Software Engineer with DevOps Exp. (Active Clearance Required)

MRSL Real-Time Systems LaboratoryBeavercreek, OH
7h

About The Position

Join a small, experienced team building, enhancing, and modernizing cloud architectures supporting key operations Design, develop, and deploy scalable applications in containerized environments Write Python scripts to automate tasks and enable ETL pipelines Implement containerized applications into processing chains with Argo Workflows Create and maintain Helm charts for application deployment and configuration Configure and optimize cloud storage solutions including S3 buckets Implement monitoring and observability using Prometheus and Grafana Design and maintain CI/CD pipelines for reliable software delivery Configure and maintain message queuing systems (RabbitMQ, etc.) Monitor performance and improve reliability and efficiency Collaborate with developers to define best practices for deployment and infrastructure Promote clarity and maintainability through clean design and lightweight documentation We are seeking software developers with 2–10 years of experience in DevOps environments to help design, build, and support mission-focused applications. The ideal candidate brings drive, adaptability, and collaboration to a team delivering innovative software solutions for the Intelligence Community and Department of Defense.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field
  • Experience with containerization and orchestration tools (Docker, Kubernetes, Helm)
  • Experience with workflow automation using Argo tools, including Argo Workflows and Argo CD
  • Experience building, deploying, and maintaining production software systems
  • Proficient with Linux/Unix (Rocky, RHEL, or similar)
  • Skilled in Python (preferred) or other modern languages such as C/C++
  • Understanding of DevSecOps principles and best practices
  • Deployed, maintained, and troubleshot applications in Kubernetes clusters
  • Strong problem-solving, collaboration, and communication skills
  • CompTIA Security+ certification (or ability to obtain within 30 days of hire)
  • Active TS clearance required, TS/SCI Preferred

Nice To Haves

  • Programming & Development Skilled in multiple programming languages
  • Familiar with Python data science libraries (NumPy, pandas, SciPy, etc.)
  • Experience working with Python web frameworks (FastAPI, Flask, etc.)
  • DevOps & CI/CD Experience with Agile workflows (Jira, sprints)
  • Hands-on experience creating and maintaining CI/CD pipelines (GitLab, Jenkins, GitHub Actions, etc.)
  • Managed secure container registries and applied image hardening best practices
  • Familiar with cloud platforms (AWS, GovCloud, Azure, or GCP)
  • Data & Messaging Built and maintained ETL pipelines for data processing
  • Worked with RabbitMQ or similar message brokers
  • Experience working with MongoDB for data modeling, querying, indexing, and performance tuning
  • Experience deploying, operating, and monitoring MongoDB, including backups, replication, reliability, and scalability
  • Experience with Grafana for dashboard creation, visualization, and basic alerting.
  • Ability to build and maintain Grafana dashboards using common data source (e.g. Prometheus, InfluxDB, Elasticsearch)
  • Domain & Certifications Experience supporting DoD or IC mission systems
  • Relevant certifications: AWS DevOps Engineer, CKA, CKAD

Responsibilities

  • Building, enhancing, and modernizing cloud architectures
  • Design, develop, and deploy scalable applications in containerized environments
  • Write Python scripts to automate tasks and enable ETL pipelines
  • Implement containerized applications into processing chains with Argo Workflows
  • Create and maintain Helm charts for application deployment and configuration
  • Configure and optimize cloud storage solutions including S3 buckets
  • Implement monitoring and observability using Prometheus and Grafana
  • Design and maintain CI/CD pipelines for reliable software delivery
  • Configure and maintain message queuing systems (RabbitMQ, etc.)
  • Monitor performance and improve reliability and efficiency
  • Collaborate with developers to define best practices for deployment and infrastructure
  • Promote clarity and maintainability through clean design and lightweight documentation
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