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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.
Job Responsibility:
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
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 have:
Skilled in multiple programming languages
Familiar with Python data science libraries (NumPy, pandas, SciPy, etc.)
Experience working with Python web frameworks (FastAPI, Flask, etc.)
Managed secure container registries and applied image hardening best practices
Familiar with cloud platforms (AWS, GovCloud, Azure, or GCP)
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)