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📍 Chantilly, VA

DevOps Engineer

📍 On-site ⚙️ DevOps full time Mid Level
Required Skills
About the Role

DevOps Engineer - TS/SCI w/ Poly required

Location: Chantilly, Virginia, United States

Department: Government

Workplace: on_site

Employment Type: full

Description

* Active TS/SCI w/ FS Poly REQUIRED

Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications - DevOps position

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

Requirements

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

Benefits

Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!

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