AI Developer

Role

GLS seeks a Full Stack AI Developer to design, build, and maintain internal operational tooling and platforms that support a multi-datacenter network business. The role focuses on monitoring/metrics platforms, automation utilities, operator-facing dashboards, and integrations with live network and infrastructure APIs.

Key Responsibilities

• Design and implement backend services and REST APIs using Go and Python.
• Build internal UIs and dashboards using Angular for operational visibility.
• Design schemas and queries for PostgreSQL and work with ClickHouse or similar columnar/time-series systems for large-scale metrics.
• Integrate with network and infrastructure APIs; collaborate with systems and network engineers to translate requirements into reliable software.
• Build automation utilities using Python and Bash, and support Git-based CI/CD/GitOps workflows.
• Maintain code quality through design, code review, testing, static analysis, and secure-by-default patterns.

AI-Assisted Engineering Expectations

• Use AI developer tools (example: Claude Opus) for scaffolding, refactors, test generation, troubleshooting, and documentation while retaining engineering ownership.
• Apply agent frameworks (preferably OpenClaw) to automate repeatable workflows, with safe execution models (sandboxing, policy hooks, auditing).
• Do not accept AI-generated code without review and testing (explicit rejection of “vibe coding”).

Requirements

• Strong proficiency in Go, Python, and JavaScript/TypeScript.
• Hands-on experience with Angular for building internal dashboards/tools.
• Strong PostgreSQL experience; exposure to ClickHouse or similar columnar/time-series systems preferred.
• Familiarity with caching solutions (e.g., Redis).
• Comfortable working in Linux environments; experience with Docker and basic Kubernetes/container knowledge.
• Proven experience building and consuming REST APIs and integrating with external/internal systems.
• Experience with Git-based workflows and tooling; familiarity with Ansible or similar configuration management.
• Strong communication skills and the ability to work independently on loosely defined problems.

Nice to Have

• Practical OpenClaw (agent framework) experience: multi-agent setups, sandbox/tool allow/deny policies, hooks, automation patterns.
• GitOps tooling experience: ArgoCD, Fleet, Helm, operators.
• Networking fundamentals: IP, VLANs, routing, firewall concepts.
• Observability experience: metrics pipelines, time-series systems, log pipelines (e.g., Elasticsearch).

Success Criteria (First 60–90 Days)

• Ship meaningful improvements to internal tooling and monitoring workflows.
• Deliver at least one end-to-end feature (UI + API + database + operational integration).
• Improve cycle time using AI tools while maintaining tests, reviews, and measurable reliability gains.
• Contribute reusable automation patterns that reduce toil for the team.