Cloud Systems Engineer (SE3) [D.26.0116]

Requires Top Secret/SCI with Full Scope Poly

Salary Range: $256k-$280k per year with an additional $64k-$70k in immediately vested company 401(k) contributions

Description: We are seeking an innovative and analytical Systems Engineer to join our research and development team focused on the future of cloud-native architectures, specifically Content Delivery Networks (CDNs). In this role, you will be at the forefront of distributed systems research, exploring new methodologies to optimize, secure, and scale edge networks. You will bridge the gap between theoretical research and practical implementation, transforming complex technical requirements into robust, automated, and well-documented cloud-native architectures. If you are passionate about pushing the boundaries of CDN technology, designing zero-touch deployment systems, and solving complex infrastructure challenges, we want you on our team.

Responsibilities:

• Requirements & Architecture: Lead the technical translation of high-level research objectives into concrete, scalable cloud-native system architectures.
• CDN Research & Development: Conduct deep-dive research into next-generation CDN technologies, edge computing, traffic routing, and caching strategies.
• Automated Deployments: Design, research, and implement fully automated, resilient deployment pipelines (CI/CD) and Infrastructure as Code (IaC) for both testbed environments and production-grade prototypes.
• System Documentation: Create and maintain comprehensive, high-quality documentation covering system designs, architectural decisions, deployment processes, and research findings.
• Cross-Functional Collaboration: Work closely with researchers, software engineers, and network specialists to build robust environments that support cutting-edge distributed systems experimentation.

Skills Requirements:

• Systems Engineering Experience: Proven track record working as a Systems Engineer, Cloud Architect, or similar role with a focus on highly distributed environments.
• Cloud Native Expertise: Deep understanding of cloud-native ecosystems.
• CDN & Networking: Knowledge of Content Delivery Networks, edge caching, load balancing, DNS, and core network protocols (TCP/IP, HTTP/2/3, TLS, BGP).
• Automation & IaC: Experience with configuration management and Infrastructure as Code, specifically Gitlab and Terraform, to drive automated deployments.
• Analytical & Design Skills: Exceptional ability to gather complex requirements, model systems, and architect solutions that balance performance, security, and scalability.
• Communication: Excellent written communication skills with a proven ability to produce clear, technical documentation for complex systems.

Nice to Haves:

• DevOps: A strong philosophical and practical understanding of DevOps principles and Site Reliability Engineering (SRE) practices.
• AI Familiarity: Familiarity with Artificial Intelligence and Machine Learning concepts, particularly how AI can be applied to network traffic prediction, dynamic routing, or automated system remediation.

YOE Requirement: 12 yrs, B.S. or 4 additional yrs in place of B.S.