Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDThe Software Integration Engineer serves as the primary customer-facing operations point of contact for the mission customer. In this role, the engineer is responsible for managing operational request triage, gathering and scoping complex technical requirements, and providing standby support for ad-hoc critical thinking and problem-solving requests. The position blends hands-on Linux system administration, software integration, Big Data analytics frameworks, container orchestration, and Infrastructure as Code (IaC) automation to ensure continuous mission support and system reliability.
The annual base salary range for this role is $186,000-$220,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required SkillsLinux System Administration: Deep hands-on experience with the Linux CLI, service management, configuration management, provisioning, storage, and networking sustainment.
Scripting & Automation: Strong proficiency writing scripts in
Shell,
Bash, and
Python for system automation and operational tasks.
Software Integration: Proven background installing, configuring, and supporting COTS, GOTS, and FOSS software libraries and packages within Linux systems.
Big Data & Analytics Frameworks: Direct experience managing stream and batch data processing using frameworks such as
Apache Spark.
Containerization & Orchestration: Hands-on experience with
Docker and deploying/managing containerized services under
Kubernetes orchestration.
Infrastructure as Code (IaC) & CI/CD: Experience with IaC principles and tools such as
Ansible, alongside continuous integration/delivery tools like
GitLab CI.
System Monitoring: Demonstrated expertise using monitoring and metrics visualization platforms, specifically
Prometheus and
Grafana.
Version Control: Experience using
Git for source code management, branching strategies, and collaborative development workflows.
Education:
Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS
8+ years of specialized data analytics or financial intelligence experience OR
High School Diploma / GED, PLUS
13+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.
Desired Skills- Atlassian Suite: Hands-on experience using JIRA and Confluence for task tracking, issue management, and technical documentation.
