Senior Engineering Manager(Site Reliability Engineering) – DTC Platform

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About the Organisation & Role:

You will be part of the DTC Platform Engineering organisation responsible for delivering the shared platforms, engineering services, and foundations that enable product teams to build, test, deploy, and operate software securely and reliably at scale. Product engineering teams are the primary customers of the organisation. Through capabilities such as cloud platforms, developer experience, software delivery, quality engineering, security engineering, performance engineering, and AI-native engineering enablement, the organisation helps accelerate software delivery, improve engineering productivity, and establish consistent engineering standards across the technology landscape

As the Senior Engineering Manager(SRE), you will lead teams responsible for Site Reliability Engineering, Platform Operations, DevOps enablement and operational readiness across the DTC technology landscape. You will drive reliability, scalability, cloud governance and operational excellence. The role requires strong engineering leadership, organisational leadership and people leadership to establish a reliability-first culture while driving automation, observability, cloud optimisation and operational maturity across the DTC technology landscape.

WHAT YOU WILL DO:

SRE Strategy and Reliability Engineering

• Define and execute the SRE strategy, operating model and roadmap in line with DTC and Platform Engineering priorities.
• Establish and govern service level indicators (SLIs), service level objectives (SLOs), error budgets and reliability standards for critical consumer journeys and platform services.
• Drive reliability-by-design across architecture, development, testing, release and operations, ensuring operational requirements are addressed early in the delivery lifecycle.
• Use reliability, availability, latency, capacity and incident data to prioritize technical debt and reduce operational risks.
• Define and track reliability and incident metrics including availability, error budget consumption, incident volume, Mean Time to Detect (MTTD), Mean Time to Restore (MTTR) and change failure rates. 
• Enable engineering teams with tooling, observability, automation and best practices that improve service reliability, release confidence and system stability.

Operational Excellence and Incident Management

• Lead the engineering response for critical incidents, providing technical leadership, service diagnosis, recovery coordination and decision support to accelerate restoration of services.
• Drive blameless post-incident reviews, Root Cause Analysis (RCA), corrective actions and long-term remediation plans in partnership with engineering and service owners.
• Reduce recurring incidents and operational toil through automation, self-healing capabilities, platform improvements.
• Partner with Operations and Service Management teams to continuously improve incident response effectiveness, escalation processes, operational readiness and service resilience.

Observability, Resilience and Peak Readiness

• Drive a consistent observability strategy across metrics, logs, traces, dashboards and alerting, with a focus on actionable signals and early detection.
• Lead capacity planning, performance engineering, failure-mode analysis, disaster recovery and resilience testing for critical services and customer journeys.
• Own operational readiness for campaigns, product launches and seasonal peaks, ensuring risks, dependencies, capacity and recovery plans are understood and tested.
• Improve deployment safety through automated quality gates, progressive delivery, rollback and recovery capabilities, and strong change governance.
• Ensure business continuity and disaster recovery plans are documented, tested and improved based on outcomes.

Cloud and Platform Operations

• Provide leadership for the reliability and operational governance of Google Cloud Platform services and shared DTC infrastructure.
• Drive infrastructure automation, standardization and repeatability using Infrastructure as Code and GitOps practices.
• Partner with Architecture, Security and Platform Engineering to improve cloud reliability, scalability, security, compliance and cost efficiency.
• Establish guardrails for environments, access, configuration, service lifecycle management and operational controls.
• Promote sustainable cloud usage and FinOps practices while balancing availability, performance, resilience and cost.

People and Engineering Leadership

• Build, lead and develop a high-performing SRE organisation with clear accountability, sustainable ways of working and a strong service ownership mindset.
• Coach engineering managers, SRE leads and engineers through regular feedback, career development, succession planning and technical leadership.
• Own workforce planning, hiring, onboarding, capability development for the SRE function.
• Establish a healthy on-call culture that balances service needs with team sustainability and continuous improvement.

• 12+ years of experience across Site Reliability Engineering, Platform Engineering, Cloud Engineering, DevOps or technology operations, including people leadership responsibility.
• Proven experience leading SRE or production engineering teams supporting high-traffic, business-critical digital platforms in a 24x7 environment.
• Strong track record of defining SRE strategy and implementing SLIs, SLOs, error budgets, production readiness and service ownership practices at organisational scale.
• Demonstrated experience leading major incidents, executive communication, root cause analysis and systematic reduction of operational risk and recurring failure.
• Strong knowledge of Google Cloud Platform and cloud-native architecture, including compute, networking, identity and access management, databases and managed platform services.
• Experience with Cloud Run, Kubernetes or equivalent container and serverless platforms.
• Experience with modern observability platforms and practices across metrics, logging, distributed tracing, alerting and service health dashboards.
• Experience with Infrastructure as Code and automation using Terraform, GitOps or equivalent approaches.
• Experience with CI/CD, deployment safety, capacity planning, performance engineering, resilience testing and disaster recovery.
• Strong people leadership, stakeholder management and communication skills, including the ability to influence across engineering, product, security and business teams.
• Experience in global DTC, retail, omnichannel commerce or high-volume consumer digital environment preferred.
• Experience with FinOps, cloud cost governance and budget management.
• Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex,

gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at

PUMA and we do not tolerate any form of harassment or discrimination.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal

opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000

employees worldwide.