Main Responsibilities

- 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.

Experience

- 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.

Knowledge

- 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.

Skills

- 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.

📌 Well Integrity Services Leader (Veracruz)
🏢 Tenaris
📍 Veracruz