Full Stack Developer

Role Summary

Full Stack Developer (AI-Accelerated)

See attached...

• Internal Tools & Network Platforms

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

• 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.

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
• 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)
• 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.
• 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
• systems, real impact. High ownership, low bureaucracy, strong technical collaboration with

infrastructure experts.

Additional Information

• 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.