GLS is a managed service provider founded in 1998. Our focus is on the development of optimized designs that drive security, performance and savings through managed network solutions.
We support over 80,000 globally deployed endpoints out of our Network Operations Center (NOC) and Security Defense Center (SDC) in Charlotte, North Carolina and our facility in Knoxville, Tennessee. We have deployed over 30,000 of those nodes ourselves. Customers who partner with GLS perform better, their IT operation is more efficient, and their company is poised for a smooth transition into the cloud.
Our people and processes are what differentiates GLS from our competitors. The GLS leadership team has over 100 years of experience in voice and data networking. We deploy a stratified NOC and SDC with a multi-tier structure of support technicians. Our project management and engineering teams leverage our specialized tool set to deliver smooth network transitions and rollouts. Finally, our reporting and analysis team actively engages IT operations and planning with meaningful and timely performance data and analysis. Our operations teams are dedicated to customer satisfaction and work hard to customize our proven processes and tools to perfectly match each customer unique requirement. This is your opportunity to join Team NOC.
We are currently working to fill openings on all shifts for NOC Technician and SDC Analyst. The NOC Technician is an outstanding entry-level position at GLS that could allow the successful applicant the ability to build a solid technical foundation that could lead to engineering and security responsibilities. We require energetic, hard workers with a positive attitude to perform technical problem resolution in a high stress environment, including analysis, trouble isolation and repair.
Duties will include acting as a Customer Advocate in a 24x7x365 Network Operation Center.
NOC Technician
The successful applicant will perform proactive monitoring, configuration management and fault resolution of assigned client networks. Additional responsibilities include:Performs customer advocate duties while maintaining a positive and professional manner at all times, during high stress situations. Takes calls and provides status from and to customers on a regular basis.Works in conjunction with internal and external resources to the company technicians/engineers to troubleshoot and resolve customer's issues.Has direct interaction and escalates troubles internally and externally on behalf of the customer.Maintains workload through a queue, detailing each ticket with notes of steps taken, test results and resolution data.Works tickets on a routine basis and may request support of others.Contribute to realizing departmental company goals and objectivesOther duties may be assigned.Multilingual ability a plus. (Spanish, German, French)The NOC Technician will be required to be open to all shifts/all days after preliminary training on 1st shift. Starting pay is $15.50 an hour. GLS offers an attractive benefits package for employees who qualify.
Benefits include:
Medical
Dental
Vision
Flex Spending
Life Insurance
401K after one year of employment
Paid Time Off
Job Type: Full-time
Role Overview
GLS is hiring a Full Stack Developer to build and maintain the internal tools and operational platforms that run our network business: monitoring dashboards, automation utilities, workflow tooling, and systems that integrate with live infrastructure across a multi datacenter environment. This role is for someone who can ship quickly without sacrificing correctness — using modern AI developer tools (e.g., Claude Opus) and agent frameworks (e.g., OpenClaw) to reduce cycle time, while still delivering reviewed, tested, production quality code. Important: We strongly support AI-assisted development. We do not want vibe coding (blindly accepting AI-generated diffs). We expect engineers to own outcomes through design, review, testing, security hygiene, and maintainability.
What You'll Build
Internal operational tooling that engineers and NOC/SOC teams rely on daily. A custom monitoring/metrics platform spanning time-series data, dashboards, and alerting workflows. Integrations with live network/infrastructure APIs (devices, services, systems). Automation that reduces toil and speeds execution with auditability and guardrails.
Key Responsibilities
Backend Engineering (Go + Python) • Design and implement backend services and REST APIs in Go and Python. • Build durable internal services used for operational workflows and monitoring workloads. • Create clean abstractions around infrastructure and device APIs.
Frontend Engineering (Angular) • Build modern internal UIs in Angular for dashboards, tooling, and operational visibility. • Deliver practical UX: fast, readable, and optimized for operators under pressure.
Data & Database Engineering (PostgreSQL + ClickHouse) • Design schemas and write performant queries for PostgreSQL. • Work with ClickHouse (or similar columnar/time-series systems) for large-scale metrics. • Optimize query patterns and data lifecycle for operational analytics and dashboards. Infrastructure Integration
• Build software that interfaces with network/infrastructure APIs and operational platforms. • Work closely with systems/network engineers to translate real-world requirements into reliable software. Automation & GitOps Workflows
• Build automation utilities using Python and Bash. • Support Git-based workflows, CI/CD, and GitOps conventions where appropriate. AI-Assisted Engineering Expectations We expect you to use AI tools to move faster — and we measure success by quality shipped, not lines generated. You will: Use AI developer tools (e.g., Claude Opus) for acceleration: scaffolding, refactors, test generation, troubleshooting, and documentation — while keeping engineering ownership and rigor. Apply agent frameworks (preferably OpenClaw) to automate repeatable workflows (e.g., repo tasks, environment actions, operational runbooks), including safe execution models (tool policies / sandboxing / hooks or auditing patterns). Build and maintain guardrails: code review discipline, test coverage, static analysis, and secure-by-default patterns. We do NOT want: Vibe coding: accepting AI-generated code without understanding/reviewing/testing it.
Languages: Strong proficiency in Go, Python, and JavaScript/TypeScript.
Frontend: Hands-on Angular experience building internal dashboards/tools.
Databases: Strong PostgreSQL experience; exposure to ClickHouse (or similar) preferred; familiarity with caching (e.g., Redis)
Linux & Delivery: Comfortable in Linux environments; experience with Docker; basic Kubernetes/container familiarity; Git-based workflows.
API Engineering: Proven experience building/consuming REST APIs and integrating with external/internal systems.
Tooling: Git, Docker, Ansible (or similar configuration management).
Communication: Can work independently on loosely-defined problems and communicate clearly with infrastructure-focused teams.
Nice to Have (Strong Signals)
The following skills and experience are not required but demonstrate valuable depth and would accelerate your impact in this role: • Practical OpenClaw experience: multi-agent setups, sandbox/tool allow/deny policies, hooks, automation patterns • GitOps tooling: ArgoCD, Fleet, Helm, operators • Networking fundamentals: IP, VLANs, routing, firewall concepts • Observability experience: metrics pipelines, time-series systems, log pipelines (e.g., Elasticsearch)
What Success Looks Like (First 60–90 Days)
• Ship meaningful improvements to internal tooling and/or monitoring workflows. • Deliver at least one end-to-end feature: UI + API + database + operational integration. • Improve cycle time using AI tools with discipline: tests, review, measurable reliability gains. • Contribute reusable automation patterns that reduce toil for the team (agent or script-based).
Why GLS
You'll build software that directly supports real operational outcomes. Real users, real systems, real impact. High ownership, low bureaucracy, strong technical collaboration with infrastructure experts.
How to Apply
If you're excited about building mission-critical internal tools with modern AI-assisted workflows while maintaining engineering rigor, we'd love to hear from you. Submit your resume and a brief note about your experience with full-stack development, particularly highlighting any AI-accelerated development practices you've used. Include links to relevant projects or code samples if available.
