DevOps Engineer- Ashburn, VA
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Ellumen
Ashburn, VA (In Person)
$112,500 Salary, Full-Time
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Job Description
DevOps Engineer- Ashburn, VA Ellumen 110-115k United States, Virginia, Ashburn May 11, 2026
DevOps Engineer with Machine Learning and AI expertise Ellumen is a technology-focused company providing next-generation solutions to government clients. We are seeking a highly skilled and experienced DevOps Lead to spearhead a software development implementation project for the Department of Homeland Security. You will take on the task of managing the deployment of a innovative service desk solution using AI solutions to improve user experience and reduce ticket-resolution times, as well as implementing an advanced monitoring solution capable of identifying performance issues across a suite of government applications using either AWS-managed OpenSearch or Splunk. The ideal candidate will have extensive expertise in cloud and local DevOps, AWS services, system monitoring, and operations support. Experience in MLOps and AI Ops is a significant advantage but not mandatory. US Citizenship required.
Key Responsibilities:
DevOps Responsibilities (Must-Have):- Lead the implementation of DevOps practices for the deployment of JSM and Confluence in a DoD environment.
- Oversee the deployment and management of system monitoring solutions using AWS managed OpenSearch or Splunk across a suite of applications in potentially asymmetrical and/or low connectivity environments.
- Coordinate and manage the AWS cloud infrastructure deployments, ensuring optimal configuration, security, and performance whether in Cloud One/GovCloud; which may be greenfield or established instances
- Ensure seamless integration and administration of JSM and Confluence, whether deploying in a greenfield environment or integrating with existing systems.
- Collaborate with stakeholders to understand access levels and operational constraints, adapting solutions to fit within given parameters.
- Mentor and train team members on best practices in DevOps and system monitoring
- Please note that the duties listed above are not exhaustive, and the successful candidate may be required to perform additional tasks as needed. MLOps and AI Ops Responsibilities (Nice-to-Have):
- Experience with the development of CI/CD pipelines for next generation help desk solutions utilizing AI/ML to automate, preempt, and streamline service desk operations.
Required Qualifications:
DevOps Qualifications (Must-Have):- Proven experience in DevOps for both cloud (AWS) and on-premises environments.
- Expertise in AWS services, including EKS, ECS, S3, Lambda, RDS, VPC, and IAM.
- Strong knowledge of JSM and Confluence Data Center deployment and administration
- Proficiency in system monitoring tools such as OpenSearch and Splunk.
- Experience with Kubernetes deployment and administration
- Experience primarily with Terraform and/or Tofu, Terragrunt or similar IaC tools
- Experience with CI/CD tools, particularly Jenkins and Gitlab
- Valid Security+ CE certification (or earned within 3 months of employment) MLOps and AI Ops Qualifications (Nice-to-Have):
- Experience in AI/ML and MLOps practices, with a focus on automation and intelligent operations.
- Familiarity with tools and technologies such as NLP, RPA, predictive analytics, and anomaly detection.
- Interest or experience in AI Ops and advanced automation solutions.
Preferred Qualifications:
- Operational expertise in managing and supporting IT service desks.
- Experience with Cloud One/GovCloud deployments.
- Previous experience working with DoD or other government clients.
- Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.
- Strong communication and collaboration skills.
Personal Attributes:
- Self-motivated and able to work independently as well as part of a team.
- Strong leadership and organizational skills.
- Ability to manage multiple priorities and projects simultaneously.
- Detail-oriented with a focus on delivering high-quality results.
- Willingness to continuously learn and adapt to new technologies and methodologies.
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