BT-303 – DevOps Engineer Location: McLean, VA (fully on-site, no remote option)
**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**
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)