Trivium Real Estate | Frontend and Devops | London | Full-time | ONSITE
We're a young, investor-backed, machine-learning startup for the commercial real estate industry (proptech). Our MVP is moments away from launching and customers are queuing to take it for a spin. As such, we're growing our team to tackle the challenges ahead.
We're a team of 8, located at London's South Bank and value continuous learning, empathy with our clients and customers, and empowering our engineers to make the best decisions.
# Front-End Engineer
This is for someone who:
- is comfortable in functional programming, especially Elm; and
- is experienced shipping front-end software to production; and
- has empathy for users and loves friendly UX; and
- has an eagerness to learn and willingness to share knowledge.
## A Typical Day
- Start off writing a feature that requires elm-ports. These can be tricky, so you pair with another developer who has shipped such code before.
- After lunch you're requested to review a Pull Request that fixes a bug you accidentally introduced a couple weeks back. There's no blame, instead some discussion about how our tests and review process could have caught this earlier.
- The afternoon is spent with the Product guys around a whiteboard. You're helping them sketch out a realistic wire-frame for a feature we plan to deliver in a couple of weeks.
# Dev-Ops Engineer
We're believers in CI and automated testing, but we need some help getting there. In particular we spend far too much time:
- Ensuring our testing, deployment, and validation services are up to date with the product.
- Managing different servers for staging and production.
- Trying to ensure we have a consistent build process across different machines.
- Thinking about the best way to deliver our machine-learning services in production.
You should have:
- experience maintaining CI services;
- experience writing web applications in a functional language;
- experience with different build processes (e.g. Make, `webpack`);
- knowledge of and comfortability with Linux, AWS, and Docker.
# Some Tech we like:
We're more interested in a willingness and ability to learn than what you currently know. But in case your interested in the stack we're using:
- Haskell
- Elm
- PostgreSQL
- Python / scikit-learn
- Tensorflow / Deep learning
- AWS
- CircleCI
- Automated Testing
contact info in my profile.