Platform Engineer

MANTECH•Chantilly, VA

8d•$107,900 - $179,400•Onsite

About The Position

MANTECH seeks a motivated, career- and customer-oriented Platform Engineer to join its team onsite in Chantilly, Virginia. The role supports mission-critical data operations by designing, building, and optimizing large-scale data ingest and processing solutions in a Big Data environment. The engineer enables reliable, performant Elastic clusters and data pipelines that support analytic and operational needs across the full data lifecycle. The position owns the Elasticsearch cluster lifecycle, builds and maintains GitLab and Jenkins CI/CD pipelines, supports enterprise RHEL hardware, and leads efforts to integrate next-generation technologies.

Requirements

High school diploma or GED and at least 4 years of progressively responsible experience in platform engineering, data engineering, software development, or systems administration.
At least 2 years of hands-on experience administering and patching RHEL/CentOS Linux servers in production, including server provisioning, configuration compliance, and hardware troubleshooting.
At least 2 years of experience writing and maintaining SaltStack states, pillars, and orchestration workflows, or comparable IaC tools such as Ansible, Chef, or Puppet.
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 GitLab CI, Jenkins, or similar automation tools to publish artifacts and drive automated deployments.
Strong scripting experience and proficiency in Bash, Python, or PowerShell 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.
Active TS/SCI with Polygraph clearance.

Nice To Haves

Advanced experience with large-scale Elasticsearch deployments, cluster health optimization, and multi-node scaling.
Advanced proficiency in Configuration Management and Infrastructure as Code (IaC) using SaltStack, Ansible, or Puppet.
Practical knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Experience supporting mission-critical data operations and platform engineering initiatives within secure government environments.

Responsibilities

Design, implement, and optimize large-scale data ingest and processing systems in a Big Data environment.
Install, configure, upgrade, and maintain on-premises Elasticsearch clusters, including routine cluster health checks, shard allocation, index maintenance, and custom dashboard development for performance tuning and capacity planning.
Design, write, and maintain SaltStack states, pillars, and orchestration workflows to automate server provisioning, configuration compliance, and patch management across on-premises RHEL servers.
Build and maintain end-to-end CI/CD pipelines in GitLab CI and Jenkins that integrate automated builds, artifact publishing, and system deployments.
Develop automation scripts in Bash, PowerShell, and Python for ad-hoc operational tasks, bulk provisioning, and monitoring plug-in development.
Lead third-party software integration, prototype emerging technologies through Proof-of-Concept initiatives, and establish migration paths that minimize operational impact.
Produce run-books, SOPs, architectural diagrams, and technical documentation in Confluence and Markdown while collaborating across engineering teams, vendors, and stakeholders.