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Senior AI Operations Engineer
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- $150,000 to $160,000 USD / year
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- $130,000 to $140,000 USD / year
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Manufacturing Engineer
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Orangeburg, NY
- $82,000 to $112,000 USD / year
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Electronics Test Engineer
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Controls Engineer
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Production Engineer
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Mechanical Engineer - Entry Level
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Principal Flight Controls Engineer
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Senior Staff Device Characterization Engineer
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Senior Staff Device Characterization Engineer
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Manufacturing Engineer II
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Peraton

Tier 3 Platform Engineer

Chantilly, VA, United States

Target Salary Range $104,000 - $166,000.

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Job details

Pay: Target Salary Range $104,000 - $166,000.
Apply by: Nov 2, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Responsibilities

Schedule: Rotating shifts within a 6:00 AM to 6:00 PM, seven-day on-site coverage window, plus participation in a shared after-hours on-call rotation.

About the Role

Peraton is seeking a Mid-Level Platform Engineer to support the development, operation, and sustainment of a mission-critical enterprise software platform for an Intelligence Community customer. The platform provides a standardized developer and user experience across multiple classified enclaves, leveraging a zero trust, hub-and-spoke architecture.

The Mid-Level Platform Engineer will perform hands-on platform engineering, infrastructure automation, and Tier 3 technical support activities to maintain platform availability, reliability, and performance. This role will support the deployment and sustainment of containerized workloads, infrastructure as code, CI/CD pipelines, and shared platform services while troubleshooting and resolving escalated technical issues across the enterprise. Working within a cross-functional engineering and operations team, the engineer will collaborate with senior personnel, cybersecurity staff, and Tier 2 support to deliver reliable platform capabilities to mission users.

What You Will Do

Deploy, configure, maintain, and troubleshoot platform components across hybrid cloud and on-premises environments, including Kubernetes-based container platforms.
Support the operation and sustainment of containerized workloads, including application deployments, configuration management, and platform updates.
Develop and maintain infrastructure as code using Terraform, Ansible, or similar automation technologies.
Support CI/CD pipeline development and maintenance to enable secure, repeatable platform deployments.
Implement and maintain platform security configurations, including identity-aware access, network segmentation, and least-privilege controls.
Assist with onboarding new mission tenants, applications, and shared services onto the enterprise platform.
Monitor platform health, availability, and performance using logging, metrics, alerting, and dashboard technologies.
Provide Tier 3 technical support for escalated incidents involving compute, storage, networking, identity, and container infrastructure.
Troubleshoot complex technical issues across Linux operating systems, DNS, routing, load balancing, firewalls, and identity and access management.
Investigate incidents, document findings, and support root cause analysis and corrective action development.
Resolve technical issues within established service levels and escalate complex problems to senior engineers and platform leadership as appropriate.
Develop and maintain technical documentation, troubleshooting procedures, and operational runbooks.
Support the implementation of corrective actions and automation improvements to reduce recurring incidents.
Collaborate with cybersecurity personnel to maintain security configurations, continuous monitoring activities, and accreditation documentation.
Provide technical guidance to Tier 2 support personnel and contribute to knowledge-sharing activities.
Participate in rotating on-site shifts and the shared after-hours on-call rotation to support continuous platform operations.

Location: This position is fully onsite in Chantilly, VA.

Qualifications

Required Qualifications

Active TS/SCI clearance with Polygraph.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, with 5+ years of relevant experience. Additional 4 years of relevant experience may be substituted for a degree.
Hands-on experience operating and troubleshooting containerized workloads in production environments using Kubernetes or a Kubernetes-based platform.
Experience supporting at least one major cloud environment (AWS, Azure, or a government cloud region) and hybrid cloud or on-premises infrastructure.
Working knowledge of infrastructure as code technologies, including Terraform, Ansible, or similar tools.
Working knowledge of CI/CD pipelines and automated deployment processes.
Demonstrated ability to troubleshoot technical issues across Linux systems, networking technologies (DNS, routing, load balancing, and firewalls), and identity and access management layers.
Experience supporting production systems under defined service levels, including incident and problem management.
DoD 8140 / 8570 IAT Level II certification, such as Security+ CE, or the ability to obtain the required certification within the established timeframe.
Ability to work rotating shifts within the established seven-day on-site coverage window and participate in the shared after-hours on-call rotation.

Desired Qualifications

Experience supporting enterprise platforms across multiple classification levels or security enclaves, including cross-domain data movement.
Familiarity with zero trust architecture principles and their implementation within cloud environments.
Experience with IT service management (ITSM) tools, including ServiceNow.
Familiarity with observability tools and platforms such as Prometheus, Grafana, Splunk, or Elastic.
Experience supporting Risk Management Framework (RMF) authorization activities or continuous Authority to Operate (cATO).
Kubernetes certifications, such as CKA, CKAD, or CKS, and/or a cloud professional certification.
Prior experience supporting Intelligence Community or Department of Defense mission programs.

Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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More about this job

Skills

Technical support
Infrastructure as code
CI/CD
Troubleshooting
Cybersecurity
Troubleshoot
Kubernetes
IBM Terraform
Ansible
Automation technology
Onboarding
Linux
DNS
Identity and access management
Root cause analysis
Leadership
Documentation
Monitor activities
Computer science
AWS
Microsoft Azure
Security+
IT service management
ServiceNow
Prometheus
Grafana
Splunk
Risk management

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