Site Reliability Engineering Manager (Azure/AI)

Location: Stone, Staffordshire, United Kingdom; hybrid working with 2 days per week in the Stone office

Company

hirify.global provides SaaS solutions and consultancy services for pharmaceutical companies, CROs, government agencies, and academic institutions, supporting drug discovery and research programmes.

What you will do

• Define and execute the SRE vision, strategy, roadmap, platform-wide SLOs, SLIs, and error budgets.
• Lead and scale the global SRE organisation through mentoring, coaching, hiring, succession planning, and career development.
• Oversee incident management, major-incident escalation, post-incident reviews, observability, automation, and MTTR improvement; participate in the on-call rota.
• Guide reliability, scalability, performance, CI/CD, Infrastructure as Code, telemetry, monitoring, and alerting decisions while remaining hands-on with code and automation.
• Lead the reliability workstream for the migration from Rackspace to Azure, including cutover readiness, rollback, disaster recovery, security, cost optimisation, and Rackspace decommissioning.
• Apply AI and large language model tools to incident triage, diagnostics, runbooks, change management, coding, and post-incident reviews with appropriate security, privacy, quality, and human-oversight controls.

Requirements

• Senior-level leadership experience managing SRE, platform engineering, or infrastructure teams, with a proven record of mentoring engineers while remaining hands-on.
• Extensive hybrid-cloud experience, deep Azure expertise, and experience leading migrations from hosted platforms such as Rackspace to Azure.
• Experience building and operating cloud-native Azure applications using containers, microservices, and managed PaaS services, with reliability engineered from the outset.
• Deep expertise in observability platforms such as Datadog, telemetry pipelines, incident tooling, CI/CD, automation, and Infrastructure as Code such as Terraform and Ansible.
• Advanced scripting or software engineering proficiency.
• Hands-on experience applying AI and large language model tools such as Claude or OpenAI Codex to SRE and operational workflows.
• Understanding of AI risks and controls in regulated environments, including data privacy, security, and human-in-the-loop oversight.
• Demonstrated success leading large-scale incident response and reliability programmes; working knowledge of ITSM platforms such as Ivanti and regulated operations.
• Excellent communication and senior-stakeholder influencing skills, plus a bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
• Strong understanding of Quality Management Systems in service operations.

Culture & Benefits

• Permanent position with flexible working in a friendly, solutions-focused global business.
• Private medical cover with optical and dental options, matching contributory pension, life insurance, and an Employee Assistance Program.
• 25 days of annual leave plus public holidays, with a buy-and-sell leave scheme.
• Development opportunities, Benefits Hub access, referral scheme, and a culture focused on ownership, psychological safety, and continuous improvement.
• Equal-opportunity employment environment.

Hiring process

• Apply through the vacancy; the Talent team will contact selected applicants.