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