Cloud Platforms Engineer

Required Skills

• U. S. Citizen.
• Active DoD Secret security clearance.
• Bachelor’s degree with 5+ years of related work experience.
• Ability to obtain a DoD 8140 IAT Level II Security+ (or higher) within 60 days of hire.
• Ability to work in a hybrid capacity in Fairfax, VA (up to 3 days in office).
• Ability to travel <20% throughout the lifespan of the Program to CONUS / OCONUS customer sites and government installations.
• Strong experience designing, deploying, and supporting highly available, fault-tolerant cloud infrastructure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC) principles for provisioning and managing cloud resources.
• Knowledge of High Availability (HA) and Disaster Recovery (DR) architecture, including redundancy, automated failover, backup and restoration, geographic resiliency, and recovery planning.
• Experience managing the full cloud infrastructure lifecycle, including provisioning, configuration, patching, upgrades, vulnerability remediation, maintenance, and decommissioning.
• Strong infrastructure automation skills with an emphasis on reducing manual administration, configuration drift, and operational error.
• Experience implementing and operating monitoring, logging, alerting, and observability solutions for production infrastructure.
• Strong troubleshooting and diagnostic skills, including incident response, root-cause analysis, and corrective action development.
• Understanding of Site Reliability Engineering concepts, including SLIs, SLOs, availability targets, RTOs, and RPOs.
• Experience developing and validating disaster recovery procedures, including failover exercises, recovery testing, and infrastructure restoration.
• Ability to evaluate infrastructure capacity, performance, scalability, availability, and resiliency and recommend architectural or operational improvements.
• Experience working collaboratively with application development, cybersecurity, DevOps, and platform engineering teams.
• Ability to develop and maintain technical documentation, including architecture diagrams, operational procedures, runbooks, and recovery documentation.
• Strong understanding of cloud infrastructure security, vulnerability management, and operational best practices.
• Demonstrated ability to provide technical leadership and guidance in infrastructure reliability, resiliency, automation, and cloud operations.
• Experience supporting production, enterprise, regulated, or mission-critical environments is highly desirable.
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management).

Desired Skills

• Bachelor’s degree in Computer Science, Information Technology, Computer Networking, Computer Security, or other Science, Technology, Engineering and Mathematics (STEM) discipline.
• Demonstrated experience administering and engineering cloud infrastructure in production environments.
• Strong hands-on experience with Terraform and Infrastructure as Code (IaC) practices.
• Experience developing and maintaining infrastructure automation for provisioning and operational tasks.
• Knowledge of High Availability (HA) and Disaster Recovery (DR) architecture and implementation.
• Experience with monitoring, logging, alerting, and observability solutions.
• Strong operational troubleshooting, incident response, and root-cause analysis skills.
• Experience supporting enterprise-scale, regulated, or government environments.
• Familiarity with security, compliance, vulnerability management, and governance requirements in cloud environments.
• Ability to work effectively across infrastructure, cybersecurity, DevOps, platform engineering, and application teams.
• Strong understanding of cloud reliability, resiliency, scalability, and operational best practices.

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