Starling Bank

Cloud Infrastructure Engineer (GCP) - Engine by Starling

London, UK
Python Go API Java GCP AWS
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Description

At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. 

Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. 

Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success.

We draw upon our experience as knowledgeable bankers, and best in class technologists to become the chosen option for these banks, and preferred partners for leading consultancies.

As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we’re looking for someone who will be excited by the potential for Engine’s technology to transform banking in different markets around the world.

Hybrid Working

We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. 

About Engineering at Engine by Starling

Platform engineering is something we are passionate about, we pride ourselves on delivering software in a reliable, scalable and maintainable manner. Our platform is expanding and with it bringing new challenges to how we deliver software. All engineers are responsible for owning features from inception, through deployment, to running in production. Using a first principles approach, we aim to break down problems and implement solutions across every stage of that lifecycle. 

As an Engineer at Engine, you’ll be working on helping to build, scale and deploy our first in class cloud native banking platform to multiple cloud providers and regions globally. You will be encouraged to get involved in all areas of our platform. We value a multi-discipline approach to engineering and a culture that supports that. Some of the disciplines you will be exposed to include:

  • Toolchain Development
  • Build and Deployment Systems
  • Observability and Reliability
  • Runtime Orchestration; Control and Data Planes
  • Global Multi-Cloud Architectures
  • SaaS API Management and Security
  • Core Java Platform

We do not expect you to have any experience in the above - we’re looking for curious individuals who like to work across multiple disciplines and see this as an opportunity to grow and learn about other areas.

Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest Blog or our case studies with Women in Tech.

What you'll get to do:

  • Design, document, build and maintain scalable infrastructure on GCP
  • Work with stakeholders to design hybrid-cloud systems - we use AWS and also co-locate Payment HSMs in physical data centres around the world
  • Ensure the performance and reliability of cloud environments whilst measuring cost-effectiveness
  • Embrace automation and be reluctant for manual implementation
  • Implement security best practices
  • Ensure platform compliance with ISO27001, SOC2 and PCI-DSS
  • Address infrastructure related remarks and issues raised by clients
  • Share knowledge with colleagues by writing technical documentation and leading training sessions
  • Demonstrate knowledge of new technologies and changes in the industry

Ideally, you will be an inquisitive Infrastructure Engineer, with an aptitude for finding clean and simple solutions to technical problems. You will be passionate about building observable and reliable systems that impact the wider engineering organisation. The ideal candidate will have experience with:

  • Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Shared VPC, CloudSQL and Identity and Access Management (IAM)
  • Experience setting up Google Workspace / Google Cloud Identity
  • Experience with service oriented architecture with containers, distributed systems and immutable infrastructure
  • Experience with Infrastructure as Code and infrastructure provisioning tools
  • Experience with observability software
  • Experience with automation using a scripting language like Python or Golang
  • Experience implementing CI/CD pipelines
  • Understanding concepts of RESTful APIs and web technologies such as API gateways
  • Excellent communication and problem-solving skills

Desirably you'll have:

  • Experience with Zero Trust security (MTLS, SSO)
  • Experience with AWS
  • Certifications in GCP
  • Understanding of database monitoring, analysis, disaster recovery and performance tuning
  • Knowledge of security and compliance frameworks like ISO270001, SOC2 and PCI-DSS
  • Understanding of networking and routing concepts (TCP/IP, VLANs, VPNs, BGP, etc) and preferably experience designing and establishing connectivity between GCP and on-premise locations

Our Interview process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Initial interview with an Engineer - ~45 minutes
  • Take home technical test to be discussed in the face to face
  • Technical interview with some Engineers - ~1.5 hours
  • Final interview with our CTO / deputy CTO ~45 minutes

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