DraftWise is industry-disrupting software for law firms. Our core product is an IDE for lawyers, built on a foundation of data management and analytics. The legal world is ripe for technology, and we intend to bring stepchange improvements to legal workflows.
Our founding team composes of ex-Google, ex-Palantir engineers and seasoned lawyers from top law firms. Our small team of 9 today is focused primarily on engineering and design. We're all currently working remotely but plan to open offices in the US and Europe as we are eagerly but consciously adding new members to our team from all over the world. We value quality over quantity, support each other through each major milestone and are respectful toward each other with a healthy dose of open discussion.
We’re very early stage and backed Y-Combinator, well known VC funds, and influential people in the legal space, technology and business.
Our company is growing extremely fast. We already have some of the biggest law firms in US, UK, EU on multi-year contracts. We have more demand than we can handle, and we are looking for talented engineers who care about producing great products they can be proud of, self-growth and our company mission and values.
We're looking for an experienced, backend software engineer to join our core team. As an early team member, you will have a broad ownership and impact on the technology, the product, and our culture. You’ll work alongside and learn from a first-rate engineering team on big data, distributed systems (scalability and concurrency), enterprise search, and cloud infrastructure.
We have challenges at all levels of the stack, from the nuts and bolts of Docker and our in-house, declarative, multi-cloud management stack to a microservices oriented architecture and terabyte scale data pipeline all the way up to building beautiful web technology and training NLP models. We have a heavy JVM footprint, and are fans of gradle, docker, AWS, IaC, metrics-based-health, and keras.
We’d love you to take ownership of features, write performant, readable code, and make architectural decisions.
We have plenty of challenges at all levels of the stack, from the nuts and bolts of Docker and VM infrastructure and NLP all the way up to building beautiful web technology. We would love to have you to take ownership of features, make architectural and product decisions as well as writing code.
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