Senior Platform Engineer, loveholidays

• You are a motivated engineer who enjoys collaborating across teams to achieve shared goals, sharing knowledge with others
• You go below the surface and understand the intricacies of technologies you use, like Kubernetes
• You have built and operated highly available, high load production Kubernetes clusters with supporting Cloud Native tooling
• You have proven experience in building scalable and high-performance systems, employing cutting edge technologies and processes
• Applying a product mindset, you solve for end users first, with technology being a means to an end
• You have a constant interest in learning more about the latest trends in the platform engineering space, and want to grow further. We invest in engineer’s growth and will give you the platform to do it
• You own systems end to end, from specification to coding, to deploying, running and monitoring in production

• Cloud Infrastructure is a critical team for company success as it levels up the rest of tech through scalable Platform Engineering practices
• We care deeply about the performance, reliability, and scalability of our systems, including the operational cost
• Our engineering teams own the lifecycle of services from the first commit to a high-load operation in production
• Your responsibility will be to help engineering teams succeed at operations, not to run their services for them
• Our runtime architecture is Service Based and hosted on Google Cloud Platform
• Our engineering teams provision and manage their services' infrastructure with Infrastructure As Code using Terraform, Atlantis and Kubernetes
• We’ve deployed over 145,000 times using GitOps (ArgoCD) and Helm, all validated by Conftest
• We place a strong focus on observability, continually evolving our monitoring and alerting stack, currently centred around the Mimir (Prometheus), Grafana, Loki, Tempo ecosystem
• Our service mesh (Linkerd) provides uniform observability of all production services at 10s intervals
• Performance and scalability are integral to our software and infrastructure development process, achieved by combining Computer Science fundamentals and cutting-edge cloud technologies
• Our teams are encouraged to use the right tool for the right job
• We program in Java, Go, Rust, Python, JavaScript and others
• Ensure scalability of both self-service platform and foundational services by utilising platform engineering best practices, deep Kubernetes expertise and the latest Cloud Native tooling
• Applying our engineering principles through a Platform Engineering lens
• Contributing to a high-performing Cloud Infrastructure team
• Enabling our engineers to further self-service their needs with the right tools, processes, and training
• Evolving GCP, GKE, and observability with scalability, reliability and performance in mind
• Securing our infrastructure through DevSecOps practices
• Promoting and maturing FinOps practices
• Ensuring our systems and its components can withstand x10 load by improving our performance testing

• TA screening - 30 mins
• 1st stage with Hiring Manager - 60 mins
• 2nd stage Kubernetes hands-on test - 90 mins
• Final stage - 1 hour

• Discounted holidays for you, your family and friends
• 25 days of annual leave + bank holidays
• Company pension contributions at 5%
• Individual training budget for courses, seminars and memberships to professional bodies
• High degree of autonomy in a strong collaborative environment
• Cycle to work scheme, season ticket loan and eye care vouchers
• Hybrid working with 3 days working in our office (London) and 2 days WFH per week
• Sustainably sourced fruit baskets in the office kitchen
• Increased annual leave for long service
• Ability to buy and sell annual leave
• Enhanced maternity pay = 6 weeks of full pay and 20 weeks at 50% pay
• Enhanced paternity pay = 4 weeks of full pay

Total funding: $6.7m

Travel, both domestic and overseas, has been a huge part of the British economy since the late 20th century. In 2019, UK residents spent £43 billion on foreign holidays - almost double the amount spent a decade before.