Cloud Software Engineer - TS/SCI w/Poly
Job Locations: US-MD-Laurel
Requisition ID: 2025-162223
Position Category: Engineering
Clearance: Top Secret/SCI w/Poly
Responsibilities
- Design, develop, and enhance new software capabilities in an agile environment
- Build and optimize high-performance, scalable systems deployed across large compute clusters
- Test, tune, and improve system performance and reliability
- Support operational and sustainment activities for deployed products
- Collaborate closely with engineers, stakeholders, and mission partners throughout the software lifecycle
What You Bring
- Strong experience with Java, particularly for distributed, multi‑threaded systems
- Hands‑on expertise with Infrastructure as Code (IaC) tools such as Ansible and Puppet
- Solid experience with CI/CD pipelines, automated testing, deployment, and monitoring
- Familiarity with Agile development practices and modern source control tools
- Strong Linux fundamentals and proficiency in at least one scripting language (e.g., Python, Ruby, or Perl)
- Experience or working knowledge of microservices architectures
- Familiarity with containerization technologies such as Docker and Kubernetes
- Hadoop/Cloud Developer Certification
- Willingness to participate in a rotating Tier III on‑call support schedule
Work Environment
This role is based on‑site at the customer's location in Laurel, MD. Regular telework is not typically supported; occasional ad‑hoc telework may be available for qualified team members based on project needs.
Qualifications
- Active TS/SCI clearance with current polygraph
- 6+ years of professional software engineering experience across the full development lifecycle
- 4+ years of hands‑on development with Java, C, or C++
- 3+ years of experience with software integration and testing, including test plan and script development
- 3+ years of development experience on UNIX/Linux systems
- Bachelor's degree in Computer Science or a related technical field (or equivalent experience) equals 3 years of experience toward the above requirements
- Master's degree may substitute for 5 years of experience toward the requirements
- Must have, or obtain, one of the following certifications prior to starting:
- AWS Certified Developer – Associate
- AWS Certified Machine Learning – Associate or Specialty
- AWS DevOps Engineer – Professional
- Certified Kubernetes Application Developer (CKAD)
Preferred Experience
- Big data and open‑source technologies: Hadoop, Accumulo, NiFi
- Databases and messaging: MongoDB, ActiveMQ (or similar)
- Frameworks and scripting: Spring, Python, Bash
- AWS and hybrid cloud environments
- Knowledge of security and compliance best practices
Target Salary Range
$135,000 – $216,000. Typical salary range; may include overtime, shift differential, and discretionary bonus in addition to base pay.
EEO
Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.