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Captivation Software

Software Engineer 2 (Hybrid) - AWS/Hadoop/Accumulo/Terraform/Python/Java

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

About this role

Captivation Software seeks a mid-level Software Engineer to develop cloud-based solutions using AWS managed services and big data technologies. This hybrid role in Annapolis Junction, MD requires expertise in distributed systems and infrastructure-as-code, supporting mission-critical government applications.

What you'll do

  • Develop and maintain applications on AWS using managed services
  • Design and implement data processing solutions with Hadoop and Accumulo
  • Write infrastructure-as-code using Terraform for cloud deployments
  • Build backend services in Java and Python
  • Collaborate with team to deliver high-quality, innovative solutions
  • Support government programs requiring security and compliance standards

What they're looking for

  • AWS
  • Hadoop
  • Accumulo
  • Terraform
  • Java
  • Python
  • Big data technologies
  • Infrastructure-as-code

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
  • Fully company-paid medical, dental, vision, and life insurance
  • Short-term and long-term disability coverage
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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.

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Likely interview questions

  • Describe your experience architecting and deploying applications on AWS managed services—which services have you used most?
  • How have you used Hadoop and Accumulo in previous projects, and what challenges did you encounter with distributed data processing?
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