Senior Cloud Engineer — TS/SCI with Poly (Onsite)

Peraton; Laurel (MD); On-site; USD 176,000 - 282,000; Full time

Benefits offered by this job

25 days PTO

Enhanced employee benefits

Bonus plan eligibility

Job summary

Peraton is seeking a Senior Cloud Software Engineer (TS/SCI with Poly) to join the Data Warehouse Platforms Engineering Shared Services & Software Development team in Laurel, MD. The role focuses on agile software design and development for products deployed across large-scale compute clusters, including design, testing, optimization, and ongoing operations.

You will operate with a high degree of independence across the full SDLC, providing guidance and mentoring while contributing to tasks,

Qualifications

• Bachelor's degree in Computer Science or a related technical field.
• Minimum of 8 years in software development/engineering including requirements analysis, development, integration, testing, and troubleshooting.
• At least 6 years in Java/C/C++ development.
• At least 5 years in UNIX/Linux (RedHat-based) environments.
• At least 3 years in software integration and testing with test plans.

Responsibilities

• Design and implement scalable solutions including integration of COTS and GOTS products.
• Troubleshoot complex issues while optimizing system performance.
• Provide technical guidance and mentorship to junior engineers.
• Contribute to project planning with Task definitions and timelines.
• Develop test cases, SOPs, and maintain technical documentation.
• Review system designs for accuracy, completeness, and scalability.

Skills

Java development

Linux fundamentals

Python scripting

CI/CD

Cloud concepts

Education

Bachelor's degree in CS/related field

Tools

Ansible

Puppet

Kubernetes

Docker

AWS

Hadoop

Job description

Peraton is seeking a Senior Cloud Software Engineer (TS/SCI with Poly) to join the Data Warehouse Platforms Engineering Shared Services & Software Development team in Laurel, MD. The role focuses on agile software design and development for products deployed across large-scale compute clusters, including design, testing, optimization, and ongoing operations.

You will operate with a high degree of independence across the full SDLC, providing guidance and mentoring while contributing to tasks,