HN Jobs

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.