Type of Requisition:
Regular

Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

Public Trust/Other Required:
None

Job Family:
Software Engineering

Job Qualifications:

Skills:
Bash (Scripting Language), Docker (Software), Kubernetes, Linux Command
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
Yes

Job Description:

SOFTWARE INTEGRATION ENGINEER

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
• Experience with containerization technologies such as Docker/Podman
• 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)

The likely salary range for this position is $176,800 - $239,200. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Onsite

Work Location:
USA MD Annapolis Junction

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.