SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy.
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YOUR MISSIONThe Teamhead Cloud Native Engineering leads a team of 4 engineers and reports directly to the Head of Cloud Native Platforms in Herzogenaurach. This role carries full responsibility for the team’s cloud engineering output, direction, and quality.
A Cloud Engineer designs, implements, and manages cloud landing zones to ensure they are scalable, reliable, and secure. They work with cloud service providers like Google Cloud or Microsoft Azure to deploy and optimize cloud resources
Key Responsibilities & Scope of Ownership:
Lead the design and implementation of complex cloud solutions on Azure and GCP following the architectural framework.
Oversee and optimize the deployment and management of applications on our global cloud platforms.
Manage and enhance the security, reliability, and cost-effectiveness of cloud infrastructure.
Continuously monitor and strategically optimize resources for peak performance.
Develop and enforce advanced security measures to safeguard data and applications.
Design and implement automation strategies using tools like Terraform or Ansible.
Diagnose and resolve complex issues in the cloud environment efficiently.
Evaluate and oversee the impact of changes on existing cloud solutions and guiding team members through complex modifications.
Create documentation of technical concepts that enhance team understanding and support strategic decision-making.
Lead collaboration efforts with cross-functional teams to ensure seamless cloud integration.
Mentor junior team members.
Key Requirements:
Several years of experience in cloud engineering, with proven hands-on expertise in Google Cloud Platform (GCP) and/or Microsoft Azure.
Strong understanding of cloud-native architecture principles including containerisation (Kubernetes, Docker) and microservices.
Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible for automated provisioning and configuration management.
Solid knowledge of cloud security best practices, identity and access management, and data protection standards.
Experience with CI/CD pipelines and DevOps practices for continuous delivery and automated testing.
Strong monitoring and observability skills using tools such as Azure Monitor, Google Cloud Operations, Grafana, or equivalent.
Ability to lead and mentor a team of engineers, fostering a culture of ownership, quality, and continuous improvement.
Excellent communication skills and ability to document complex technical concepts clearly for diverse audiences.
Deep knowledge of Microsoft CAF / Google FAST / Landing zone principles
Key Technologies:
Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure
Infrastructure as Code: Terraform, Ansible
Containerisation & Orchestration: Kubernetes, Docker
CI/CD: GitHub Actions, Jenkins
Monitoring & Observability: Azure Monitor, Google Cloud Operations
Security: Azure Security Center, IAM, encryption, compliance frameworks
Networking & Storage: VNet, VPC, load balancing, blob/object storage, managed databases
Scripting & Automation: Python, Bash, PowerShell
Leadership Expectations:
At PUMA, engineering leaders are expected to shape strategy, build capability, and create an environment where teams can deliver exceptional outcomes at speed and scale. Successful leaders combine technical excellence and people leadership while embodying the mindset and behaviours that define PUMA’s culture.
Strategic Thinking & Vision
Translate ambitious business goals into clear, executable technology strategies and roadmaps.
Demonstrate the courage to challenge conventional thinking and advocate for innovative solutions that create long-term value.
Operate effectively in ambiguity, providing clarity, direction, and confidence for teams and stakeholders.
Balance immediate business priorities with long-term scalability, sustainability, and consumer impact.
Ability to define and drive OKRs
Ownership & Accountability
Take end-to-end ownership of outcomes, driving execution with determination and a relentless focus on results.
Set high standards for quality, reliability, and operational excellence while fostering a culture of accountability.
Navigate setbacks and changing priorities with resilience, maintaining momentum through complexity and uncertainty.
Make difficult decisions when required and stand behind them with conviction and integrity.
People & Team Leadership
Build, grow, and retain diverse, high-performing teams that can deliver effectively at scale.
Foster a culture of open, two-way feeback (upwards and downwards)
Create a culture of trust, inclusion, collaboration, and mutual respect where people can do their best work.
Support learning, growth, and ongoing development while giving teams the autonomy and accountability to succeed.
Recognise achievements, celebrate success, and nurture a culture where strong performance and enjoyment coexist.
Collaboration & Stakeholder Management
Develop strong partnerships across Product, Design, Data, Marketing, Operations, and Business teams to deliver shared outcomes.
Influence stakeholders at all levels through credibility, openness, and clear communication.
Show confidence in decisions while staying receptive to challenge, feedback, and different viewpoints.
Lead with a team-first approach, removing silos and encouraging collaboration across functions and regions.
Innovation & Continuous Learning
Promote modern engineering practices, AI-native ways of working, and a mindset of experimentation.
Encourage curiosity, continuous learning, and thoughtful risk-taking to uncover new opportunities for consumers and the business.
Make room for innovation while maintaining discipline in execution and delivery.
Continuously elevate engineering excellence, operational maturity, and the consumer experience.
Commercial & Consumer Mindset
Understand how technology decisions influence consumer experience and business results.
Make decisions that strike the right balance between innovation, speed, quality, and commercial value.
Keep a strong consumer-first perspective, ensuring technology investments deliver meaningful value.
Apply sound judgment and confidence when turning business priorities into engineering outcomes.
Building PUMA's Future
Serve as a visible culture champion and role model as PUMA continues to grow its Global Tech Engineering organisation.
Embrace the chance to build teams, capabilities, and ways of working from the ground up.
Lead with energy, optimism, and purpose, inspiring others around a shared vision and ambitious goals.
Build an environment where bold thinking, determination, collaboration, and enjoyment are all part of achieving success.
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.
Skills Required
- Several years of hands-on cloud engineering experience with Google Cloud Platform (GCP) and/or Microsoft Azure
- Strong understanding of cloud-native architecture principles including containerisation (Kubernetes, Docker) and microservices
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible
- Solid knowledge of cloud security best practices, identity and access management (IAM), and data protection standards
- Experience with CI/CD pipelines and DevOps practices (e.g., GitHub Actions, Jenkins) for continuous delivery and automated testing
- Strong monitoring and observability skills using tools such as Azure Monitor, Google Cloud Operations, Grafana, or equivalent
- Ability to lead and mentor a team of engineers, fostering ownership, quality, and continuous improvement
- Excellent communication skills and ability to document complex technical concepts clearly for diverse audiences
- Deep knowledge of Microsoft CAF, Google FAST, and cloud landing zone principles
- Scripting and automation skills: Python, Bash, PowerShell
What We Do
At PUMA, we are in constant pursuit of faster. That extends beyond our support of the fastest athletes in the world. We also work to be fast in how we adapt to and connect with the constantly changing world around us. Through innovative design, iconic footwear and apparel, and authentic partnerships, we aim to always push what’s next in both sport and culture. That hustler’s spirit can be felt across PUMA categories, partnerships, offices, and countries. And we are always in search of talent that can help us set the pace at which sport and culture collide, as well as finding better ways to connect and collaborate with our communities. PUMA supports over 14,000 employees across 120+ countries. The PUMA Group owns the brand PUMA, Cobra Golf and stichd, and is headquartered in Herzogenaurach, Germany.
