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# Cloud DevOps Engineer

- **Company:** BOAB Ventures
- **Location:** Chantilly, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Bash Shell, Cloud Computing, Cloud Engineering, System Configuration, Data Infrastructure, Data Structures, Shard (Database Architecture), DevOps, Distributed Data Store, Distributed Systems, Elasticsearch, JSON, Python (Programming Language), MongoDB, Operational Databases, Performance Tuning, Query Optimization, Software Engineering, Scripting, Enterprise Software Applications, Cloudformation, Git Flow, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Data Management, Devsecops, Jenkins
- **Published:** September 19, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9169721/cloud-devops-engineer

## About the Role

The ideal candidate has strong infrastructure engineering experience, a background supporting development teams, and hands-on expertise with scripting, automation, and production-grade system operations., * 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, * 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

## Description

We are seeking a DevOps / Cloud Engineer to design, operate, and scale critical data infrastructure and platform services supporting enterprise applications and development teams. This role focuses on maintaining high-availability distributed systems, enabling secure and automated deployments, and supporting data platforms such as Elasticsearch and MongoDB at scale., * 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
 * Monitor system health, performance, and availability across cloud and on-prem environments
 * Support 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