Deployment Engineering Lead

extra holidays - extra parental leave
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master’s degree in Computer Science, Engineering, or related field., 7+ years of experience in software engineering, especially backend development with Python., Extensive hands-on experience with AWS services, Kubernetes, and containerized environments., Proven leadership experience in managing engineering teams and deploying machine learning models..

Key responsibilities:

  • Lead and manage a cross-functional team of engineers focused on deploying digital agronomic solutions.
  • Provide technical leadership, mentorship, and ensure high-quality software development.
  • Collaborate with stakeholders and cross-disciplinary teams to understand deployment needs and ensure seamless integration.
  • Manage project timelines, resources, and contribute to development efforts when necessary.

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Syngenta Large http://www.syngenta.com
10001 Employees
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Job description

Company Description

Syngenta Group, a global leader in agricultural technology and innovation, employs 60,000 people across more than 100 countries to transform agriculture through tailormade solutions for farmers, society, and our planet. Our diverse portfolio encompasses seeds, crop protection, nutrition products, agronomic solutions, and digital services, all designed to help farmers produce healthy food, feed, fiber, and fuel while conserving natural resources and protecting the environment. Our mission is to address critical challenges such as climate change and food security through sustainable practices and cuttingedge solutions, while safeguarding the planets resources.

Job Description

We are seeking an exceptional Deployment Engineering Lead to join our cuttingedge 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, productionready digital solutions, shape our technological roadmap, and lead a team of skilled engineers. Your responsibilities include strategic planning, people management, and crossfunctional 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 customercentric approach, requiring you to work closely with digital product managers, engineering teams, customerfacing 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 crossfunctional 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 highquality 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 modelserving APIs and services used across digital platforms.
    • Qualifications

      Knowledge, Experience & Capabilities

      • Bachelors or Master’s 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 handson experience with AWS services (e.g., Lambda, S3, ECSEKS), Kubernetes, and containerized environments
      • Proven track record in deploying and maintaining machine learning models and microservicebased architectures in production environments
      • Demonstrated expertise in MLOps practices and deep understanding of the ML model lifecycle.
      • Handson 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 CICD 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 handson 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 worklife 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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Leadership

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