DevOps Engineer - TS/SCI w/ Poly required

Chantilly, VA, US • Posted 17 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AS/400 Control Language
  • Common Lisp
  • Continuous Delivery
  • Jenkins
  • Terraform
  • Amazon EC2
  • Amazon S3
  • Remote Desktop Services
  • Amazon RDS
  • Virtual Private Cloud
  • Docker
  • Scripting
  • Bash
  • Python
  • Hosting
  • Recovery
  • High Availability
  • Performance Tuning
  • PostgreSQL
  • MySQL
  • Open Source
  • COTS
  • Network Security
  • Git
  • Workflow
  • Version Control
  • Apache Spark
  • Apache Ranger
  • Apache HTTP Server
  • Management
  • Disaster Recovery
  • Backup
  • API
  • Microservices
  • Optimization
  • Amazon Web Services
  • Machine Learning (ML)
  • Mentorship
  • DevOps
  • Cloud Computing
  • NoSQL
  • Database
  • Amazon DynamoDB
  • MongoDB
  • Grafana
  • Enterprise Services
  • Information Technology
  • Management Consulting
  • Training

Summary

* 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 PrometheAlertmanager 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 PrometheAlertmanager 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!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10506397
  • Position Id: 757d1319f0f4c225a690b5bd5f42d8e8
  • Posted 17 hours ago
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