Senior Engineering Manager(Site Reliability Engineering) – DTC Platform

Description

The DTC Platform Engineering group provides shared platforms, engineering services and foundations so product teams can build, test, ship and run software securely and reliably at scale.

Product engineering teams are its main customers. Its areas include cloud platforms, developer experience, software delivery, quality, security, performance and AI-native enablement.

This senior manager role leads SRE, platform operations, DevOps enablement and operational readiness across the DTC technology landscape, with a focus on reliability, scalability, cloud governance and operational excellence.

The company is a global sports brand making footwear, apparel and accessories. It operates in 120+ countries and has around 22,000 employees.

Responsibilities

• Set the SRE strategy, operating model and roadmap to match DTC and Platform Engineering goals.
• Create and run SLIs, SLOs, error budgets and reliability standards for key customer journeys and platform services.
• Build reliability into architecture, development, testing, release and operations early in delivery.
• Use reliability, latency, capacity and incident data to rank technical debt and cut operational risk.
• Track availability, error budget use, incident volume, MTTD, MTTR and change failure rate.
• Give engineering teams tooling, observability, automation and practices that raise reliability and release confidence.
• Lead the technical response to critical incidents, including diagnosis, recovery coordination and decisions that restore service faster.
• Run blameless post-incident reviews, RCAs, corrective actions and long-term fixes with engineering and service owners.
• Cut repeat incidents and operational toil through automation, self-healing and platform improvements.
• Work with Operations and Service Management to sharpen incident response, escalation, operational readiness and resilience.
• Set a consistent observability approach across metrics, logs, traces, dashboards and alerts, focused on actionable signals and early detection.
• Lead capacity planning, performance engineering, failure-mode analysis, disaster recovery and resilience testing for critical services and journeys.
• Own readiness for campaigns, launches and seasonal peaks, so risks, dependencies, capacity and recovery plans are understood and tested.
• Make deployments safer with automated quality gates, progressive delivery, rollback and recovery, and firm change governance.
• Keep business continuity and disaster recovery plans documented, tested and updated from results.
• Lead reliability and operational governance for Google Cloud Platform and shared DTC infrastructure.
• Drive automation, standardisation and repeatability with Infrastructure as Code and GitOps.
• Work with Architecture, Security and Platform Engineering to improve cloud reliability, scalability, security, compliance and cost.
• Set guardrails for environments, access, configuration, service lifecycle and operational controls.
• Encourage sustainable cloud use and FinOps, balancing availability, performance, resilience and cost.
• Build and lead a high-performing SRE organisation with clear ownership, sustainable ways of working and a service ownership mindset.
• Coach engineering managers, SRE leads and engineers through feedback, career development, succession planning and technical leadership.
• Own workforce planning, hiring, onboarding and capability building for SRE.
• Build a healthy on-call culture that balances service needs with team sustainability.

Requirements

• 12+ years across SRE, platform engineering, cloud engineering, DevOps or technology operations, including people leadership.
• Proven experience leading SRE or production engineering teams for high-traffic, business-critical digital platforms running 24x7.
• A solid record of setting SRE strategy and rolling out SLIs, SLOs, error budgets, production readiness and service ownership across an organisation.
• Experience leading major incidents, briefing executives, running RCAs and systematically cutting operational risk and repeat failures.
• Strong knowledge of Google Cloud Platform and cloud-native design: compute, networking, identity and access management, databases and managed services.
• Experience with Cloud Run, Kubernetes or equivalent container and serverless platforms.
• Experience with modern observability tools and practices: metrics, logging, distributed tracing, alerting and service health dashboards.
• Experience with Infrastructure as Code and automation using Terraform, GitOps or equivalent.
• Experience with CI/CD, deployment safety, capacity planning, performance engineering, resilience testing and disaster recovery.
• Strong people leadership, stakeholder management and communication, with the ability to influence engineering, product, security and business teams.
• Experience with FinOps, cloud cost governance and budget management.
• Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.
• Preferred: experience in global DTC, retail, omnichannel commerce or high-volume consumer digital environments.

Conditions

Equal opportunity applies to all applicants; people make every hiring decision, with AI used only for isolated tasks such as scheduling.