Full Stack Developer

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., 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 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

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., * 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.

• Contribute reusable automation patterns that reduce toil for the team (agent or script-

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

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:

• 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)