Job Description
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
The DevOps Software Engineer is responsible for overseeing and monitoring live production operations to maintain the availability, high reliability, and performance of the software application suite. In this production-focused role, the engineer actively identifies, diagnoses, and responds to service disruptions, performance degradations, and operational incidents. By combining hands-on system administration, Python/Bash automation, distributed monitoring, and CI/CD workflows, the engineer supports continuous service delivery, performs system sustainment, and collaborates across software engineering and operations teams to elevate overall system health and efficiency.
The annual base salary range for this role is $178,000-$210,000 (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 Skills
Linux Administration: Hands-on experience navigating and administering Linux systems via the CLI and standard Linux tools.
Scripting & Software Development: Strong scripting experience in Bash alongside recent software development experience in Python 3.x.
Database Management: Practical experience administering and interacting with NoSQL databases, specifically MongoDB.
Containerization Technologies: Direct experience packaging and runtime management of applications using Docker and containerd.
CI/CD Methodologies: Solid background in CI/CD principles, workflows, and tools, with hands-on experience using GitLab CI.
Distributed Logging & Observability: Demonstrated experience implementing and using logging/monitoring toolsets, including the ELK Stack and Prometheus/Grafana.
Container Orchestration & Helm: Familiarity with Kubernetes platform management and using Helm Charts to package and deploy containerized services.
Messaging Systems: Familiarity with message broker frameworks, specifically RabbitMQ.
Infrastructure as Code (IaC): Understanding of IaC concepts and experience with configuration management tools such as Ansible.
Version Control: Proficiency with the Git source control system for version tracking and collaborative code management.
Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 5+ years of specialized data analytics or financial intelligence experience OR Master's Degree in a related field, PLUS 3+ years of specialized analytical experience OR High School Diploma / GED, PLUS 7+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.
Desired Skills
Relational Databases: Experience working with SQL databases, particularly PostgreSQL.
Agile Workflows & Tooling: Hands-on experience using the Atlassian Tool Suite, including Jira and Confluence, for issue tracking and team documentation.