About Arctera
Arctera keeps the world’s IT systems working. We can trust that our credit cards will work at the store, that power will be routed to our homes and that factories will produce our medications because those companies themselves trust Arctera.
Arctera is behind the scenes making sure that many of the biggest organizations in the world – and many of the smallest too – can face down ransomware attacks, natural disasters and compliance challenges without missing a beat. We do this through the power of data and our flagship products, Insight, InfoScale and Backup Exec.
Illuminating data also helps our customers maintain personal privacy, reduce the environmental impact of data storage, and defend against illegal or immoral use of information.
It’s a task that continues to get more complex as data volumes surge. Every day, the world produces more data than it ever has before. And global digital transformation – and the arrival of the age of AI – has set the course for a new explosion in data creation.
Joining the Arctera team, you’ll be part of a group innovating to harness the opportunity of the latest technologies to protect the world’s critical infrastructure and to keep all of our data safe.
Job Description
Responsibilities:
We are looking for candidates who have experience with file systems, storage and cloud technology for data protection solution. You should also have an eye for great design and a knack for pushing projects from conception all the way to customers.
In this role, you will design and develop data protection solutions using the latest technologies. You will own product quality and overall customer experience.
You will also propose technical solutions to product/service problems while refining, designing and implementing software components in line with technical requirements.
The Software Engineer will productively work in a highly collaborative agile team, coach junior team members, actively participate in knowledge sharing all while communicating across teams in a multinational environment.
Minimum Required Skills include:
- MS/BS in Computer Science/Computer Engineering or related field of study with 3+ years of relevant experience
Full understanding of file systems, storage and cloud technologies, emerging standards and engineering best practices
Strong communication skills, both oral and written
Designs, develops and maintains high quality code for product components, focusing on implementation.
Solid knowledge of algorithms and design patterns
Mastered the fundamentals of programming and/or debugging skills in C++, Knowledge of databases and SQL
Programming Languages – C/C++, GoLang
OS Platforms - Windows OS
Storage and Networking - Device Driver, Filter Driver, Communications
Database – Sqlite, Postgres a Plus
Strong problem solving and organizational skills
Desired Skills include:
- Experience in Agile development methodologies including unit testing and TDD (test-driven development)
- Working knowledge of delivering into cloud based environments using standard CI/CD tools (Jenkins, Artifactory, Spinnaker, SonarQube) and best practices
- Knowledge of cloud IaaS/PaaS and Microservices design a plus
- Ability to collaborate with various teams to implement innovative and viable solutions for commercial product and internal tool user interfaces
- Ability to communicate and collaborate among cross-functional teams in a multinational environment
What We Do
Veritas Technologies is a leader in multi-cloud data management. Over 80,000 customers—including 87% of the Fortune Global 500—rely on us to help ensure the protection, recoverability and compliance of their data. Veritas has a reputation for reliability at scale, which delivers the resilience its customers need against the disruptions threatened by cyberattacks, like ransomware. No other vendor is able to match the ability of Veritas to execute, with support for 800+ data sources, 100+ operating systems and 1,400+ storage targets through a single, unified approach. Powered by our Cloud Scale Technology, Veritas is delivering today on its strategy for autonomous data management that reduces operational overhead while delivering greater value
