Senior Backend Software Engineer

September 27, 2023

neptune.ai

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Experiment tracker and model registry for production ML teams

Machine learning • Data science • MLOps • Experiment tracking • Model registry

11 - 50

Description

• 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

Requirements

• Proficient in Java and have solid experience with JVM-based applications • Working knowledge of Kubernetes and containerization in general; you understand its concepts • Knowledge of advantages and limitations of various storages (SQL, NoSQL, filesystems, object storages) • Excellent code review skills • Experience with Scala and/or Python is a plus • 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

Benefits

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