Well Integrity Tech Lead: AI, Cloud & Engineering Software

Dalmine SPA

Veracruz

Presencial

MXN 800.000 - 1.100.000

Jornada completa

14 días+

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Descripción de la vacante

Dalmine SPA in Veracruz is seeking a Well Integrity Services Leader to design, develop, and support software for well construction operations. You will create full-stack solutions, including interfaces, APIs, databases, and cloud services, while advancing ML models, AI agents, and automation for decision support.

You will deploy physics-based models, engineering calculators, and uphold DevOps practices to ensure reliable delivery.

Formación

  • Hands-on software engineering experience across full-stack development.
  • Experience with cloud-native apps, APIs, databases, and integrations.
  • Proven ability to build ML/AI-enabled workflows and analytics products.

Responsabilidades

  • Design, develop, test, deploy, and support software for well construction operations.
  • Build full-stack solutions including user interfaces, APIs, and cloud services.
  • Develop ML models, AI agents, and workflow automation for decision support.
  • Deploy physics-based models and engineering calculation engines to production.
  • Apply DevOps, CI/CD, monitoring, and observability for reliable delivery.
  • Collaborate with engineers and stakeholders to translate needs into software.
  • Validate software using field data, testing, and user feedback.
  • Troubleshoot issues and optimize performance across systems.
  • Contribute to technical docs, code reviews, and architecture decisions.
  • Evaluate new tech to enhance products and workflows.

Conocimientos

Software engineering
Cloud-native development
DevOps
CI/CD
Machine learning
AI agents
Workflow automation
Data analytics

Herramientas

APIs
Databases
Cloud services
Simulation tools

Descripción del empleo

Dalmine SPA in Veracruz is seeking a Well Integrity Services Leader to design, develop, and support software for well construction operations. You will create full-stack solutions, including interfaces, APIs, databases, and cloud services, while advancing ML models, AI agents, and automation for decision support.

You will deploy physics-based models, engineering calculators, and uphold DevOps practices to ensure reliable delivery.

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