{"schemaVersion":"jobsearcher.job.v1","id":"29d64cfb5e7d6a7fbd1a1f51","url":"https://jobsearcher.com/jobs/29d64cfb5e7d6a7fbd1a1f51","canonicalUrl":"https://jobsearcher.com/jobs/29d64cfb5e7d6a7fbd1a1f51","title":"Full Stack Developer","description":"Full Stack Developer (AI-Accelerated)\n\n— Internal Tools & Network Platforms\n\nGLS | Engineering / Operations | Remote (US) | High-ownership role\n\nRole Overview\n\nGLS 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) and agent frameworks 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.\n\nWhat You'll Build\n\nInternal 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.\n\nKey Responsibilities\n\nBackend Engineering (Go + Python)\n\nDesign and implement backend services and REST APIs in Go and Python.\nBuild durable internal services used for operational workflows and monitoring workloads.\nCreate clean abstractions around infrastructure and device APIs.\n\nFrontend Engineering (Angular)\nBuild modern internal UIs in Angular for dashboards, tooling, and operational visibility.\nDeliver practical UX: fast, readable, and optimized for operators under pressure.\n\nPage Break\n\nData & Database Engineering (PostgreSQL + ClickHouse)\n\nDesign schemas and write performant queries for PostgreSQL.\nWork with ClickHouse (or similar columnar/time-series systems) for large-scale metrics.\nOptimize query patterns and data lifecycle for operational analytics and dashboards.\n\nInfrastructure Integration\nBuild software that interfaces with network/infrastructure APIs and operational platforms.\nWork closely with systems/network engineers to translate real-world requirements into reliable software.\nAutomation & GitOps Workflows\nBuild automation utilities using Python and Bash.\nSupport Git-based workflows, CI/CD, and GitOps conventions where appropriate.\nAI-Assisted Engineering Expectations\n\nWe 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.\n\nRequired Skills & Qualifications\n\nSkill Category\n\nRequirements\n\nLanguages\n\nStrong proficiency in Go, Python, and JavaScript/TypeScript.\n\nFrontend\n\nHands-on Angular experience building internal dashboards/tools.\n\nDatabases\n\nStrong PostgreSQL experience; exposure to ClickHouse (or similar) preferred; familiarity with caching (e.g., Redis).\n\nPage Break\n\nSkill Category\n\nRequirements\n\nLinux & Delivery\n\nComfortable in Linux environments; experience with Docker; basic Kubernetes/container familiarity; Git-based workflows.\n\nAPI Engineering\n\nProven experience building/consuming REST APIs and integrating with external/internal systems.\n\nTooling\n\nGit, Docker, Ansible (or similar configuration management).\n\nCommunication\n\nCan work independently on loosely-defined problems and communicate clearly with infrastructure-focused teams.\n\nNice to Have (Strong Signals)\n\nThe following skills and experience are not required but demonstrate valuable depth and would accelerate your impact in this role:\n\nPractical OpenClaw experience: multi-agent setups, sandbox/tool allow/deny policies, hooks, automation patterns\nGitOps tooling: ArgoCD, Fleet, Helm, operators\nNetworking fundamentals: IP, VLANs, routing, firewall concepts\nObservability experience: metrics pipelines, time-series systems, log pipelines (e.g., Elasticsearch)\n\nWhat Success Looks Like (First 60–90 Days)\nShip meaningful improvements to internal tooling and/or monitoring workflows.\nDeliver at least one end-to-end feature: UI + API + database + operational integration.\nImprove cycle time using AI tools with discipline: tests, review, measurable reliability gains.\nContribute reusable automation patterns that reduce toil for the team (agent or script-based).\n\nPage Break\n\nWhy GLS\n\nYou'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.