Staff Backend Software Engineer

November 23, 2023

Apply Now

Receive Emails with Similar Jobs

neptune.ai

WebsiteLinkedInAll Job Openings

Experiment tracker and model registry for production ML teams

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

11 - 50

Description

We are on the lookout for an experienced and ambitious Staff Backend Software Engineer . In this role you will use your skills and knowledge to help us set technical direction and develop our distributed system at scale effectively. We are looking for a self-driven and proactive specialist who has worked on bigger production systems and is able to use this experience to influence development. At Neptune, we have a quite ambitious goal of becoming an MLOps standard for data scientists worldwide. Our platform is a metadata repository built for research and production teams that run multiple ML experiments. 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?

Requirements

You have 10+ years of experience in Software Development of distributed systems. You are proficient in Java and have solid experience with JVM-based applications (hands-on role). You have a working knowledge of Kubernetes and containerization in general; you understand its concepts. You are an expert in choosing proper technology to store data (e.g. SQL vs. NoSQL vs. distributed file stores; scalability vs. reliability vs. latency). You perform an excellent code review. You are proactive – you can influence, discuss, research, decide without supervision. 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.

Benefits

• 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.