We are seeking an experienced Senior DevOps Engineer to design, build, and optimise modern cloud-native platforms and infrastructure. This role is ideal for a professional with strong expertise in AWS, Kubernetes, Infrastructure as Code, and CI/CD automation, who is passionate about platform reliability, observability, security, and scalable engineering practices. The successful candidate will contribute to resilient, automated environments that support digital products and services while driving operational excellence through modern DevOps methodologies.

What you ll do

• Design, implement, and maintain cloud infrastructure within AWS environments.
• Automate infrastructure provisioning and management using Terraform, with Terragrunt experience considered beneficial.
• Build, optimise, and support Kubernetes-based platforms and containerised applications.
• Implement and manage GitOps deployment practices using ArgoCD.
• Develop, maintain, and enhance CI/CD pipelines using GitHub Actions.
• Administer Linux-based environments, ensuring stability, performance, and effective troubleshooting.
• Apply cloud security best practices, including IAM, networking, and access management controls.
• Enhance platform observability through monitoring, logging, tracing, and reliability engineering practices.
• Work with tools such as Loki, Tempo, Prometheus, Grafana, and OpenTelemetry to improve operational insights and system performance.
• Collaborate with cross-functional teams to support platform scalability, reliability, and continuous improvement initiatives.
• Contribute to the adoption of modern engineering and automation practices across the technology landscape.

Who you are

• Strong experience with AWS cloud platforms and infrastructure automation.
• Hands-on experience with Kubernetes, containerised applications, and GitOps-based deployments using ArgoCD.
• Solid expertise in Infrastructure as Code using Terraform; experience with Terragrunt is advantageous.
• Proven experience building and maintaining CI/CD pipelines with GitHub Actions.
• Strong Linux administration, troubleshooting, and systems management skills.
• Good understanding of cloud security principles, IAM, networking, and access management.
• Experience with observability, monitoring, logging, and platform reliability practices, including Loki, Tempo, Prometheus, Grafana, and OpenTelemetry.
• Familiarity with Microsoft Azure is beneficial.
• Exposure to Airflow or Data Engineering environments is advantageous.
• Interest or experience in Enterprise AI or Generative AI platforms is considered a plus.
• Strong collaboration, problem-solving, and continuous learning mindset.

Not a perfect fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What's in it for you

• Opportunity to work with modern cloud-native technologies across AWS, Kubernetes, GitOps, and Infrastructure as Code.
• Exposure to large-scale enterprise environments and platform engineering best practices.
• Involvement in reliability, observability, and automation initiatives that drive meaningful business outcomes.
• Collaboration with diverse technology teams across a global organisation.
• Opportunity to expand expertise in emerging areas such as Azure, Data Engineering, and Enterprise AI platforms.

What skills you will learn

• Advanced cloud architecture and automation practices.
• Enterprise-scale Kubernetes platform management.
• Modern GitOps delivery approaches using ArgoCD.
• Infrastructure security, governance, and access management.
• End-to-end observability and Site Reliability Engineering practices.
• Cross-functional collaboration within global technology organisations.
• Exposure to AI-enabled platforms and data-driven engineering ecosystems.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

Join Us

At Vodafone, we re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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Desired Candidate Profile

Strong experience with AWS cloud platforms and infrastructure automation.

Hands-on experience with Kubernetes, containerised applications, and GitOps-based deployments using ArgoCD.

Solid expertise in Infrastructure as Code using Terraform; experience with Terragrunt is advantageous.

Proven experience building and maintaining CI/CD pipelines with GitHub Actions.

Strong Linux administration, troubleshooting, and systems management skills.

Good understanding of cloud security principles, IAM, networking, and access management.

Experience with observability, monitoring, logging, and platform reliability practices, including Loki, Tempo, Prometheus, Grafana, and OpenTelemetry.

Familiarity with Microsoft Azure is beneficial.

Exposure to Airflow or Data Engineering environments is advantageous.

Interest or experience in Enterprise AI or Generative AI platforms is considered a plus.

Strong collaboration, problem-solving, and continuous learning mindset.