\n\nFull-time\n\nHealth Insurance\n\n401k Matching\n\nPaid Time Off\n\nHow to Apply\n\nIf 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.","company":"Global Linking Solutions","rawCompany":"global linking solutions","city":"Florida","state":"9","isRemote":false,"isActive":false,"createdAt":"2026-09-11T10:40:59.285Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Developer","description":"Full Stack Developer (AI-Accelerated)\n\n— Internal Tools & Network Platforms\n\nGLS | Engineering / Operations | Remote (US) | High-ownership role\n\nRole Overview\n\nGLS 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) and agent frameworks 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.\n\nWhat You'll Build\n\nInternal 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.\n\nKey Responsibilities\n\nBackend Engineering (Go + Python)\n\nDesign and implement backend services and REST APIs in Go and Python.\nBuild durable internal services used for operational workflows and monitoring workloads.\nCreate clean abstractions around infrastructure and device APIs.\n\nFrontend Engineering (Angular)\nBuild modern internal UIs in Angular for dashboards, tooling, and operational visibility.\nDeliver practical UX: fast, readable, and optimized for operators under pressure.\n\nPage Break\n\nData & Database Engineering (PostgreSQL + ClickHouse)\n\nDesign schemas and write performant queries for PostgreSQL.\nWork with ClickHouse (or similar columnar/time-series systems) for large-scale metrics.\nOptimize query patterns and data lifecycle for operational analytics and dashboards.\n\nInfrastructure Integration\nBuild software that interfaces with network/infrastructure APIs and operational platforms.\nWork closely with systems/network engineers to translate real-world requirements into reliable software.\nAutomation & GitOps Workflows\nBuild automation utilities using Python and Bash.\nSupport Git-based workflows, CI/CD, and GitOps conventions where appropriate.\nAI-Assisted Engineering Expectations\n\nWe 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.\n\nRequired Skills & Qualifications\n\nSkill Category\n\nRequirements\n\nLanguages\n\nStrong proficiency in Go, Python, and JavaScript/TypeScript.\n\nFrontend\n\nHands-on Angular experience building internal dashboards/tools.\n\nDatabases\n\nStrong PostgreSQL experience; exposure to ClickHouse (or similar) preferred; familiarity with caching (e.g., Redis).\n\nPage Break\n\nSkill Category\n\nRequirements\n\nLinux & Delivery\n\nComfortable in Linux environments; experience with Docker; basic Kubernetes/container familiarity; Git-based workflows.\n\nAPI Engineering\n\nProven experience building/consuming REST APIs and integrating with external/internal systems.\n\nTooling\n\nGit, Docker, Ansible (or similar configuration management).\n\nCommunication\n\nCan work independently on loosely-defined problems and communicate clearly with infrastructure-focused teams.\n\nNice to Have (Strong Signals)\n\nThe following skills and experience are not required but demonstrate valuable depth and would accelerate your impact in this role:\n\nPractical OpenClaw experience: multi-agent setups, sandbox/tool allow/deny policies, hooks, automation patterns\nGitOps tooling: ArgoCD, Fleet, Helm, operators\nNetworking fundamentals: IP, VLANs, routing, firewall concepts\nObservability experience: metrics pipelines, time-series systems, log pipelines (e.g., Elasticsearch)\n\nWhat Success Looks Like (First 60–90 Days)\nShip meaningful improvements to internal tooling and/or monitoring workflows.\nDeliver at least one end-to-end feature: UI + API + database + operational integration.\nImprove cycle time using AI tools with discipline: tests, review, measurable reliability gains.\nContribute reusable automation patterns that reduce toil for the team (agent or script-based).\n\nPage Break\n\nWhy GLS\n\nYou'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.\n\nFull-time\n\nHealth Insurance\n\n401k Matching\n\nPaid Time Off\n\nHow to Apply\n\nIf 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.","datePosted":"2026-09-11T10:40:59.285Z","dateModified":"2026-09-11T10:40:59.285Z","hiringOrganization":{"@type":"Organization","name":"Global Linking Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Florida","addressRegion":"9","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"29d64cfb5e7d6a7fbd1a1f51"},"url":"https://jobsearcher.com/jobs/29d64cfb5e7d6a7fbd1a1f51"}}