Cloud DevOps Engineer with Security Clearance

Duties & Responsibilities

• Manage, maintain, and optimize distributed data platforms including Elasticsearch clusters and MongoDB replica sets
• Support scalability, performance tuning, upgrades, and reliability of production data systems
• Design and implement infrastructure automation and deployment solutions using DevSecOps practices
• Support software development teams by providing reliable CI/CD pipelines, environments, and operational tooling
• Develop automation and operational scripts using Bash and Python
• Maintain system health, performance, and availability across cloud and on-prem environments
• Solve system configuration, troubleshooting, and incident resolution for production services
• Collaborate with engineering teams to ensure scalable and secure system design
• Work with structured data formats (including JSON) across services and integrations
• Contribute to system security, compliance, and architecture alignment with organizational standards

Required Skills

• 7+ years of overall IT experience across system administration, software engineering, or DevSecOps engineering
• 2+ years of experience managing Elasticsearch clusters, MongoDB replica sets, or similar distributed data systems
• 3+ years of experience supporting software development teams and production environments
• 2+ years of experience with scripting in Bash and Python
• Strong experience working with distributed systems, cloud infrastructure, and automation tools
• Experience operating in production environments with focus on reliability and performance

Preferred Qualifications

• 15+ years of overall IT experience across systems, engineering, or DevSecOps roles
• 5+ years of experience in a DevSecOps, Cloud Engineering, or Platform Engineering role
• Hands-on experience managing, upgrading, and scaling Elasticsearch clusters
• Experience with Elasticsearch index design, query optimization, and performance tuning
• Experience migrating Elasticsearch data across different sharding strategies
• Experience with MongoDB replication, sharding, and cluster architecture design
• Strong experience working with JSON-based data structures and APIs
• Experience with infrastructure automation tools such as CloudFormation, Jenkins, and Git-based workflows
• Familiarity with AI-based or ML-enabled infrastructure solutions
• Experience supporting Authorization & Accreditation (A&A) processes or compliance environments
• Strong understanding of distributed system design, scalability, and cloud architecture