Senior Backend Engineer (вакансія неактивна)

5+ years of Python experience working in a large software system (not just web-dev)
~3 years of experience developing distributed systems, ideally with some kind of architecture responsibilities, or designing component interfaces
In the interview process you will be evaluated on your performance in a number of coding test and design test scenarios — be prepared to think!
Some experience with data processing:
Pandas
Numpy/Scipy
Scikit-learn
Spark
MLlib (Spark.ml)

Messaging like ZMQ or RabbitMQ
API interface design and construction
Microservice/distributed systems design and construction
Persistent storage like Redis and MongoDB
Parallel Computing
Experience/understanding resource management services workflow (Hadoop/Yarn, Mesos, Kubernetes, AWS, OpenStack, Docker or any other).
Experience working on the JVM (Java, Scala) a plus
System/performance engineering (profiling process memory/cpu/io/network usage, system calls, flame graphs, jvm/python specific debugging instruments (pdb, visualvm, etc.))

It’s not an outsource. We’re in Kiev not for cheap developers, but for the best ones.
We are the company founded and managed by engineers (we have no managers that can’t code).
Our product solves real-world problems in multiple areas (from finances to food recommendations).
We are funded by top tier investors (Atlas Ventures, IA Ventures, TechStars, strategic angels).
We have business trips opportunities.
We have free catering: lunch and dinner, sweets and drinks are at the house.
Medical insurance, sports program.
Help with registrations, taxes and other bureaucratic procedures.
And much more.

As a senior backend developer, you turn data science techniques into scalable new features, with a focus on robust distributed architecture. You will engage across disciplines to design and implement cutting-edge machine learning enhancements and infrastructure in DataRobot. Whether optimizing database query patterns, working on predictions tech, improving model tuning, designing storage structures necessary for new features, improving coding practices, or parallelizing code bottlenecks, you get it done while helping those you work with to be better developers.

The ideal candidate should bring new ideas from concept to implementation, write quality code, participate in design/development discussions, then translate architectural specs into working application design.

At DataRobot you will work with among world-class data scientists, software engineers, and an executive team that is super passionate about data science. We believe the automation of data science workflows will transform the data analysis and intelligence industry and we are delivering our vision in a fast paced, rapidly growing, execution-focused company.