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# Cloud DevOps Engineer - TS/SCI w/ Poly

- **Company:** General Dynamics Information Technology
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Salary:** $158,855.0 - $214,921.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Apache Tomcat, Bash Shell, Unix, Cipher, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Linux, DevOps, Distributed Systems, Elasticsearch, Github, Icinga, Identity and Access Management, Python (Programming Language), Key Management, Log Analysis, MySQL, OpenSSL, Performance Tuning, Public Key Infrastructure, Aws Command Line Interface (CLI), Logstash, Apache Solr, Software Vulnerability Management, Web Applications, Apache Zookeeper, Scripting, Transport Layer Security, Enterprise Software Applications, Cloud Platform System, Delivery Pipeline, AWS Lambda, Amazon Virtual Private Cloud (VPC), Gitlab, Cloudformation, Kubernetes, Information Technology, Functional Programming, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Appdynamics, Serverless Computing, Docker, Jenkins, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466873457&tx=KR7171FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Apache Tomcat,Cloud Development,Linux,Scripting Languages,Unix Operating Systems

Experience:

10 + years of related experience, * Strong Linux/Unix administration and distributed systems troubleshooting experience.

 * Strong experience supporting enterprise web applications (Tomcat).
 * Strong experience with AWS EC2, S3, IAM, Security Groups, SQS, Lambda, STS, Availability Zones.
 * Strong experience with CloudWatch, ELK, Logstash, Elasticsearch, Icinga, AppDynamics.
 * Strong experience with Docker and Kubernetes.
 * Strong scripting skills (Java, Python, Bash, Shell).
 * Strong CI/CD experience with Jenkins, GitHub, GitLab.
 * Strong experience with Terraform and CloudFormation.
 * Strong experience with TLS/SSL, PKI, OpenSSL, encryption ciphers.
 * Strong experience with serverless applications and microservices.
 * Strong AWS CLI proficiency.
 * Experience with MySQL or similar databases.
 * Preferred experience working with Solr and Zookeeper clusters., * Education: Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.

## Description

We are seeking a Cloud DevOps Engineer with proven experience supporting enterprise web applications and cloud based infrastructure. The Cloud DevOps Engineer role is responsible for providing hands on OS level support, troubleshooting, and maintenance of cloud hosted systems and enterprise applications.

Success in this role depends on strong Linux/Windows administration skills, deep cloud engineering expertise, and the ability to independently execute upgrades, monitoring, troubleshooting, and implementation activities within AWS environments. This is a hands on engineering position and a primary contributor to the day to day success of program operations., * Cloud Operations & Support:

 * Troubleshoot and support AWS environments (EC2, S3, IAM, Lambda, VPC).
 * Perform advanced OS upgrades, patching, and system health checks.
 * Manage SQS queues, serverless apps, and microservices.
 * Monitoring & Troubleshooting:
 * Operate observability stacks (CloudWatch, ELK, AppDynamics).
 * Analyze logs and telemetry for performance optimization and RCA.
 * Automate tasks with Python, Bash, or Shell.
 * Automation & CI/CD:
 * Develop automation scripts, and manage CI/CD pipelines (Jenkins, GitHub).
 * Implement Infrastructure as Code (Terraform, CloudFormation).
 * Security & Governance:
 * Manage TLS/SSL certificates, secrets, and PKI processes.
 * Support AWS KMS, IAM, and vulnerability remediation efforts.
 * Maintain security accreditation and documentation.
 * Containers & Cloud Operations:
 * Deploy and optimize Kubernetes workloads, Docker containers, and AWS Lambda functions.
 * Improve container build pipelines and troubleshoot complex runtime issues.