Software Engineer - Analytics & Development (TS/SCI)

CACI; Jessup (MD); On-site; USD 103,800 - 218,100; Full time

Job summary

CACI is seeking a Software Engineer focused on Analytics & Development to design software tools, manage implementations, and improve analytic environments. The role emphasizes reusable software, formal specs, data flow modeling, and cost/schedule estimation.

Candidates should hold TS/SCI with Polygraph and have experience with Kubernetes, Spark, AirFlow, Docker, Linux, and AWS, plus cybersecurity fundamentals. The position requires strong problem solving and documentation practices.

Qualifications

• Active TS/SCI with polygraph clearance.
• Proficiency in Kubernetes, Apache Spark, Apache AirFlow, and Docker Container Management (Registry/Harbor).
• Strong knowledge of Linux and AWS.
• Solid understanding of Cyber Security principles.
• Networking knowledge (Routers/Firewalls).
• Education and experience requirements span multiple degree levels in technical fields related to labor category.
• All diplomas and degrees must be from accredited institutions.

Responsibilities

• Design software tools and subsystems to facilitate software reuse and domain analyses.
• Manage the implementation of designed tools using formal specifications, data flow diagrams, and CASE tools.
• Estimate software development costs and schedules accurately.
• Review and refine existing programs to reduce operating time and improve techniques.
• Monitor the health and status of the analytic environment.
• Perform security patching and updates.
• Maintain up-to-date documentation.
• Automate routine tasks through scripting.
• Evaluate and recommend solutions based on open-source or commercial options.

Skills

TS/SCI w/ Polygraph

Kubernetes

Apache Spark

Apache AirFlow

Docker Container Management

Linux

AWS

Cyber Security

Networking

Education

High School Diploma/GED

Associate’s Degree

Bachelor’s Degree

Master’s Degree

Doctorate’s Degree

Tools

Docker Container Management

Job description

CACI is seeking a Software Engineer focused on Analytics & Development to design software tools, manage implementations, and improve analytic environments. The role emphasizes reusable software, formal specs, data flow modeling, and cost/schedule estimation.

Candidates should hold TS/SCI with Polygraph and have experience with Kubernetes, Spark, AirFlow, Docker, Linux, and AWS, plus cybersecurity fundamentals. The position requires strong problem solving and documentation practices.