3 publicaciones de empleo destacadas de field support en veracruz ver. (¡Están contratando!)

Well Integrity Services Leader
Tenaris —Veracruz, Ver.
- DevOps
- Desarrollo de software
6d
Lead Service Engineer
HMH —Veracruz, Ver.
- Tiempo completo
- Bachillerato
Engineering Manager - Commercial Integration
Targan Inc —Veracruz, Ver.
- Incluye fines de semana
- AutoCAD
- Inglés
- Maestría
Postulación rápida

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field support jobs near veracruz ver.

Design, develop, test, deploy, and support software applications used in well construction operations.
Develop full-stack solutions, including user interfaces, APIs, databases, integrations, and cloud-based services.
Develop machine learning models, AI agents, workflow automation solutions, and advanced analytics applications.
Deploy and maintain physics-based models, numerical simulations, and engineering calculation engines.
Implement DevOps, CI/CD, monitoring, and observability practices to ensure reliable software delivery and operation.
Collaborate with engineers and business stakeholders to define requirements and translate operational needs into software solutions.
Validate software, models, and analytical tools using field data, testing, and user feedback.
Troubleshoot production issues, optimize system performance, and support software deployments.
Contribute to technical documentation, code reviews, architecture decisions, and software development standards.
Evaluate emerging technologies and identify opportunities to improve products, workflows, and engineering capabilities.

Hands-on experience in software engineering, cloud-native application development, and digital product delivery.
Active involvement in coding, testing, deployment, architecture, and operational support of engineering software, APIs, databases, integrations, and cloud services.
Experience developing machine learning models, AI agents, workflow automation, and decision-support systems.
Experience in scientific computing, physics-based modeling, simulation tools, engineering algorithms, predictive models, and AI-enabled solutions.
Experience transforming operational challenges into scalable digital products and decision-support tools.

Software engineering and cloud-native application development.
Engineering software, APIs, databases, integrations, and cloud services.
Scientific computing and physics-based modeling.
Simulation tools, engineering algorithms, and predictive models.
Machine learning, artificial intelligence, AI agents, workflow automation, and decision-support systems.
Data analytics and advanced analytical applications.
DevOps, CI/CD, monitoring, and observability practices.
Software architecture and digital product development.

Ability to transform operational challenges into scalable digital products and decision-support tools.
Strong collaboration skills to work effectively with engineers, developers, and business stakeholders.
Innovation mindset to identify opportunities, prototype new ideas, evaluate emerging technologies, and transform concepts into production-ready solutions.
Analytical skills to validate software, models, and analytical tools using field data, testing, and user feedback.
Problem-solving skills to troubleshoot production issues and optimize system performance.
Ability to contribute to technical documentation, code reviews, architecture decisions, and software development standards.