Devops engineer

Machine Learning Technologies, LLC; Pennsylvania; On-site; USD 110,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a hands-on AWS DevOps Engineer specializing in Kubernetes and Rocket Vertica to support our cloud infrastructure in Pennsylvania.You will manage AWS services, administer EKS, and perform Vertica administration, upgrades, and tuning, while implementing CI/CD automation and robust monitoring.Applicants should bring Linux admin skills and scripting in Shell/Python, with experience in backup, disaster recovery, and incident response.

Qualifications

• Hands-on AWS DevOps Engineer with Kubernetes and Rocket Vertica experience.
• Strong Linux administration and Shell/Python scripting skills.
• Experience with production monitoring, high availability, backup/recovery, and incident response.

Skills

AWS

Kubernetes

Rocket Vertica

CI/CD automation

Linux

Python scripting

Tools

CloudFormation

CI/CD tools

Job description

• Looking for a hands-on AWS DevOps Engineer specializing in Kubernetes and Rocket Vertica.
• Strong expertise in AWS infrastructure, Kubernetes administration, Vertica platform support, and DevOps automation is essential.
• Strong hands-on experience with AWS Cloud infrastructure and services.
• Expertise in Kubernetes/EKS administration and troubleshooting.
• Hands-on experience with Rocket Vertica administration, upgrades, and support.
• Experience with CloudFormation and CI/CD tools.
• Strong Linux administration and Shell/Python scripting skills.
• Experience with production monitoring, performance tuning, HA, backup/recovery, and incident support.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.