Ready for a challenge? 

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. 

About this role
We’re revolutionising the way humanity eats, and there’s a lot of room for optimization and growth. That’s where you come in. Your resourcefulness will help us continue to drive innovation, making an impact on the reliability, performance, and scalability of Skip’s industry-leading technology.
 
Ideal candidates will be passionate about cloud technologies, automation and CI/CD and will relish the challenge of building and maintaining robust architecture designed to support near real time analytics, advanced data science and critical operational projects reliant on data. This role requires that you work closely with technology and business stakeholders and translate business data needs to technical requirements, design and implementation.

Location: Hybrid- 3 days a week from our London, UK office & 2 days working from home
Reporting to: Staff Data Engineering 

These are some of the key ingredients to the role:

• Implement a secure and well tested Google Cloud Platform (GCP) using Infrastructure as Code
• Implement and maintain auto-scaling & auto-healing Kubernetes clusters in GKE along with the developers
• Facilitate automation of applications deployments in Google Cloud though the design and implementation of standardised CI/CD pipelines in Github Actions
• Maintain logging, monitoring & alerting across all applications with the Prometheus stack and Google managed services
• Manage cross cloud networking within AWS & Google Cloud for seamless multi-cloud strategy
• Promote and evangelise DevOps best practices inside and outside the team
• Encouraging a high-performance culture and a strong team
• Using standard methodologies to improve products/services or processes.
• Working with other teams to deprecate old services
• Day-to-day technical leadership - no people management

What will you bring to the table? 

• Experience working with Google Cloud Platform, bonus points for knowledge of AWS. In particular knowledge of infrastructure management ( VPC, Subnets, IAM, VPN, DNS, etc..) and other managed services like CloudFunctions, CloudRun, etc..
• Experience with GCP data services, BigQuery, Datastream, Dataflow, Cloud Storage will be appreciated
• Scripting and programming experience in particular Bash, Python or other programming languages.
• Experience with  Docker for generating containers and managing them at scale
• Experience with container orchestration solutions (GKE, Autopilot) and more generally Kubernetes
• Deployment orchestration tools like Helm
• Familiarity with CI/CD standard methodologies and technologies like GitHub Actions or similar
• Experience in Infrastructure as Code technologies (Terraform, Pulumi or equivalent) for building repeatable infrastructure over multiple environments.
• System logging and monitoring using tools such as Prometheus, Grafana, Cloud Logging, Cloud Monitoring and Google Managed Prometheus
• Linux
• Real-world experience building scalable systems, working with large datasets, and fixing infrastructure challenges under pressure.
• Ability to deliver solutions for platform scaling, performance troubleshooting, service failover and optimization.

At JET, this is on the menu: 
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. 

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.