Role Description We are looking for a Senior Cloud Platform Engineer to join our small, capable engineering team. This is a senior position within our DevOps function, with the scope to shape how we build, deploy, and operate the platforms that thousands of organisations rely on every day. - Today, our infrastructure runs on Microsoft Azure, with GitHub Enterprise for source control and CI/CD (migrating to GitHub Actions). - Bicep + PowerShell for infrastructure as code. - GitHub Copilot embedded across the engineering workflow. - Future goals include more containerised workloads, stronger observability, security baked deeper into our pipelines, and a developer experience that allows the rest of engineering to ship safely without waiting on us. Because we are small, you will have an unusually broad remit: - Own significant parts of our infrastructure end-to-end. - Work directly with developers and senior leadership. - Have a real say in technical direction. Qualifications - Several years of senior-level experience building and operating production cloud infrastructure (Azure preferred; AWS or GCP experience transfers well). - Deep, practical experience with infrastructure as code — Bicep, Terraform or similar. - Solid scripting skills — PowerShell, Bash, Python, or Go. - Real experience designing and running CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, or similar). - Experience with a modern observability stack — Prometheus, Grafana, OpenTelemetry, Datadog, New Relic, or similar. - A strong grasp of networking, identity, and security fundamentals in a cloud environment. - Comfortable working in a small, fully-remote team — clear written communication, good judgement on when to ask, and a bias toward fixing things. Requirements - Experience running containerised workloads in production (Kubernetes / AKS, Docker, Helm, or similar). - DevSecOps experience: container scanning, secret management (e.g. Vault, Key Vault), policy-as-code (OPA), supply-chain security. - Coding experience/understanding a codebase, building or contributing to internal developer platforms, golden paths, or self-service tooling. - FinOps awareness — designing for cost as well as for performance. - Experience with GitOps workflows (Argo CD, Flux), or hands-on experience using AI coding assistants and agentic workflows (GitHub Copilot, Claude, Cursor, or similar) to accelerate infrastructure and platform work. - Microsoft certifications (AZ-104, AZ-400, AZ-305 etc) or equivalent. Benefits - Guaranteed £2,000 pay rise every year you're with us, separate from any merit or promotion increases. - 26 days holiday plus public holidays, with the option to swap public holidays for days that are more meaningful to you. - Your birthday and work anniversary day off, every year. - Up to 4 weeks per year working from anywhere in the world. - Genuinely flexible, fully remote working — we trust you to manage your own time. - Generous Becoming a Parent leave, designed to support every kind of family. - Medical scheme including remote GP, dental, optical, and diagnostics. - Access to Support Room — confidential counselling, therapy, and coaching. - Help@Hand employee assistance programme. - 5x salary life insurance through Unum. - High standard of equipment to do your best work from home. - Up to 10% pension match. - Annual learning and development budget.

Role Description We are looking for a Salesforce Marketing Cloud Consultant to design, implement, and optimize marketing automation solutions using Salesforce Marketing Cloud (SFMC). The role requires a blend of business consulting, campaign strategy, and technical expertise to deliver scalable, data-driven customer engagement solutions. Qualifications - Experience with Salesforce Marketing Cloud (SFMC) - Strong business consulting skills - Proficiency in campaign strategy development - Technical expertise in marketing automation solutions Requirements - Ability to deliver scalable, data-driven customer engagement solutions - Blend of business consulting and technical skills Benefits - Inclusive workplace culture - Opportunities for personal and professional growth - Commitment to well-being and individuality

• Design, operate, and continuously improve production-grade K8s clusters at the platform level. • Lead complex cluster lifecycle management, including: Version upgrades and dependency coordination Failure recovery and incident resolution Non-trivial maintenance and system evolution • Build and maintain highly reliable, scalable, multi-tenant infrastructure. • Build and maintain end-to-end observability for LLM-based systems using Grafana, LangFuse, and LangSmith — covering performance, latency, token usage, and alerting. • Architect and operate shared infrastructure across multiple teams and use cases. • Implement and enforce RBAC and access control models, Tenant isolation and security boundaries, Resource management and fairness at scale. • Ensure platform stability under diverse and competing workloads. • Operate and optimize vector database systems (Weaviate preferred) in production environments. • Support and scale Retrieval-Augmented Generation (RAG) systems. • Drive improvements in Query performance and latency, Cluster tuning and resource efficiency, Operational stability of retrieval pipelines. • Take technical ownership of production systems over time. • Build and maintain strong practices in Observability (metrics, logs, tracing), Incident response and root cause analysis, Long-term system health and resilience. • Proactively identify and resolve reliability risks. • Work closely with backend and GenAI engineers to ensure seamless integration with the platform.

• Support and maintain cloud infrastructure, applications, and platform services across AWS and Azure • Monitor platform health, performance, and reliability while troubleshooting infrastructure and deployment issues • Design, build, and maintain scalable Terraform infrastructure using Infrastructure as Code best practices • Develop reusable Terraform modules and deployment patterns for multi-environment and multi-account architectures • Build, support, and improve CI/CD pipelines and automated deployment workflows • Collaborate with development teams to support deployments, troubleshoot release issues, and improve operational processes • Partner with senior engineers on cloud architecture, scalability, resiliency, and modernization initiatives • Support cloud security standards, governance, backup/recovery, and disaster recovery initiatives • Improve reliability and operational efficiency through automation, monitoring, observability, and cost optimization • Participate in incident response, root cause analysis, and continuous improvement efforts • Create and maintain technical documentation, operational runbooks, and knowledge base articles • Work within issue and project tracking systems to document work and support collaboration • Participate in a shared on-call rotation