Architect | Remote

🏢 GSB Solutions · all GSB Solutions jobs (16)
📍 Mexico
💰 USD 115,000 - 115,000 / annual
📅 Posted 2026-09-06 · via Himalayas
🏷 Platform-Architecture,Cloud-Architecture,Solutions-Architect,Software-Architecture,Azure-Architecture,Senior-Remote-Architect,Senior-Architectural-Designer-Remote,Senior-Building-Architect-Remote,Remote-Solutions-Architect,Remote-Security-Architect,Remote-Data-Architect
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Important IT company At the Latin American level, growth requires:
Architect

Contract Architect | Fabric Platform Engineering Hands-on architecture role across reusable platform products, APIs, datastores, UX, cloud and AI-enabled engineering
What you will do

- Partner with Product Managers, Business Analysts and stakeholders to clarify outcomes, shape product vision and translate requirements into pragmatic architecture options.

- Produce concise architecture blueprints, high-level and low-level designs, technical decision records and implementation guidance for platform products.

- Design secure, scalable and reusable services, APIs, datastore patterns, integration approaches, UX-facing capabilities and common components.

- Work closely with engineering teams to turn architecture into implementation, including hands-on prototyping, code review, pair design, design assurance and technical debt management.

- Select appropriate technologies, promote reuse, define development standards and help create common frameworks or accelerators across the platform.

- Participate in planning and estimation, maintain the architecture backlog and make trade-offs across cost, risk, quality, security and time-to-market.

- Coordinate with other architects, security, platform and engineering teams to align designs with enterprise standards and delivery constraints.

- Apply AI-assisted and agentic engineering practices responsibly to improve delivery, quality, documentation, testing and developer productivity.

Required skills and experience

- Strong architecture experience across cloud-native application, integration, data and security domains, with the judgement to balance governance and delivery pace.

- Hands-on software engineering capability in at least one modern language such as C#, Java, JavaScript/TypeScript or Python, plus confidence reading and reviewing production code.

- Practical experience using agentic AI coding tools and AI-assisted delivery workflows, for example GitHub Copilot, Cursor, Windsurf, Claude Code, OpenAI Codex-style agents or similar tools.

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

- Experience with APIs, microservices, containers and Kubernetes, preferably AKS, plus CI/CD and DevSecOps practices using Azure DevOps and/or GitHub.

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

- Good understanding of compliance, in-application security, secure-by-design patterns and operating within enterprise technology standards.

- Experience designing for reusability, maintainability, observability, cost optimisation and technical debt control.

- Clear communication style, able to work with senior stakeholders, product teams, engineers and architects across distributed teams.

Desirable skills

- Experience with internal developer platforms, reusable engineering assets or platform marketplace models.

- Experience with generative AI solution patterns, retrieval-augmented generation, prompt evaluation, automated testing and AI governance guardrails.

- Familiarity with enterprise UX patterns, workflow automation and low-code/no-code product capabilities.

- Azure Solutions Architect Expert, Azure Security Engineer, TOGAF, SAFe or comparable architecture/security certification.

What good looks like

- Comfortable moving from strategy to code: can explain the architecture in a stakeholder meeting, then work with engineers on implementation details afterwards.

- Pragmatic rather than theoretical: makes sensible trade-offs, documents decisions clearly and keeps teams unblocked.

- Reuse-minded: looks for common patterns and components that can help multiple Fabric products, not just the immediate delivery need.

- Fluent in AI-enabled engineering, but grounded in security, reliability, maintainability and

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