Software Integration Engineer II

Reflexive Concepts is seeking a skilled Software Integration Engineer to join our team! The Software Integration Engineer shall develop software Tools and Services in a PaaS Linux environment supporting an 'on-prem' cloud offering with open source software using Kubernetes, Docker, Rook and other cutting edge software. Expertise and desire to work in a containerized landlord/tenant environment is essential. The Software Integration Engineer shall support the development of Tools and Services that increase the efficiency of software to production within a DevOps culture. Required: Bachelor's Degree in Computer Science or related field and have at least six (6) years of demonstrable experience with integrating, installing, configuring, upgrading, compiling, and supporting COTS/GOTS software in a heterogeneous operating system environment. OR The individual shall have five (5) years full-time Computer Science directly related work that can be substituted for a degree and have six (6) years of demonstrable experience with integrating, installing, configuring, upgrading, compiling, and supporting COTS/GOTS software in a heterogeneous operating system environment. Position Required Skills Experience with Linux CLI Experience writing scripts using Bash/Python General technical knowledge regarding compute, network, memory, and storage system components Experience with IaC (Infrastructure as Code) principles and automation tools such as SaltStack, Puppet, and Ansible In-depth experience with trouble-shooting large Linux Clusters Demonstrated experience using system monitoring tools such as Prometheus/Grafana Experience with containerization technologies such as Docker Demonstrated experience administrating/monitoring Kubernetes clusters Experience with the Atlassian Tool Suite (JIRA, Confluence) Experience using Git for version control Position Desired Skills Experience using Helm to deploy Kubernetes applications Experience using GitLab CI/CD pipelines Familiar with Site Reliability Engineering (SRE) principles and applications