Position: IT Researcher
Company: Xenoss
Category: HR
Experience required: 1y

Required skills

— 1+ year of experience in a similar position
— Experience with different tools for sourcing (X-Ray, Boolean search etc.)
— Experience using several channels (LinkedIn, GitHub, Stack Overflow, job boards, social media, internal database)
— At least Pre-Intermediate level of spoken and written English
— Responsible and self-organized
— Experience in working with digital-sources of candidates research
— Understanding of technical terminology and ability to discuss requirements with candidates

As a plus

—IT market knowledge

We offer

— Unlimited work-from-home option
— Flexible working hours
— 3 weeks of paid vacation and 2 weeks of paid sick-period
— Senior team and challenging projects
— Long-term employment
— Zero bureaucracy
— Covering costs of professional events and English lessons
— Opportunity to choose the equipment you like (MacBook, as you wish)
— Various snacks, tea, coffee, and fresh fruits in the office

Responsibilities

— Search for a wide range of IT professionals (engineers, testers, developers, and architects)
— Post vacancies on external resources
— Create a wide Talent pool and updating CV search database
— Prescreen and present appropriate candidates to the Recruiter
— Monitor the job market
— Search for talents using several channels (LinkedIn, GitHub, Stack Overflow, job boards, social media, internal database etc.)
— Communicate with candidates on a daily

Project description

Xenoss is a software development lab focused on building a data-driven solution for the marketing and advertising industry.

We build audience statistics trackers, user behavior prediction systems, user journey optimization solutions, DMP/DSP/SSP systems, location data processing systems, email automation systems, segment builders, etc.

We work with really big data. We store, process, transform, and search on tons of fuzzy structured data sets using NoSQL, in-memory storages, Hadoop, distributed storing, complex data sharding, replication algorithms, etc.

We face strong algorithmic challenges, like tree and graph processing, search algorithms, multidimensional optimization tasks, machine learning algorithms etc.

Our clients are top marketing and advertising agencies, AdTech vendors, MarTech SaaS companies, banks, mobile carriers. The software we delivered is now the tech basis of multi-billion businesses.

We are passionate about efficient and reliable software.