AI Platform Engineer: Java & Spring Boot

Syngenta; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Impactful work

Challenging projects

Collaborative culture

Growth opportunities

Descripción de la vacante

Syngenta Crop Protection is seeking an AI Engineer — Java to enhance the Java layer of our internal developer platform. You will work on templates, shared libraries, runtime standards and quality tooling, partnering with engineers, product leaders and scientists to enable sustainable agriculture through advanced digital capabilities.

You will lead with Java 17+, Spring Boot, and modern toolchains, shaping AI‑driven development across global teams and ensuring high-quality, observable systems

Formación

• Demonstrable experience in Modern Java 17+, Spring Boot and Maven/Gradle.
• Demonstrable experience in Shared libraries and service templates.
• Demonstrable experience in AI‑assisted engineering with rigorous evaluation.
• Demonstrable experience in GitLab CI/CD, Docker, Kubernetes and Terraform.
• Demonstrable experience in Test engineering: JUnit, Mockito and contract testing.
• Demonstrable experience in Documentation‑as‑code and agent‑consumable interfaces.
• Demonstrable experience in Internal platform thinking.
• Proven expertise in designing and architecting scalable, distributed systems.
• Strong background in application performance optimization and observability practices.
• Experience conducting code reviews, mentoring engineers, and establishing best practices.
• Strong communication skills and the ability to influence across technical and non‑technical stakeholders.
• Fluent English, written and spoken.

Responsabilidades

• Lead and apply deep expertise in Modern Java 17+, Spring Boot and Maven/Gradle to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Shared libraries and service templates to deliver durable, scalable outcomes.
• Lead and apply deep expertise in AI‑assisted engineering with rigorous evaluation to deliver durable, scalable outcomes.
• Lead and apply deep expertise in GitLab CI/CD, Docker, Kubernetes and Terraform to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Test engineering: JUnit, Mockito and contract testing to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Documentation‑as‑code and agent‑consumable interfaces to deliver durable, scalable outcomes.
• Design and architect scalable solutions that integrate AI capabilities with existing Java‑based systems and frameworks.
• Optimize application performance, monitor system health, and implement observability practices across the platform.
• Conduct thorough code reviews, mentor junior engineers, and establish best practices for AI‑assisted development workflows.
• Collaborate across engineering, product and scientific teams to translate complex needs into practical solutions.
• Set a high bar for quality, documentation and thoughtful use of AI‑assisted engineering.

Conocimientos

Java 17+

Spring Boot

Maven/Gradle

AI-assisted engineering

GitLab CI/CD

Docker

Kubernetes

Terraform

JUnit/Mockito

Docs-as-code

Observability

Platform thinking

Communication

English fluency

Herramientas

GitLab CI/CD

Docker

Kubernetes

Terraform

Maven/Gradle

Spring Boot

Java 17+

Descripción del empleo

Syngenta Crop Protection is seeking an AI Engineer — Java to enhance the Java layer of our internal developer platform. You will work on templates, shared libraries, runtime standards and quality tooling, partnering with engineers, product leaders and scientists to enable sustainable agriculture through advanced digital capabilities.

You will lead with Java 17+, Spring Boot, and modern toolchains, shaping AI‑driven development across global teams and ensuring high-quality, observable systems