20 publicaciones de empleo destacadas de software developer | ai driven engineering en loreto cdmx (¡Están contratando!)

QA Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
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Golang Sr Developer
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1015 - Product Designer · Sr · Remote · LATAM
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- Home Office (Desde casa)
- Inglés
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Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
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SDET (TESTER ) .Net Developer
Delinea —Ciudad de México, CDMX
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- Azure
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Staff Software Engineer, Core Infrastructure
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- CAD
- Capacitación
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Technical Project Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
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- Administración de personal
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AWS Glue
NTT Ltd —Ciudad de México, CDMX
- Administración de personal
- DevOps
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SDET
Codal —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Postulación rápida
3d
Senior Software Engineer (Mexico)
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
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Senior Software Engineer C#/.NET - Platform Enablement
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
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12d
Sr. Manager Software Engineering (Individual Contributor)
Capital One —Ciudad de México, CDMX
- Correo electrónico
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Restaurant Tech Support Specialist
Restaurant365 —Ciudad de México, CDMX
- $22,000 a $29,250 por mes
- Tiempo completo
- Trabajo híbrido
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- ERP systems
- Seguro dental
- Seguro de la vista
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Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
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- Informática
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EHSS Platform Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
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Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos

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QA Engineer II, Mexico City (MX)

Swiss Re -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Azure
Node.js
Kubernetes
Docker
Mejora continua
JavaScript
Angular
Desarrollo de software
Debugging

Descripción completa del empleo

Location: Mexico City, MX

About the Role

You are a Quality Engineer with strong experience in modern software delivery environments and a passion for building fully automated, AI-enhanced quality engineering practices.

You believe quality is engineered into systems from the beginning — not validated at the end — and you actively promote shift-left testing, automation-first thinking, and continuous validation throughout the software lifecycle.

You work closely with software engineers, product owners, DevSecOps engineers, and architects to ensure applications are scalable, secure, resilient, and production-ready. You are comfortable working across frontend, backend, APIs, cloud-native platforms, and CI/CD pipelines.

You are excited by emerging AI-assisted engineering capabilities and understand how AI can improve test generation, validation, diagnostics, coverage analysis, and operational quality insights.

Responsibilities

Shift-Left Quality Engineering

Embed quality engineering practices early in the software development lifecycle
Collaborate with engineers and product owners during requirements and design phases
Define test strategies and acceptance criteria before implementation begins
Drive quality-focused engineering practices across frontend, backend, APIs, and integrations

Test Automation Engineering

Design, build, and maintain automated test frameworks and pipelines
Develop automated unit, integration, API, UI, regression, and end-to-end tests
Implement scalable test automation for Angular frontend and Node.js backend applications
Integrate automated testing into CI/CD pipelines and deployment workflows
Improve test reliability, coverage, execution speed, and maintainability

AI-Enhanced QA & Validation

Use AI-assisted tools to accelerate test creation, validation, and diagnostics
Validate AI-generated test cases, automation scripts, and quality artifacts
Apply AI capabilities for intelligent test selection, defect analysis, and coverage optimization
Support emerging engineering approaches focused on specification-driven and validation-first delivery
Contribute to deterministic, machine-readable testing and validation strategies

Cloud, Platform & Operational Quality

Support quality validation across Azure cloud environments and Kubernetes platforms
Participate in performance, resilience, security, and operational testing activities
Contribute to observability, monitoring validation, and production quality initiatives
Help validate deployment automation and infrastructure reliability

Security & Quality Governance

Validate authentication and authorization implementations using OAuth2 and JWT-based security models
Support secure development lifecycle practices and automated security validation
Participate in code reviews, defect analysis, and root cause investigations
Promote engineering standards, testing best practices, and continuous improvement

Required Experience & Capabilities

3–6 years of software quality engineering or test automation experience
Strong experience with automated testing frameworks and tooling
Experience testing Angular frontend and API/backend services
Familiarity with Node.js applications and distributed systems
Experience with CI/CD pipelines and automated deployment workflows
Familiarity with Docker and Kubernetes environments
Experience working in Azure cloud environments preferred Understanding of OAuth2, JWT tokens, and application security concepts
Strong analytical, troubleshooting, and debugging skills
Experience writing technical documentation and test strategies

Growth Potential Signals

Strong automation-first mindset
Passion for improving engineering quality and developer productivity
Interest in AI-assisted engineering and autonomous quality validation
Ability to think in end-to-end systems and workflows
Strong communication and collaboration skills
Continuous learner who stays current with emerging quality engineering practices

About the Team

The CorSo Accident and Health team is building innovative, cloud-native insurance technology platforms designed for the future.

We operate with a startup mentality, move quickly, challenge conventional approaches, and leverage modern engineering and AI-assisted capabilities to deliver differentiated solutions in a competitive marketplace

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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Reference Code: 138225

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software developer | ai driven engineering empleos en loreto cdmx

QA Engineer II, Mexico City (MX)

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