Observability: Prometheus, Grafana, Cloud Logging More ❯

reusable components aligned with enterprise design systems. Integrate front-end applications with REST/GraphQL APIs, WebSockets, and backend services. Collaborate closely with AI engineers, backend developers, and cloud architects to deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practises and regular code reviews. Deploy applications to GCP (Firebase, Cloud Run) and Azure App Services using CI/CD pipelines hardened for security and compliance. Participate in code reviews, technical design discussions, and architecture planning sessions. Required Skills & Experience: Proven experience building secure, production-grade front-end applications in regulated environments (e.g., finance, healthcare, government). Strong proficiency in modern JavaScript/TypeScript frameworks (React, Next.js … MUI, Tailwind). Exposure to secure SDLC practises, cyber risk assessments, and security posture reporting. Comfortable working in agile, cross-functional teams with product managers, AI engineers, and cloud architects. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want More ❯