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Platform Engineer

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: MANTECH
Full Time position
Listed on 2026-11-04
Job specializations:
  • Software Development
    Data Engineering, Unix/Linux
Salary/Wage Range or Industry Benchmark: 107900 - 179400 USD Yearly USD 107900.00 179400.00 YEAR
Job Description & How to Apply Below

Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we’ve been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now—unleash your potential with MANTECH!

MANTECH seeks a motivated, career and customer-oriented Platform Engineer to join our team in Chantilly, VA
.

The Platform Engineer will support mission-critical data operations by designing, building, and optimizing large-scale data ingest and processing solutions in a Big Data environment. In this role, you will enable reliable, performant Elastic clusters and data pipelines that support analytic and operational needs across the full data lifecycle. You will own the Elasticsearch cluster lifecycle, build and maintain Git Lab and Jenkins CI/CD pipelines, support enterprise RHEL hardware, and lead innovative efforts to integrate next-generation technologies.

Responsibilities

include but are not limited to:
  • Designing, implementing, and optimizing large-scale data ingest and processing systems in a Big Data environment
  • Installing, configuring, upgrading, and maintaining on-premises Elasticsearch clusters, including routine cluster health checks, shard allocation, index maintenance, and custom dashboard development for performance tuning and capacity planning
  • Designing, writing, and maintaining Salt Stack states, pillars, and orchestration workflows to automate server provisioning, configuration compliance, and patch management across on-premises RHEL servers
  • Building and maintaining end-to-end CI/CD pipelines in Git Lab CI and Jenkins that integrate automated builds, artifact publishing, and system deployments
  • Developing automation scripts in Bash, Power Shell, and Python for ad-hoc operational tasks, bulk provisioning, and monitoring plug-in development
  • Leading the integration of third-party software, prototyping emerging technologies through Proof-of-Concept initiatives, and establishing migration paths that minimize operational impact
  • Producing high-quality run-books, SOPs, architectural diagrams, and technical documentation in Confluence and Markdown while collaborating across engineering teams, vendors, and stakeholders
Minimum Qualifications:
  • High School Diploma/GED with 4+ years of progressively responsible experience in platform engineering, data engineering, software development, or systems administration
  • 2+ years of hands‑on experience administering and patching RHEL/CentOS Linux servers in production, including server provisioning, configuration compliance, and hardware troubleshooting
  • 2+ years of proven experience writing and maintaining Salt Stack states, pillars, and orchestration workflows (or comparable IaC tools such as Ansible, Chef, or Puppet)
  • Demonstrated experience installing, configuring, upgrading, and troubleshooting Elasticsearch clusters, including Kibana, Beats, and Elastic Stack security features
  • Experience building and maintaining end‑to‑end CI/CD pipelines using Git Lab CI, Jenkins, or similar automation tools to publish artifacts and drive automated deployments
  • Strong scripting experience and proficiency in Bash, Python, or Power Shell for workflow automation, bulk provisioning, and monitoring plug‑in development
  • Experience integrating third‑party software into existing infrastructure and producing comprehensive technical documentation, run‑books, and SOPs in Confluence or Markdown
Preferred Qualifications:
  • Advanced experience with large‑scale Elasticsearch deployments, cluster health optimization, and…
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