Full Stack Developer

Global Linking Solutions Inc•Charlotte, NV

155d•Remote

About The Position

GLS is hiring a Full Stack Developer to build and maintain the internal tools and operational platforms that run our network business. This includes monitoring dashboards, automation utilities, workflow tooling, and systems that integrate with live infrastructure across a multi-datacenter environment. The role emphasizes using modern AI developer tools and agent frameworks to reduce cycle time while delivering reviewed, tested, production-quality code. Engineers are expected to own outcomes through design, review, testing, security hygiene, and maintainability, with a strong support for AI-assisted development but a rejection of "vibe coding" (blindly accepting AI-generated diffs).

Requirements

Strong proficiency in Go, Python, and JavaScript/TypeScript.
Hands-on Angular experience building internal dashboards/tools.
Strong PostgreSQL experience; exposure to ClickHouse (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.

Nice To Haves

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)

Responsibilities

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 ClickHouse (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 GitOps conventions where appropriate.
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.