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We are looking for a Senior Backend Engineer to join our growing team. You’ll become a core part of our small, highly agile team which is responsible for transforming our product. AB testing and test-measure-learn approaches are close to our heart and you will work equally across figuring out solutions to user problems and how we will scale our technical systems. You’ll be someone who loves innovating and problem solving, and gets a kick out of working fast to develop prototypes and iterating to find the optimal result. You’ll work across our tech stack to solve a variety of challenges from our back-end processes, to our APIs and to our front-end product. We are in the middle of transforming and modernising our technology stack so you will have the opportunity and be encouraged to contribute to new technology decisions, helping to shape our technology strategy, adapting our architecture as we grow.
Job Responsibility:
Work with development teams and product managers to conceptualise and implement software solutions
Build elegant and performant APIs and handlers
Develop and manage well-functioning datastores and services
Proactively propose and implement improvements to the codebase
Mentor other engineers to support their growth
Design and code solutions for systems with a high volume of transactions a second
Work with other high performing departments to revolutionise the product
Requirements:
Expertise and extensive experience using Python in a production environment (Minimum 5+ years)
Defining, implementing and testing: APIs
Event Handlers
Business logic
Integrations with 3rd party systems
Production SQL and NoSQL database experience
Using Docker in production, ideally with Kubernetes or Fargate/ECS/EKS
Experience building, maintaining, testing and documenting features to be used by other developers both internally and externally
Strong organisational skills
Ability to achieve goals in a highly innovative and fast paced environment
Nice to have:
Familiarity with the AWS ecosystem.
Experience with cloud monitoring systems, such as Datadog
Experience with ElasticSearch, MongoDB or similar
Interest in AI as a tool for increasing developer efficiency