Full Stack Developer
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).
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