Senior Software Engineer – Azure, Internal Business Applications

🔥 20 hours ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cornerstone Building Brands

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

🏭 Manufacturing

Construction • Manufacturing

Cornerstone Building Brands is the largest manufacturer of exterior building products in North America. Our comprehensive portfolio spans the breadth of the residential and commercial markets, while our expansive footprint enables us to serve customers and communities across North America. Our relentless focus on excellence combined with our ongoing commitment to innovation and R&D has driven us to become the #1 manufacturer of windows, vinyl siding, insulated metal panels, metal roofing and wall systems, and metal accessories.

📋 Description

• Design, develop, and maintain internal business applications using Microsoft Azure services and modern full-stack engineering practices • Own solution design from concept through implementation, including architecture, data flow, integrations, security, deployment, and supportability • Build front-end experiences using React, TypeScript/JavaScript, reusable components, and API-driven patterns • Develop and maintain back-end services, REST APIs, serverless functions, integrations, and cloud-native components • Evaluate, refactor, harden, and scale prototypes and business-created applications into enterprise-grade solutions • Provide technical leadership, code reviews, architecture guidance, and mentoring • Establish and reinforce coding standards, branching strategies, pull request expectations, and quality controls • Translate business problems and workflow gaps into technical solutions • Integrate applications with ERP, CRM, data services, authentication platforms, reporting tools, document processing services, and APIs • Apply secure coding, identity, access control, data protection, privacy, and governance practices • Use Git, CI/CD pipelines, work-item tracking, and release management practices • Support monitoring, logging, troubleshooting, performance tuning, and production readiness using Azure Monitor and Application Insights • Apply AI/ML capabilities including prompt engineering, LLM integration, document processing, classification, summarization, and AI-assisted development • Maintain technical documentation, architecture notes, deployment instructions, runbooks, and knowledge-transfer materials • Improve development practices through reusable patterns, shared components, automation, and standards

🎯 Requirements

• 5+ years of professional software development experience (hands-on design, development, testing, deployment, and support of production applications) • 2+ years of experience building cloud-native applications on Microsoft Azure or comparable cloud platforms • Experience with React, TypeScript/JavaScript, REST APIs, and cloud-native back-end services • Experience designing and building scalable application architectures from business requirements, prototypes, or loosely defined problem statements • Strong understanding of software engineering fundamentals, including clean code, modular design, error handling, logging, testing, maintainability, and performance considerations • Experience with Git-based source control, including branching, merging, pull requests, code reviews, and release coordination • Experience integrating applications with enterprise systems using REST APIs, event-driven patterns, messaging, data services, or other integration approaches • Working knowledge of CI/CD concepts and tools such as GitHub Actions, Azure DevOps, or similar platforms • Experience with AI/ML-enabled application patterns, including prompt engineering, LLM integration, document processing, semantic search, classification, summarization, or AI-assisted software development • Ability to communicate clearly with business stakeholders, analysts, developers, technical partners, and leadership