Senior Systems Engineer

About the company

Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021!

Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

About the role

Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021!

Belay Technologies is seeking a Senior Systems Engineer to join our intel team. 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 will-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.

Qualifications

Candidates should have the following qualifications:

• TS/SCI Clearance with polygraph
• 12 yrs, B.S. or 4 additional yrs in place of B.S.
• 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

Candidates are desired to have the following skills:

• Computer Network Operations (CNO): Experience or background in CNO.
• 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.

Compensation

Posted Annualized Salary: $168,000 – $240,000

Benefits

• 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program
• 10% matching in 401(k) contributions vested on day one
• $5,000 annual training/tuition
• Student Loan Repayment Program
• 100% company-funded HSA
• Rich medical coverage (100% coinsurance)
• Dental coverage including orthodontia
• Up to $420,000 in life insurance, premiums 100% company funded
• Amazon Prime, gym reimbursement, monthly lunches, games and prizes
• Pet adoption program, generous referral bonus program, fun events, and more!

Accommodations

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