Engineering Manager - DevOps & AI Platform
Leads and develops DevOps and AI Platform teams responsible for reliable, scalable infrastructure and shared AI agent capabilities. The role requires people-management experience, strong cloud and Kubernetes knowledge, and practical curiosity about responsible AI adoption in engineering.
About the job
Responsibilities
- Lead, hire, level, coach, and develop a combined team of approximately 12 DevOps and AI Platform engineers.
- Set the DevOps strategy and operating model across release safety, developer experience, observability, cost management, and platform scalability.
- Lead the AI Platform centre of excellence, including shared agent-building frameworks and patterns, MCP management, evaluation frameworks, and shared AI infrastructure.
- Disseminate reusable AI and agent-building practices to product teams and channel feedback back into the centre of excellence.
- Partner with the AI Platform technical lead and senior engineers on technical direction, delivery, and execution.
- Own infrastructure cost, scalability, and efficiency, applying a FinOps mindset.
- Champion SRE and reliability practices across the business in partnership with the SRE function.
- Support infrastructure and process maturity for ISO 27001 and SOC 2 certifications in partnership with InfoSec.
- Establish AI SDLC practices and enable responsible, effective use of AI in engineering.
Requirements
- Experience managing DevOps, platform, or infrastructure engineers, including hiring and building growing teams.
- Strong infrastructure background spanning cloud, infrastructure as code, CI/CD, and observability.
- Demonstrated curiosity about and practical experience with AI, agents, and evaluation approaches.
- Interest in AI-assisted software development and the adoption, practices, and guardrails required to use it effectively.
- Hands-on Kubernetes experience and sufficient technical literacy to evaluate platform decisions.
- Ability to demonstrate practical, responsible AI use in an engineering context and establish team norms for it.
- Strong people leadership, strategic judgment, and ability to guide senior engineers without needing to be the hands-on technical expert.
Nice-to-haves
- Experience leading or building an internal platform, ML platform, developer experience, or enablement function.
- Exposure to agent frameworks, MCP, or evaluation frameworks.
- Experience working at a scaling company.
- Exposure to ISO 27001 and SOC 2 requirements.
- Experience with high-throughput, low-latency systems in regulated or financial environments.
- Experience in crypto or financial crime prevention.
Compensation and Benefits
- £500 remote-working budget.
- £1,000 learning and development budget.
- 25 days of annual leave plus bank holidays.
- Additional birthday leave.
- Enhanced parental leave, including 16 weeks of fully paid leave for eligible employees.
- Private health insurance.
- Mental health support.
- Life assurance at four times salary.
- Cycle to Work Scheme.
Skills
DevOps, Cloud Infrastructure, Infrastructure As Code, CI/CD, Observability, Kubernetes, SRE, Finops, AI Agents, Mcp, Evaluation Frameworks, Shared Ai Infrastructure, ISO 27001, SOC 2, Infrastructure Security
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