Director of Platform Engineering (AI)

Location: London, UK; hybrid working with typically 2 days per week in the office

Company

hirify.global develops automated IT observability solutions for critical and regulated industries, including financial institutions, through an Analytics SaaS platform.

What you will do

• Lead the day-to-day management, reliability, and continuous improvement of the Analytics SaaS platform.
• Provide hands-on technical leadership for platform and SaaS engineering teams, including coaching, standards, and accountability for service outcomes.
• Work directly on Kubernetes troubleshooting, production incidents, deployment automation, observability, capacity management, and service resilience.
• Reduce operational toil through workflow automation, self-service tooling, standardized runbooks, and self-healing capabilities.
• Explore Agentic AI and intelligent automation for incident triage, runbook execution, knowledge retrieval, change preparation, and service management.
• Lead the Forward Deployed Engineering function and coordinate with Engineering, Product, Security, and customer-facing teams.

Requirements

• Experience leading SaaS Hosting or operational teams in a hands-on technical leadership role, ideally in a high-availability, enterprise, or regulated environment.
• Deep practical Kubernetes operations knowledge, including deployments, upgrades, networking, storage, ingress, secrets, autoscaling, and cluster reliability.
• Strong cloud operations experience with AWS, Azure, or GCP, plus Infrastructure as Code, CI/CD, GitOps, or similar automation approaches.
• Experience improving reliability and reducing operational toil through automation, workflow redesign, self-service capabilities, runbooks, and observability.
• Understanding of secure and auditable Agentic AI or intelligent automation, SaaS security, access control, change management, vulnerability management, and operational resilience.
• Experience leading or closely supporting Forward Deployed Engineering, Solutions Engineering, Customer Engineering, or similar customer-embedded teams.

Nice to have

• Experience with managed Kubernetes services such as Amazon EKS, Azure AKS, or Google GKE.
• Knowledge of GitOps tools such as Argo CD or Flux.
• Experience with ISO 27001, SOC 2, SRE practices, service-level objectives, capacity planning, or production readiness reviews.
• Experience applying AI, AIOps, or intelligent automation to incident triage, anomaly detection, runbook automation, or root-cause support.
• Background in financial services, enterprise technology, DevOps, SRE, Cloud Operations, or Platform Engineering.

Culture & Benefits

• Flexible hybrid working in an inclusive and supportive environment.
• Health and dental insurance for employees and dependants.
• Pension, life assurance, income protection, travel insurance, and enhanced parental leave.
• Employee Assistance Programme, training reimbursement, referral bonus, and buy-and-sell holiday options.
• Work supporting critical technology used by global customers in demanding and regulated industries.