We are growing fast as a company and do our best to bring our SaaS cloud-based backup services to the global audience.
Our platform is designed to provide customers with an immutable historical archive of their primary data in systems such as Microsoft 365, Google Workspace, Salesforce, Azure AD, Dynamics 365, and Zendesk. It aims to protect them against everything, starting from ransomware to simple accidents.
Most of our back-end components are written in clean, modern C++ using purpose-built components and STL. Several components that deal with business processes and data mining are built using Common Lisp. Everything runs on Linux.
Backing up billions of objects over foreign APIs using imperfect networks on systems with finite memory and making it all happen in as little time as possible is no small feat.
If you think solving hard problems is fun, we have strong indications that we will not run out of hard problems any time soon. Come join us for fun!
During the recruitment process, you can expect the following stages:
HR interview, technical pre-screen, technical assignment, technical interview.
You will be assessed according to the criteria below:
Timing: As soon as possible
The position: Full-Time occupation based in Lviv.
Salary: The compensation package is market competitive and will be negotiated with the successful candidate.
If you have any questions about the job or the recruitment process, please feel free to reach out to Khrystyna Martyniuk at [email protected].
We kindly ask you not to provide us with any sensitive categories of personal data when applying for a job with us.
Sensitive categories of personal data include data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning health or data concerning your sexual orientation.
When applying for the vacancy, Keepit will process your personal data, and therefore we recommend that you also read our privacy policy, which describes our processing of personal data and your rights as a data subject.