Performance Engineer

Our client is creating a groundbreaking storage product that speeds up cloud and enterprise data centers infrastructure while reducing computer load and achieving productivity gains. The product solving a crucial problem for the database and aimed to help companies work effectively & smarter.

Requirements

●  4 years of relevant job experience.
●  Expertise in high-performance, parallel, and distributed systems.
●  Expertise in storage systems/data platforms internals (databases, storage stack, and protocols, filesystems).
●  Expertise in software engineering best practices. Great understanding of OS concepts.
●  Strong design and analytical skills.
●  Coding skills in C and/or C++ and scripting languages.
●  Proven track record in delivering production-quality server-side software.
●  Proven experience in Database Development (MS SQL, PostgreSQL, MongoDB, MariaDB).
●  Good knowledge of performance monitoring metrics and tools.
●  Leadership and communication skills.

Will be a plus

●  Experience of working with business partners and open-source communities a plus.
●  Experience with complex systems development and reverse engineering of large amounts of code a plus.
●  Experience with complex systems development and reverse engineering of large amounts of code a plus.
●  Deep knowledge of cloud platforms (IaaS and PaaS) a plus.

We offer

●  Competitive compensation including salary and options grant.
●  Medical insurance.
●  Tax compensation.
●  Long-term employment with 20 working-days paid vacation
●  Paid sick leaves (10 per year).
●  Modern and comfortable office near the Vystavkovyi center.

In this role, you will

●  Ensures products offer the best performance on all relevant applications, workloads, and systems.
●  Enable, develop, customize, and adapt applications so that they can run effectively on our technology while emphasizing our value.
●  Gather and analyze performance data, as well as recommend improvements in products and deliverables to increase performance for specific customer applications and also in general common workloads.
●  Specific focus to enterprise database applications such as MySQL, PostgreSQL, MariaDB, MongoDB, Redis, etc.
●  Benchmark and tune our software and hardware to maximize performance in highly parallel environments.
●  Develop tools and infrastructure for automating benchmarking and data analysis processes.