Job Requirements
Chantilly, VA
Top Secret/SCI Full Scope Polygraph
Career Level not specified
Salary not specified
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Job Description
Job 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.
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.
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
• 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
Required Skills
Requirements:
• 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
Desired Skills
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
Additional Details
What we offer:
• Flexible time off
• Full medical coverage
• 401(k) with company match
• Referral bonuses
• Performance bonuses
• Life insurance and disability coverage
• Tuition and training reimbursement
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.
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.
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
• 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
Required Skills
Requirements:
• 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
Desired Skills
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
Additional Details
What we offer:
• Flexible time off
• Full medical coverage
• 401(k) with company match
• Referral bonuses
• Performance bonuses
• Life insurance and disability coverage
• Tuition and training reimbursement
group id: 91165268
