Deployment Engineering Lead
Deployment Engineering Lead
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Job Description
We are seeking an exceptional Deployment Engineering Lead to join our cutting-edge Computational Agronomy Department at Syngenta.
This role offers a unique opportunity to drive innovation at the intersection of agriculture and technology directly impacting global food production.
As the Deployment Engineering Lead you will transform complex agronomic models into scalable production-ready digital solutions shape our technological roadmap and lead a team of skilled engineers. Your responsibilities include strategic planning people management and cross-functional collaboration.
The ideal candidate possesses extensive experience in software engineering and deployment practices strong leadership and communication skills. The role demands a collaborative spirit and customer-centric approach requiring you to work closely with digital product managers engineering teams customer-facing teams and diverse stakeholders.
If youre ready to lead the charge in transforming how we approach agricultural challenges through advanced technology we invite you to apply and be part of this exciting journey.
Essential Duties & Responsibilities
- Lead and manage a cross-functional engineering team composed of backend and machine learning engineers focused on deploying digital agronomic solutions.
- Provide technical leadership and mentorship to a team of software engineers.
- Engage with stakeholders to understand business requirements and translate them into deployable software artifacts.
- Collaborate with DevOps data scientists and agronomists to ensure scalable secure and reliable solutions.
- Collaborate with remote sensing agronomic science and product teams to understand deployment needs and ensure seamless integration with platforms like Cropwise and the Insights Engine.
- Manage project timelines resources and deliverables while ensuring high-quality output.
- Proactively identify technical gaps and propose solutions to improve performance scalability and maintainability.
- Contribute directly to development efforts when needed maintaining close alignment with team deliverables.
- Conduct code reviews and ensure high standards of code quality testing and documentation.
- Own the deployment architecture to ensure scalable secure and reliable solutions.
- Design build and maintain model-serving APIs and services used across digital platforms.
Qualifications :
Knowledge Experience & Capabilities
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- 7 years of experience in software engineering including significant experience in backend development using Python (e.g. FastAPI).
- Extensive hands-on experience with AWS services (e.g. Lambda S3 ECS/EKS) Kubernetes and containerized environments
- Proven track record in deploying and maintaining machine learning models and microservice-based architectures in production environments
- Demonstrated expertise in MLOps practices and deep understanding of the ML model lifecycle.
- Hands-on experience with SQL and NoSQL databases monitoring tools (e.g. Datadog) and version control systems (e.g. GitHub GitLab)
- Proven experience in designing and implementing CI/CD pipelines for complex software systems
- 3 years of experience leading small engineering teams including mentoring and professional development of team members.
- Strong project management skills with the ability to balance strategic thinking and hands-on execution
- Experience in Agile methodologies and scaling engineering practices
- Excellent communication skills in English (written and verbal) with the ability to effectively engage with leadership and business stakeholders.
Additional Information :
- A culture that promotes work/life balance and celebrates diversity.
- Remote working from Spain.
- Extensive benefits package including a pension plan scheme bonus life insurance & a pool of flexible benefits to choose (Ticket Restaurant WellHub etc.)
- A role that contributes to valuable and impactful work in a stimulating and international environment.
- Learning culture and a wide range of development options including access to learning platforms (Degreed and LinkedIn Learning).
Equal Opportunity
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
