Job Description
- Demonstrable ability to write high quality Golang and SQL in a production context. You are happy to learn new programming languages and frameworks as necessary.
- Experience with large volumes of data and high throughput, low latency solutions built on Kafka and Kubernetes
- You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs, and in-memory/NoSQL stores.
- You have experience in resolving different solutions and approaches to problems and can choose between pragmatic and rigorous solutions depending on the situation.
- You are comfortable working in a devops-based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success.
- You are comfortable communicating with a range of stakeholders, including subject matter experts, data scientists, software engineers, devops and security professionals.
- You have the ability to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale-up stage software engineering.
- You have experience optimising solution performance with a constrained set of technologies.
- You have experience or are keen to engage with productionising machine learning technologies combined with large scale feature engineering.
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