Data Platform Engineer
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft…
Prestigious opportunity for a talented and experienced Platform Engineer to join a rapidly growing digital engineering team delivering cutting edge solutions across a diverse portfolio of clients.This is hands on applying your deep engineering and architectural expertise to design, build, and evolve scalable platform solutions that drive digital transformation within some of the UK's most exciting organisations. Collaborating closely with highly skilled, cross functional teams, you will work alongside engineers, architects, and product specialists to push boundaries and deliver impactful, high quality outcomes.
Design, build, and maintain robust cloud platforms and CI/CD pipelines
Contribute across the full software development lifecycle
Provide technical leadership and input into system and architecture design
Collaborate with cross functional teams to deliver scalable, reliable solutions.
Write clean, well documented code and contribute to technical documentation
Proactively monitor, troubleshoot, and resolve production issues
Continuously improve platform performance, security, and reliability
Stay current with emerging technologies and drive innovation and adoption
Communicate complex technical ideas to both technical and non-technical stakeholders
If you possess a combination of some of the following skills, then LET'S TALK!
Strong experience designing and managing cloud native platforms on Google Cloud Platform (GCP)
Compute Engine, GKE (Kubernetes), Cloud Storage
VPC networking, IAM, Cloud Functions
Proven experience with Infrastructure as Code (e.g., Terraform)
Strong background in CI/CD pipeline design (e.g., Jenkins, GitLab CI, Cloud Build)
Proficiency in scripting/programming (e.g., Python, Bash, Go)
Experience with containerisation & orchestration (Docker, Kubernetes)
Solid understanding of cloud networking, security, and identity management
Experience with monitoring & observability tools (Prometheus, Grafana, ELK, or similar)
Strong Git/version control experience
Exposure to the following skills is advantageous but not essential: -
Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise).
Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet).
Knowledge of site reliability engineering (SRE) principles and practices.
Familiarity with GCP AI/ML services (AI Platform, AutoML).
In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid working environment.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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