Lead Software Engineer -Go

Infinity Quest

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£56,538.0

Working hours

Regular working hours

Job source

www.adzuna.co.uk

Tech stack

Application Programming Interfaces (APIs) Big Data Code Review Continuous Integration DevOps Python (Programming Language) Machine Learning NoSQL Service Design Software Engineering SQL Databases Data Streaming

+7 more

Feature Engineering Kubernetes Low Latency Apache Kafka Software Version Control Golang Programming Languages

Requirements

Demonstrable ability to write high quality Python/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.