DevOps (AI Tools/Design Systems)
Insight Global
Job Description
Insight Global is seeking to hire DevOps Engineer with a concentration in AI powered tooling or design systems experience. Candidates will be aligned to a AI team focused to deliver 8 AI tools that will help drive efficiencies within the internal design system team. This person will be good at debugging issues, pushes to solution when roadblocks are hit and good at networking across platforms to drive solutions forward.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
7+ years of experience in a DevOps environment
Experience with CI/CD pipelines
In-depth AWS Knowledge: experience that goes beyond simple tasks like using S3 buckets.
Multiple Databases: They should have experience with more than one type of database, such as both SQL and Mongo.
API Creation: well-versed in creating APls.
Server Networking: good at networking between servers, including tasks like opening and closing ports.
Database Management: This includes properly structuring databases, ensuring they are efficient, and handling autoscaling.
Linux: Strong experience with Linux is "huge," including working in the terminal and provisioning volumes.
EKS: Familiarity with EKS is needed, as it's where the front-end and API infrastructure is located.
Generative Al experience or Design Systems experience
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