Tech Stack
AWSCloudDistributed SystemsGoogle Cloud PlatformKubernetes
About the role
- Define and execute the long-term platform, networking, and site reliability engineering vision and roadmap
- Build, lead, and mentor globally distributed platform engineering teams
- Instil a DevOps culture of ownership, automation, and continuous improvement
- Oversee cloud infrastructure (AWS & GCP), Kubernetes platforms, and global networking
- Drive automation-first practices, including infrastructure-as-code, GitOps, and immutable deployments
- Establish and monitor SLOs, SLIs, and SLAs to ensure reliability and performance
- Lead incident management, blameless postmortems, and resilience engineering initiatives
- Own FinOps and cloud operations, ensuring platforms are cost-efficient and financially accountable
- Partner with Finance and Product to forecast cloud spend and optimise resource usage
- Own the end-to-end CI/CD ecosystem, provide self-service pipelines, test automation, and deployment tooling
- Embed security and compliance checks into CI/CD and partner with Security Engineering on zero-trust, IAM, TLS, secrets, and certificate automation
- Ensure platform services and pipelines are compliant with PCI DSS, GDPR, and local regulations
- Lead global networking strategy to ensure secure, resilient, low-latency connectivity with automation and observability
- Collaborate with product and business leaders and represent the platform function with external partners, regulators, and customers
Requirements
- Minimum 10 years of proven experience leading platform, SRE, or DevOps functions at scale in mission-critical environments
- Deep expertise in cloud-native architectures (AWS, GCP)
- Strong experience with Kubernetes, CI/CD, networking, and distributed systems
- Track record of driving automation with infrastructure-as-code, GitOps, and observability platforms
- Strong SRE mindset, with experience applying SLIs, SLOs, error budgets, and resilience engineering
- Security-first approach, with experience embedding compliance into automated pipelines
- Strong leadership skills, with a record of building high-performing, distributed engineering teams, preferably in a global or remote-first context
- Payments knowledge is a plus but not essential