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
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).
Full Stack Developer (AI-Accelerated) — Internal Tools & Network Platforms
Skill Category Requirements
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:
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.
based).
Full Stack Developer (AI-Accelerated) — Internal Tools & Network Platforms
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.
Global Linking Solutions (GLS) is a network infrastructure company that operates a multi-datacenter environment serving as the backbone for their network business. They build and maintain internal operational platforms including monitoring dashboards, automation utilities, workflow tooling, and systems that integrate with live infrastructure across their network. The company relies on engineering and NOC/SOC teams using custom tools for operational visibility, metrics monitoring, and infrastructure management. GLS is notable for embracing AI-assisted development practices, using modern tools like Claude Opus and agent frameworks to accelerate engineering velocity while maintaining production-quality standards.
