VG DevOps Engineer
Summary
On-site DevOps engineer in McLean, VA (active TS/SCI with polygraph required) supporting enterprise mission systems for a government-facing team. Day to day: building CI/CD pipelines (Jenkins), managing AWS infrastructure with Terraform, containerizing apps, scripting in Bash/Python, self-hosting PostgreSQL/MySQL, and running monitoring/alerting with Prometheus and CloudWatch.
PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph
Position Code: 03-SO0402-1
Location: McLean, VA
Job Description:
Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications.
Mandatory Skills:
- Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)
- Strong proficiency with Infrastructure as Code tools: Terraform (required)
- Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
- Demonstrated experience with containerization (such as Docker and Pod man)
- Strong scripting proficiency: Bash (required) and Python (required)
- Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
- Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
- Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
- Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
- Experience with Git-based workflows, branching strategies, and version control best practices
Optional Skills:
- Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
- Familiarity with data lakehouse architectures and supporting infrastructure
- Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
- Knowledge of disaster recovery, backup strategies, and continuity planning
- Familiarity with API gateways and modern microservices patterns
- Experience with cost optimization practices in AWS
- Background deploying and supporting Al/ML workloads or model serving infrastructure
- Experience mentoring team members on DevOps and cloud best practices
- Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
- Familiarity with additional monitoring tools (Grafana, ELK stack)
- Experience integrating customer's Enterprise services
