5 publicaciones de empleo destacadas de data analyst engineer en loreto cdmx (¡Están contratando!)

Architect | Remote
GSB Solutions —Ciudad de México, CDMX
- $115,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
20h
Fraud Data Analyst
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
5h
IBP Support Engineer
PepsiCo —Miguel Hidalgo, CDMX
- Liderazgo
Capital Markets Tech Lead
GFT Technologies SE —San Miguel Chapultepec I Sección, CDMX
- Azure
- Administración de personal
- Experiencia en ventas
- Seguro dental
- Seguro de vida
Software Engineer, Privacy
Lyft —Ciudad de México, CDMX
- Inglés
- Investigación
- Java

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Buscamos a profesionales con experiencia en atención al cliente y prevención de fraudes (al menos 1 año de experiencia en gestión de riesgos de transacciones…
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Architect | Remote

GSB Solutions -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$115,000 por año
Hace 20 horas

Cualificaciones

SAFe
Azure
Administración de personal
Ingeniería de software
Kubernetes
Plurilingüe
DevOps
C#
Inglés
Java
Licenciatura
JavaScript
UX
Seguridad
TypeScript
Python

Descripción completa del empleo

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 enterprise delivery standards.

ADVANCED CONVERSATIONAL ENGLISH AND SPANISH ESSENTIAL (Will be evaluated).

If you are a foreingner residing in Mexico, you must have a valid INE, CURP, NSS and RFC.

Job type: Remote.

Location: Mexico

Salary: $115,000 gross

Benefits: Excellent superior benefits.

Postulación rápida

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data analyst engineer empleos en loreto cdmx

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