We are on the lookout for a Senior Backend Software Engineer with a knack for building scalable products. There is a lot of independence and space to test your creative ideas in our environment, so we are looking for a self-driven and proactive specialist who is not afraid to take ownership.

At Neptune, we have quite an ambitious goal of becoming an MLOps standard for data scientists worldwide. Our platform is a lightweight experiment tracker for ML teams that struggle with debugging and reproducing experiments, sharing results, and messy model handover. Don’t worry, you don’t need to have ML skills. Our customers handle that part.

We design Neptune to be extensible, flexible, and lightweight to ensure it fits any workflow and keeps up with this fast-paced field. Some of the things we do are pretty run-of-the-mill engineering work (REST, SQL, NoSQL), but often, we stumble upon a bigger challenge! After all, how many companies have implemented a custom scalable time-series storage moving data between various underlying storages?

 

Our tech stack:

  • Java (+ Spring), Scala, Python
  • Kubernetes, Helm, containerization
  • Google Cloud
  • MySQL, Elasticsearch, Kafka
  • S3

 

Responsibilities:

In this role, you will be:

  • building an application that is:
    • Scalable: we aim to be the standard for data scientists and ML engineers around the world – there’s quite a few of them;
    • Portable: we offer both SaaS and on-prem installations. There are times when we need to be very lightweight;
    • Flexible: Machine Learning is a very fast-paced field; we often need to adapt;
  • choosing the tools we use. We’ll lean on your knowledge and expertise to select the best technologies and tools for a given task;
  • participating in defining our application’s architecture;
  • implementing new features and improving the existing ones.

 

Our expectations:

  • You are proficient in Java and have solid experience with JVM-based applications;
  • You have a working knowledge of Kubernetes and containerization in general; you understand its concepts;
  • You know the advantages and limitations of various storages (SQL, NoSQL, filesystems, object storages);
  • You perform an excellent code review;
  • If you have experience with Scala and/or Python, that’s great;
  • You’re always hungry for more knowledge – learning new things is natural for you; you do it constantly;
  • Knowledge of Machine Learning concepts would be awesome – but is not a must.

 

We offer:

  • Flexibility: 100% remote work with an office in Warsaw available and flexible working hours;
  • Share in our success: Participate in the Employee Stock Option Plan and be part of our growth journey;
  • Time off: 20 paid service-free days per year;
  • Ownership and impact: Space to take action, bring your ideas to life, and make a real impact;
  • Perks: Co-financing of private medical care and Multisport card, regular team building events, and free lunch when you’re at the office.

 

Any questions?

Check our ultimate guide for candidates to the neptune.ai Engineering team.

Don’t hesitate to contact our Talent Acquisition team, and check out our About us page to get to know the story and faces behind Neptune.

 

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