Cloud and Platform Architect – Azure, AI

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Collaborate with Product Managers, Business Analysts, and stakeholders to define outcomes, refine product vision, and convert requirements into practical architectural solutions.

• Create architecture blueprints, high-level and low-level designs, technical decision records, and provide implementation guidance for platform products.

• Design secure, scalable, and reusable services, APIs, data storage patterns, integration methods, user-facing features, and common components.

• Work in close partnership with engineering teams during implementation through hands-on prototyping, code reviews, pair design, design assurance, and management of technical debt.

• Choose technologies, advocate for reuse, establish development standards, and assist in developing shared frameworks or accelerators.

• Engage in planning and estimation, maintain the architecture backlog, and make informed trade-offs regarding cost, risk, quality, security, and time-to-market.

• Collaborate with architects, security teams, platform teams, and engineering teams to ensure designs comply with enterprise standards and delivery constraints.

• Utilize AI-assisted and agentic engineering practices to enhance delivery, quality, documentation, testing, and developer productivity.

⛳️ Requirements

• Extensive architecture experience across cloud-native applications, integration, data, and security domains.

• Proficient in software engineering with at least one modern programming language such as C#, Java, JavaScript/TypeScript, or Python.

• Confidence in reading and reviewing production code.

• Hands-on experience with agentic AI coding tools and AI-assisted delivery workflows, including GitHub Copilot, Cursor, Windsurf, Claude Code, OpenAI Codex-style agents, or similar tools.

• Practical experience with Azure, including compute, storage, networking, security, Azure Policy, Entra ID, RBAC, Key Vault, and tenant-aware identity patterns.

• Familiarity with APIs, microservices, containers, and Kubernetes, preferably AKS.

• Experience with CI/CD and DevSecOps practices using Azure DevOps and/or GitHub.

• Ability to design access management, authentication, and authorization patterns for users, services, and platform-to-platform integrations.

• Strong understanding of compliance, in-application security, secure-by-design principles, and enterprise technology standards.

• Experience in designing for reusability, maintainability, observability, cost optimization, and management of technical debt.

• Excellent communication skills and the ability to collaborate with senior stakeholders, product teams, engineers, and architects in distributed teams.

• Proficiency in English at an advanced level.

• Desirable: experience with internal developer platforms, reusable engineering assets, or platform marketplace models.

• Desirable: experience with generative AI solution patterns, retrieval-augmented generation, prompt evaluation, automated testing, and AI governance guardrails.

• Desirable: familiarity with enterprise UX patterns, workflow automation, and low-code/no-code product capabilities.

• Desirable: certifications such as Azure Solutions Architect Expert, Azure Security Engineer, TOGAF, SAFe, or comparable architecture/security credentials.

🏝️ Benefits

• Cookies and website consent options are outlined; no specific role-related benefits, perks, or compensation details are provided.