Boston | Norwalk | Remote | Rochester
As a member of Datto’s BCDR team, you will enhance and improve the software powering the SIRIS and Alto business continuity and disaster recovery (BCDR) products, ~90K devices deployed across all 7 continents for our Managed Service Provider (MSP) community.
Datto’s BCDR devices are Linux powered backup appliances that perform block-level snapshots of physical, virtual, and public cloud based servers. Application consistent backup data is stored as raw disk images in a local ZFS-based disk array.
In the event of data loss, customers can recover data in a variety of ways including; restoring files or directories, mounting volumes as iSCSI targets or Samba shares, launching a backup as a local or remotely hosted virtual machine, or deploying a backup to physical hardware.
In this job you will:
Partner with your technical colleagues to develop new products and features that improve the MSP experience and ensure reliable and secure data protection for our customers.
Work on complex systems that rely on internal and external libraries using multiple languages, primarily Python
Contribute to the continual improvement of the architecture and code base
Troubleshoot low level linux and file system issues
Collaborate with multiple teams to improve the product’s performance, scalability, durability, and security
Requirements:
B.S. or M.S. in Software Engineering, Computer Science, or a related field (or equivalent experience)
Strong Computer Science fundamentals in data structures, design patterns, and algorithms
You have a passion for technology, software engineering, and continuous learning
3+ years of professional experience developing back-end solutions in an object-oriented language such as Python, PHP, Java, C++, or C#
Comfortable with Linux command line programming and deep understanding of file systems
Excellent communication skills and able to collaborate with a diverse team in a fast-paced environment
Transparency tops your list of values, and you contribute to a culture of respect and inclusion
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