DevOps Engineer

Gateway Geospatial Group
St. Louis, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

St. Louis, United States of America

Tech stack

Artificial Intelligence
Automation of Tests
Cloud Computing
Configuration Management
Continuous Integration
Database Development
DevOps
Disaster Recovery
Geospatial Intelligence
Monitoring of Systems
Data Logging
Gitlab
SC Clearance
Containerization
Kubernetes
Infrastructure Automation Frameworks
Deployment Automation
Machine Learning Operations
Api Gateway
Docker
Jenkins
Vulnerability Analysis
Microservices

Job description

Implement and maintain cloud-native infrastructure and CI/CD pipelines for enterprise geospatial intelligence platforms. Ensure scalable deployment, security compliance, and operational reliability across complex technical environments., * Design and implement Kubernetes-based infrastructure in government cloud environments

  • Develop comprehensive CI/CD pipelines for automated testing and deployment
  • Implement container orchestration and microservices deployment strategies
  • Configure monitoring, logging, and alerting systems for operational oversight
  • Implement security scanning, compliance validation, and automated quality controls
  • Design horizontal scaling capabilities for enterprise-scale applications
  • Manage database deployment and optimization across multi-technology architectures
  • Implement backup, recovery, and disaster recovery procedures

Requirements

  • Secret clearance (minimum, TS/SCI preferred)
  • 6+ years experience with DevOps practices and cloud-native technologies
  • Expert-level knowledge of Kubernetes, Docker, and container orchestration
  • Experience with CI/CD pipeline development and infrastructure automation
  • Proficiency with GitLab, Jenkins, or similar DevOps platforms
  • Knowledge of infrastructure as code and configuration management
  • Experience with monitoring tools and log aggregation systems
  • Understanding of security compliance and government authorization processes, * Experience with government cloud platforms and security requirements
  • Knowledge of enterprise API gateway and authentication integration
  • Experience with multi-database deployment and optimization
  • Background supporting AI/ML infrastructure and specialized workloads
  • Familiarity with intelligence community compliance frameworks

Apply for this position