Supports systems requirements analysis, functional analysis, and requirements allocation for complex cloud and hybrid environments to include VMware and virtual server support.
Architect, deploy, and integrate cloud-native applications and supporting services.
Design and support containerized platforms and orchestration solutions using Kubernetes, Docker, and related technologies.
Optimize system availability, performance, scalability, and reliability across distributed cloud environments.
Supports Data Transport On-Call and Maintenance schedule as directed by program.
Implement and oversee security best practices, including identity and access management, logging, monitoring, vulnerability management, and compliance controls.
Support system integration, verification, validation, testing, and quality assurance activities across multiple technical domains.
Lead cloud modernization initiatives, including migration of legacy systems and adoption of cloud-native architectures.
Troubleshoot complex system issues, perform root cause analysis, and drive resolution across teams.
Develop and maintain technical documentation, architecture artifacts, and operational procedures.
Collaborate with internal engineering teams, program leadership, customers, and external partners or vendors to deliver integrated solutions.
Provide technical leadership, coaching, and design review support to junior and mid-level engineers.

Bachelor’s degree with 4+ years of relevant experience, or Master’s degree with 2+ years of relevant experience, additional years of experience will be accepted in lieu of a degree.
Interim Secret clearance required to start; ability to obtain and maintain a Secret clearance.
U.S. citizenship required.
CompTIA Security+ or equivalent certification (IAT Level II).
Expert-level experience designing and supporting cloud environments (AWS, Azure, GCP, or OCI).
Strong experience with Infrastructure as Code, automation, and DevOps/DevSecOps practices.
Hands-on experience with CI/CD pipelines and cloud-native application architectures.
Advanced knowledge of Linux/Unix systems, networking, and cloud security concepts.
Proficiency in one or more scripting or programming languages (e.g., Apache NiFi).
Excellent written and verbal communication skills.

Data Transport Infrastructure Engineer

Key skills