Staff Engineer Screening Operations and Logistics

We are looking for a Staff Engineer Screening Ops & Logistics to develop applications supporting research screening operations logistics and scientific workflows. This is an opportunity to work at the intersection of advanced technology and agricultural R&D partnering with engineers product leaders and scientific stakeholders on capabilities with real-world impact. Help accelerate the digital capabilities that support more sustainable agriculture and scientific innovation.

What Youll Do

• Lead and apply deep expertise in Python or Java backend engineering to deliver durable scalable outcomes.
• Lead and apply deep expertise in software architecture and integration patterns to deliver durable scalable outcomes.
• Lead and apply deep expertise in AI-assisted engineering with rigorous review to deliver durable scalable outcomes.
• Lead and apply deep expertise in React or Angular frontend development to deliver durable scalable outcomes.
• Lead and apply deep expertise in quality testing and documentation standards to deliver durable scalable outcomes.
• Lead and apply deep expertise in screening and logistics workflow learning agility to deliver durable scalable outcomes.
• 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.
• Own end-to-end technical solutions for screening operations and logistics systems ensuring reliability and performance at scale.
• Mentor and guide junior engineers on best practices in backend development system design and code quality.
• Drive continuous improvement initiatives to optimize system performance reduce technical debt and enhance operational efficiency.
• Communicate technical decisions and architectural trade-offs clearly to both technical and non-technical stakeholders.

Qualifications :

**What You Bring**

• Demonstrable experience in Python or Java backend engineering
• Demonstrable experience in software architecture and integration patterns
• Demonstrable experience in AI-assisted engineering with rigorous review
• Demonstrable experience in React or Angular awareness
• Demonstrable experience in quality test and documentation standards
• Demonstrable experience in screening and logistics workflow learning agility
• Demonstrable experience in technical leadership without line authority
• Strong communication skills and the ability to influence across technical and non-technical stakeholders
• Fluent English written and spoken
• Demonstrable experience in system design and building scalable solutions
• Demonstrable experience in database design optimization and performance tuning
• Demonstrable experience in CI/CD pipelines and DevOps practices

**Bonus Points**

• Experience in agriculture life sciences scientific computing or a regulated enterprise environment
• Experience building platforms products or services used by multiple internal teams
• Experience working in distributed international engineering organisations
• Experience mentoring junior engineers and fostering team development
• Experience with monitoring observability and performance optimization in production systems

Additional Information :

What we offer 

• Extensive benefits package including a generous pension scheme bonus scheme private medical & life insurance. 

• Up to 31.5 days annual holiday. 

• Flexible working 

• We offer a position which contributes to valuable and impactful work in a stimulating and international environment. 

• The opportunity to develop and apply your science within the chemical industry. 

• The chance to work as part of a global team to address the current and future needs of the agricultural sector. 

• Learning culture and wide range of training options. 

Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal.  

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. Learn more about our D&I initiatives here:  Work :

No

Employment Type :

Full-time