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Employee
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DevOps with Security Clearance
Navon Technologies LLCChantilly, VA🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
Hybrid
Schedule
Employee
Level
Mid Senior
Job Description
DevOps Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications Mandatory Skills • Hands-on experience writing, testing, and maintaining Infrastructure as Code with Terraform (required) and CloudFormation (required)
• Hands-on experience configuring, managing, and troubleshooting AWS services including EC2, Lambda, S3, RDS, VPC, Security Groups, NACLs, IAM, CloudWatch, and other core services
• Hands-on experience implementing and managing Cl/CD pipelines (Jenkins preferred, but experience with GitLab Cl, GitHub Actions, or similar acceptable}
• Strong proficiency in Bash (required) and Python (required) scripting
• Hands-on experience with containerization technologies (Docker required)
• Hands-on experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
• Strong understanding of networking fundamentals, security best practices, IAM policies, and AWS
architecture best practices
• Hands-on experience with Git-based workflows, branching strategies, and version control best practices
• Hands-on experience with monitoring, logging, and alerting systems (Prometheus/Alertmanager, CloudWatch, or similar)
• Hands-on experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL) Optional Skills • Experience with secrets management solutions (AWS Secrets Manager, or similar)
• Knowledge of disaster recovery, backup strategies, and continuity planning
• Familiarity with API gateways and modern microservices patterns
• Experience with cost optimization practices in AWS
• Experience deploying and managing data platform components: Apache Spark, Trina, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
• Familiarity with data lakehouse architectures and supporting infrastructure
• Background deploying and supporting Al/ML workloads or model serving infrastructure
• Experience mentoring team members on DevOps and cloud best practices
• Familiarity with additional monitoring tools (Grafana, ELK stack)
• Experience integrating customer's Enterprise services (SSO, etc.)
• Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
• Hands-on experience configuring, managing, and troubleshooting AWS services including EC2, Lambda, S3, RDS, VPC, Security Groups, NACLs, IAM, CloudWatch, and other core services
• Hands-on experience implementing and managing Cl/CD pipelines (Jenkins preferred, but experience with GitLab Cl, GitHub Actions, or similar acceptable}
• Strong proficiency in Bash (required) and Python (required) scripting
• Hands-on experience with containerization technologies (Docker required)
• Hands-on experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
• Strong understanding of networking fundamentals, security best practices, IAM policies, and AWS
architecture best practices
• Hands-on experience with Git-based workflows, branching strategies, and version control best practices
• Hands-on experience with monitoring, logging, and alerting systems (Prometheus/Alertmanager, CloudWatch, or similar)
• Hands-on experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL) Optional Skills • Experience with secrets management solutions (AWS Secrets Manager, or similar)
• Knowledge of disaster recovery, backup strategies, and continuity planning
• Familiarity with API gateways and modern microservices patterns
• Experience with cost optimization practices in AWS
• Experience deploying and managing data platform components: Apache Spark, Trina, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
• Familiarity with data lakehouse architectures and supporting infrastructure
• Background deploying and supporting Al/ML workloads or model serving infrastructure
• Experience mentoring team members on DevOps and cloud best practices
• Familiarity with additional monitoring tools (Grafana, ELK stack)
• Experience integrating customer's Enterprise services (SSO, etc.)
• Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
Skills
Docker
DynamoDB
Microservices
MongoDB
MySQL
AWS
ELK
SSO
Apache
Apache Spark
Bash
CloudFormation
Git
GitHub Actions
Grafana
Jenkins
PostgreSQL
Prometheus
Python
Terraform
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