Founded in 2015, Automox is coming off its fourth quarter of record growth. Automox has become the preferred endpoint management solution for over 1,500 customers across 30 countries.
We’re building a strong, diverse team of curious and creative people bent on solving one of the most challenging problems in the security industry.
The mission of the Data Platform & Analytics (DPA) team is to ensure customers have the data and tools they need to make important and timely decisions. The role of the Data Engineer is to build the infrastructure that makes this possible.
THE FUN STUFF
Work on projects that are critical to Automox’s mission and have high visibility across the company
Build, enable, and maintain high-quality, reliable data infrastructure
Partner with data science, engineering, and product teams to deliver new capabilities to customers
Leverage modern engineering practices and tools in a cloud-native SaaS environment
Have an opinion, test your ideas, work with talented yet humble people, have fun, get stuff done
KEY SKILLS AND ATTRIBUTES
15+ years of experience as a Software Engineer with a focus on data
Track record of architecting, designing and maintaining data pipelines
Expertise with deploying and maintaining distributed data processing frameworks, database technologies, and streaming/messaging systems.
Ability to assemble large, complex data sets that satisfy the needs of both internal and external customers
Build analytics tools as part of a data platform to enable data access, analytics workflows, and actionable insights into customer’s IT environments and the company’s operational efficiency
Extensive experience with cloud environments and technologies (AWS preferred)
Experience with both relational SQL and NoSQL databases
Proficiency with and willingness to learn programming languages such as Golang, Python, Java, Scala
Experience partnering with business intelligence and analytics teams
Comfortable working in a remote/distributed work environment requiring excellent verbal, written, and asynchronous communication skills
Knowledge of data science principles, statistics, or machine learning can be beneficial but should not be considered a required skill set