Skip to main content

Captivation Software

Cloud Software Engineer 2 - MapReduce/Hadoop/Linux/Java/AWS

Annapolis Junction, MD$130k–$270kfull-timemidAdded today

About this role

Mid-level cloud software engineer role focused on distributed computing and data processing using Hadoop, MapReduce, and AWS. Requires Top Secret/SCI security clearance and expertise in Java, Linux, and cloud infrastructure to support mission-critical applications.

What you'll do

  • Design and develop cloud-based applications using Hadoop and MapReduce frameworks
  • Build scalable data processing solutions on AWS infrastructure
  • Develop and maintain applications in Linux/UNIX environments
  • Work with Accumulo databases for distributed data storage
  • Collaborate with engineering teams on innovative solutions
  • Support mission-critical government systems

What they're looking for

  • Hadoop
  • MapReduce
  • Java
  • AWS
  • Linux/UNIX
  • Accumulo
  • Ruby on Rails
  • Cloud application development

Benefits

  • Annual salary $130,000–$270,000 based on experience
  • Up to 20% 401k contribution (vested immediately)
  • $3,600 HSA contribution
  • 6 weeks paid time off
  • Comprehensive medical, dental, vision, life insurance
  • Short-term and long-term disability coverage
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

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 designing and deploying applications on AWS using Hadoop and MapReduce.
  • Describe a complex data processing problem you solved using Hadoop—what challenges did you encounter?