Full Stack Developer

Global Linking Solutions Inc

North Carolina

Remote

USD 120,000 - 160,000

Full time

14 days+
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Job summary

Global Linking Solutions Inc. is hiring a Full Stack Developer (AI-Accelerated) to build and maintain internal tools and network platforms. You will ship production-ready code for dashboards, automation utilities, and workflow tooling across our multi-datacenter environment.

You will own backend services in Go and Python, frontend UIs in Angular, and data pipelines with PostgreSQL and ClickHouse, while embracing AI-assisted development and safe automation practices.

Qualifications

  • Strong proficiency in Go, Python, and JavaScript/TypeScript.
  • Hands-on experience with Angular for internal dashboards/tools.
  • Database expertise with PostgreSQL; exposure to ClickHouse and Redis is a plus.
  • Linux environments, Docker, Kubernetes, and Git-based workflows are familiar territory.
  • Experience with REST APIs and integrating with external/internal systems.
  • Experience with Git, Docker, and Ansible for automation and configuration.
  • Excellent communication and ability to work independently on loosely-defined problems.

Responsibilities

  • Design and implement backend services and REST APIs in Go and Python.
  • Build modern internal UIs in Angular for dashboards and tooling.
  • Develop full-stack features spanning data processing and UI layers.
  • Architect schemas and queries for PostgreSQL and time-series data in ClickHouse.
  • Integrate with live network/infrastructure APIs and automation platforms.
  • Automate workflows with Python, Bash, and GitOps practices.
  • Promote secure-by-default patterns and maintainable code throughout.

Skills

Go
Python
JavaScript/TypeScript
Angular
PostgreSQL
ClickHouse
Redis
Docker
Kubernetes
Git
Ansible

Tools

Docker
Kubernetes
Git
Ansible

Job description

Job Description
Full Stack Developer (AI-Accelerated)

See attached...

— Internal Tools & Network Platforms

GLS | Engineering / Operations | Remote (US) | High -ownership role

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.
Full Stack Developer (AI-Accelerated) — Internal Tools & Network Platforms
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 wemeasure 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.

Required Skills & Qualifications
Skill Category Requirements

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

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