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We are looking for Senior Backend Engineers to join our growing team. You’ll become a core part of our expanding, dynamic team which is responsible for developing scalable product features using modern development patterns. You’ll be someone who loves innovating and problem solving, and gets a kick out of making systems work efficiently at an increasingly larger scale. Our current backend technology stack is written in Python and you should have good industry experience writing production code in it - but we also embrace change and your experience will help to shape our technology strategy, helping to adapt our architecture as we grow. You’ll get the opportunity to utilise a variety of technologies to pave the future of Bark whilst enhancing how we solve complex online problems in cutting-edge areas such as personalisation, AI assisted analytics and engagement. You’ll be involved in every aspect of the process: idea generation, business analysis, technical and architectural design through to implementation.
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
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 FastAPI framework
Experience with cloud monitoring systems, such as Datadog
Experience with ElasticSearch, MongoDB or similar
Interest in AI as a tool for increasing developer efficiency
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