Overview
We are looking for an experienced infrastructure engineer who enjoys problem solving, learning, and supporting others.
Salary: £70k - £95K
Reporting to: Andrew Zhao, Cloud Team Lead
Location: primarily based in our London Office, with flexible and hybrid working (ideally three days per week in the office).
About us
At VivaCity, we make cities smarter, safer, and more sustainable. We have over 5,000 AI sensors around the world, gathering real-time anonymous data on transport modes, traffic flow, and travel patterns. This is used to gather actionable insights to support strategic decisions to improve the global transport network.
All our solutions are community-centric, using 'privacy by design' principles. Our ultimate goal is to make the European vision of a Smart City - one which makes the city work effectively, for the community.
We have an open and collaborative culture, intended to maximise innovation while preserving the sense of community that has made VivaCity a fantastic place to work. Read more about what it's like to work at VivaCity.
About the role
You’ll be joining a group of 20 engineers who work across a wide problem space and technology stack, from high-volume cloud computing and full-stack web development to physical hardware, via cutting-edge machine learning research.
This role sits within our Cloud and Infrastructure team (currently a team of six), which is responsible for the development, monitoring, and maintenance of the company’s cloud and on-premise infrastructure, CI processes, company data, internal tooling, information security, and end-user devices.
This role has a focus on improving the resilience and observability of our cloud infrastructure, and primary responsibility for our Apache Kafka platform.
You will work closely with other engineers in the Technology department to improve the scalability and reliability of our production services, as well as provide guidance and technical support.
This role is a unique opportunity to work with a wide variety of technologies and tooling, including complex time series data, an in-house data pipeline system written in Go, and kubernetes clusters defined using Infrastructure as Code.
About you
You enjoy problem solving, learning, and supporting others. You thrive on wearing lots of different hats and working in a wide variety of areas. You are capable of taking ownership of tasks and seeing them through to the end, and include tests and documentation in your definition of “done”.
You communicate clearly and effectively so that others understand what they can expect from you, and when they can expect it. You continue working on problems, even when you are not familiar with the problem space, and you know when and how to ask for help.