Software Integration Engineer 3
Job Qualifications
- Bash (Scripting Language)
- Docker (Software)
- Kubernetes
- Linux Command
- Certifications: None
- Experience: 8 + years of related experience
- US Citizenship Required: Yes
Job Description
Transform technology into opportunity as a Software Integration Engineer at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career.
MEANINGFUL WORK AND PERSONAL IMPACT
The Software Integration Engineer shall be responsible for the administration, maintenance, and operational support of the Platform-as-a-Service (PaaS) component of the CASA Compute Environment (CCE). The CCE provides secure, multi-tenant, high-performance, and highly available Kubernetes clusters operating within a Linux-based infrastructure.
Tasking shall ensure platform reliability, scalability, security compliance, and optimal cluster performance in support of mission and application requirements.
What You’ll Need To Succeed
Bring your engineering expertise along with a drive for innovation to GDIT. The Software Integration Engineer must have:
- Education: Technical Training, Certification(s) or Degree
- Security clearance required: Active TS/SCI w/ polygraph
- Experience: 8+ years of related experience
Position Required Skills
- Experience using the Linux CLI and Linux suite of tools
- Experience developing scripts using Bash/Python
- Demonstrated experience administrating and monitoring Kubernetes clusters
- Experience troubleshooting and resolving issues related to Kubernetes workloads (ingress, performance, networking, storage, etc.)
- Experience with IaC principles, concepts, and methodologies using automation tools including Ansible
- Experience writing, deploying, and maintaining Helm Charts
- Experience using system monitoring tools such as Prometheus /Grafana
- Experience using Git for source code management, branching strategies, and team collaboration
Position Desired Skills
- Experience with the Atlassian Tool Suite (Jira, Confluence, etc.)
- Experience working in a DevOps environment that uses Agile principles and methodologies
- Experience with or willingness to learn development of Python applications (REST services, microservices, etc.)
- CKA (Certified Kubernetes Administrator)