Job Duties

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

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.

Required Qualifications

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

Bonus Points

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

MRSL REAL-TIME SYSTEMS LABORATORY, INC.

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