DevOps Engineer - Software Developer | Active Clearance

MRSL Real-Time Systems Laboratory•Sarasota, FL

14h

About The Position

We're hiring a Software Developer with DevOps experience to help design, build, and support mission-focused applications for the Intelligence Community. You'll join a small, highly experienced engineering team building and modernizing secure, high-availability systems used by geographically distributed users.

Requirements

Active TS clearance required, TS/SCI preferred
Bachelor's or Master's in Computer Science, Engineering, or related field
2–10 years of experience building, deploying, and maintaining production software
Proficient in Linux/Unix (Rocky, RHEL, or similar)
Skilled in Python (preferred) or other languages such as C/C++ or Java
Experience with Docker, Kubernetes, and Helm
Understanding of DevSecOps principles and practices
Hands-on CI/CD experience (GitLab, Jenkins, GitHub Actions, or similar)
Familiarity with cloud platforms (AWS, AWS GovCloud, Azure, or GCP)
Git version control experience
Strong problem-solving, collaboration, and communication skills
CompTIA Security+ (or ability to obtain within 30 days of hire)

Nice To Haves

Multiple programming languages
Python data science libraries (NumPy, pandas, SciPy)
RESTful microservices experience (FastAPI, Spring Boot)
Legacy system refactoring into containerized/microservice architectures
Understanding of horizontal/vertical scaling
ETL pipeline and RabbitMQ/message broker experience
Database optimization and administration
Agile workflow experience (Jira, sprints)
Security/quality scanning tools (SonarQube, NexusIQ, Trivy)
Infrastructure-as-Code (Terraform, Ansible, CloudFormation)
Monitoring/observability tools (Prometheus, Grafana, ELK)
AWS DevOps Engineer, CKA, or CKAD certifications
Prior experience supporting DoD or IC mission systems

Responsibilities

Join a small, experienced team enhancing and modernizing cloud architectures supporting key operations
Design, develop, and deploy scalable applications in containerized environments (Docker, Kubernetes)
Build and maintain CI/CD pipelines for reliable software delivery
Develop and optimize ETL pipelines for data processing
Configure and maintain message queuing systems (RabbitMQ or similar)
Write Python scripts to automate infrastructure and deployment tasks
Monitor system performance and drive improvements to reliability and efficiency
Collaborate with developers on deployment and infrastructure best practices
Promote clarity and maintainability through clean design and lightweight documentation

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