AI Developer

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Charlotte, NC, US

Salary Range: $ To $ Annually

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 multidatacenter 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., Open Claw) 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.

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.

• 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.

• Build modern internal UIs in Angular for dashboards, tooling, and operational visibility.
• Deliver practical UX: fast, readable, and optimized for operators under pressure.

• Design schemas and write performant queries for PostgreSQL.
• Work with Click House (or similar columnar/time‑series systems) for large‑scale metrics.
• Optimize query patterns and data lifecycle for operational analytics and dashboards.

• 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.

• Build automation utilities using Python and Bash.
• Support Git‑based workflows, CI/CD, and Git Ops conventions where appropriate.

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 Open Claw) 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.

Strong PostgreSQL experience; exposure to Click House (or similar) preferred; familiarity with caching (e.g., Redis).

Comfortable in Linux environments; experience with Docker; basic Kubernetes/container familiarity;
Git‑based workflows.

Proven experience building/consuming REST APIs and integrating with external/internal systems.

Git, Docker, Ansible (or similar configuration management).

Can work independently on loosely‑defined problems and communicate clearly with infrastructure‑focused teams.

• Practical Open Claw experience: multi‑agent setups, sandbox/tool allow/deny policies, hooks, automation patterns.
• Git Ops tooling:
  ArgoCD, Fleet, Helm, operators.
• Networking fundamentals: IP, VLANs, routing, firewall concepts.
• Observability experience: metrics pipelines, time‑series…