Senior Backend Developer

Summary

Solidus Labs is a young startup, and as such, we’re looking for very independent developers who are looking to make an impact and can hit the ground running. We aim for versatile and efficient people, who are comfortable with a fast-paced R&D environment that deals with challenging, interesting products. But being independent does not mean being a soloist, our ideal candidate is a team-player, who likes to weigh-in on the work that’s being done in order to push out the best possible product we can achieve. We’re building data-intensive systems at scale, complete with data-science algorithms and pipelines, that all need to meet production-grade standards; For that, we need engineers who can build scalable, maintainable systems using clean, readable code. Lastly, culture is very important to us, so we’re aiming for easy-going, kind people who are fun to work with. We’re also a flexible, family friendly, workplace that understands that different people have different constraints and preferences, and we aim to cater to that, within the realm of the reasonable.

Responsibilities

  • Contribute code and review code from junior developers
  • Build and lead a team of highly performant engineers
  • Coordinate activities across multiple internal and customer teams
  • Earn trust through regular communication with senior management on status, risks and change control
  • Own metrics for project success. Define, measure and report on these metrics
  • Be resourceful and find creative solutions to complex technical and organizational challenges
  • Write documentation and test plans
  • Demonstrate extraordinary people skills, customer obsession and attention to detail

Required Skills

Required:

  • 4+ years experience with Java (experience with Spring is a plus)
  • Independent, with a “get things done” attitude
  • Prior experience with data-related projects (using Kafka, various DBs, EMRs, Spark, etc)

Preferred:

  • Python experience (especially with data-related packages: numpy,pandas, PySpark, etc)
  • Fintech experience is a major plus (working with trading and/ortransactional data sets, understand concepts such as anorder-book, HFT algos, or front running)
  • Experience working in high production-standard environments(mature CI/CD, well-established alerting / monitoring / loggingstandards, etc)
  • Understanding of machine-learning concepts (for example: MLdevelopment lifecycle, supervised vs unsupervised algorithms, model explainability, ensemble models, how neural networkswork, statistical accuracy metrics, etc)
  • Experience with containerization technologies (docker,kubernetes
Lets get to know each other

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