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Posted 1mo ago

VG DevOps Engineer

@ Probity
McLean, Virginia, United States
OnsiteFull Time
Responsibilities:designing systems, maintaining networks, deploying applications
Requirements Summary:CI/CD pipelines (Jenkins); Terraform; AWS (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch); Docker/Podman; Bash; Python; PostgreSQL/MySQL; Prometheus/Alertmanager/CloudWatch; Git workflows.
Technical Tools Mentioned:Jenkins, Terraform, Docker, Podman, Bash, Python, PostgreSQL, MySQL, Prometheus, Alertmanager, CloudWatch, Git, AWS
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Job Description

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