What you’ll be doing
As an Infrastructure Engineer at re:infer you’ll design, build and
maintain our continuous integration / automated deployment flow. As part
of the engineering team, you will build tools to ensure re:infer is
easy to deploy and update in a fully automated way. You will be
responsible for our Google Cloud Compute Kubernetes production
deployment and on premise Kubernetes deployments we have with our
We’re dedicated to what we’re doing and we work hard in a sustainable and healthy way. If you want to work from home some days that’s cool. All that matters is you contribute effectively and work well with the team.
Skills and experience
Sorted from “essential” to “nice-to-have”:
● Linux systems administration and management
● Python development experience
● Kubernetes and Docker
● Experience with build automation (e.g. Jenkins etc).
● Experience with Google Cloud Platform, Azure or AWS
● Rust development experience
● Understanding of different database systems (consistency/availability concerns, schema management etc.)
● Experience with high availability cloud systems focusing on robustness, security and disaster recovery.
We’re looking for someone who’s a hacker at heart, loves programming and can learn quickly and adapt to changing requirements. Beyond that you need to be kind, courteous, motivated, self-starting, honest and responsible.
The backend is a mixture of Python and Rust and consists of many containerized stateless microservices and a few stateful ones. There’s a mixture of interactive and batch services, with many running heavy numerical loads. Everything gets deployed on Kubernetes in Google Cloud Platform. Additionally we support on premise deployments for our biggest clients (either a private cloud or Docker EE). We use RethinkDB and Elasticsearch for storage and indexing. The frontend is built using Typescript, React, Redux and Webpack.
re:infer was founded by Machine Learning researchers, engineers and entrepreneurs from UCL and Google. We’re a small team of technologists (~ 10 people) motivated by solving the very hard problem of getting machines to understand conversations.
We work in two-week sprints following the best bits of the Agile approach to software development. Our employees benefit from a relaxed, social atmosphere in which they’re free to make use of our open-plan office to discuss ideas, or put their headphones in and find a quiet corner as and when they require. We support flexible working hours and have a generous holiday policy and company pension. Everyone gets their own top-spec laptop and whatever office hardware works for them.
re:infer makes human conversations understood and actionable to machines. We allow our (often non-technical) users to create, manage and deploy state-of-the-art machine learning algorithms against high volume streams of conversational data. Our mission is to make all natural language communication structured, measurable and easily actionable.
re:infer is a B2B SaaS machine learning and analytics platform controlled and monitored via a web UI. We are an early stage startup with significant funding and growing very fast. It is an opportunity to make a major impact at an early stage, to tackle big problems and work towards artificial intelligence with a true grasp of human language.
re:infer’s offices are at Mindspace Aldgate, in the heart of East London.