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Captivation Software

Software Engineer 2 - Java/MapReduce/Cloud/GhostMachine/QTA

Annapolis Junction, MD$130k–$270kmidAdded today

About this role

Captivation Software seeks a mid-level Java engineer with 14 years of experience to develop solutions supporting national security missions. The role requires expertise in MapReduce, cloud platforms, GhostMachine, and QTA, along with an active Top Secret/SCI clearance.

What you'll do

  • Develop and maintain Java-based applications using MapReduce for distributed data processing
  • Design and implement cloud-based solutions for intelligence and defense applications
  • Work with GhostMachine and QTA technologies to deliver mission-critical software
  • Participate in software development on programs with similar scope and complexity
  • Collaborate with engineering teams to innovate and deliver timely solutions
  • Support national security initiatives through high-quality software development

What they're looking for

  • Java programming
  • MapReduce and distributed computing
  • Cloud platforms and architecture
  • GhostMachine
  • QTA
  • Software engineering best practices
  • Government/defense sector experience
  • Security-cleared development

Benefits

  • Annual salary $130,000–$270,000 based on experience
  • Up to 20% 401(k) contribution vested from day one
  • $3,600 HSA contribution
  • 6 weeks paid time off
  • Company-paid medical, dental, vision, life, and disability insurance
  • Above-market hourly rates
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Captivation Software

Captivation Software builds high-performance computing and secure analytics infrastructure for mission-critical government programs, specializing in HPC testing, enterprise dataflow architectures, and cleared defense systems. The company is hiring senior test engineers, systems engineers, and technical leaders with deep expertise in Linux, cloud infrastructure, and security clearances to validate systems and architect solutions for intelligence community operations.

View all jobs at Captivation Software

Likely interview questions

  • Walk us through your experience with MapReduce and how you've optimized data processing pipelines in previous projects.
  • Describe your hands-on experience with GhostMachine and QTA—what specific challenges have you solved using these tools?
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