
10,000+ employees
🌾 Agriculture
🧬 Biotechnology
Agriculture • Biotechnology • Health care
Syngenta Group is a world leader in agricultural technology and innovation, striving to transform agriculture through tailor-made solutions that benefit farmers, society, and the planet. With a presence in over 100 countries and a workforce of 60,000 people, the company specializes in crop protection, seeds, and sustainable agricultural practices, aiming to enhance productivity and sustainability in agriculture.
🔥 6 minutes ago
Where this job comes from
Posted on Syngenta Group's careers page, not through a job board
First seen by Remote Rocketship 6 minutes ago

10,000+ employees
🌾 Agriculture
🧬 Biotechnology
Agriculture • Biotechnology • Health care
Syngenta Group is a world leader in agricultural technology and innovation, striving to transform agriculture through tailor-made solutions that benefit farmers, society, and the planet. With a presence in over 100 countries and a workforce of 60,000 people, the company specializes in crop protection, seeds, and sustainable agricultural practices, aiming to enhance productivity and sustainability in agriculture.
• Establish and enforce technical direction and architectural decisions for analytics, insights, prediction services, and product integrations • Develop, review, prototype, and investigate complex technical problems • Establish and maintain engineering quality standards, testing protocols, documentation, and code review practices • Collaborate with Product Managers, engineers, and stakeholders to define priorities, constraints, and technical risks • Provide technical leadership across relevant teams • Contribute to cross-functional engineering standards and disseminate proven technical patterns • Participate in technical discussions and governance processes • Drive resolution of critical technical challenges • Direct performance optimization, scalability improvements, and reliability enhancements across backend and frontend services • Mentor junior and mid-level engineers • Assess emerging technologies and frameworks for analytics and AI-assisted engineering • Lead incident response and post-mortem processes • Own the Knowledge Management area, including technology selection, integration patterns, data access architecture, API design, and AI-assisted document ingestion and retrieval systems • Perform hands-on engineering for 50–60% of the role, coding and reviewing in Python or Java • Define and enforce engineering quality standards for the area • Align technical standards across engineering groups • Serve as primary technical counterpart to Product Management • Translate roadmap priorities into technical delivery estimates and surface technical risks • Engage with regulatory specialists as required
• Demonstrated expertise in software engineering with proven success building and operating production systems at scale • Mastery of system design and ability to evaluate technical trade-offs and assume accountability for architectural decisions in production environments • Hands-on proficiency in coding, code review, prototyping, and technical investigation • Expert-level backend engineering skills in Python or Java • Architecture-level understanding of data access patterns, API design, document ingestion pipelines, and text embedding model integration • Expert-level system architecture capability • Advanced technical leadership without requiring formal line authority • Proficiency in both backend and frontend technologies, with documented depth in at least one domain • Working knowledge of React or Angular • Extensive experience with performance optimization, scalability analysis, and system reliability engineering across distributed systems • Proven track record mentoring and developing engineering talent at multiple career levels • Demonstrated success managing complex technical projects to completion • Experience with incident response, post-mortem analysis, and continuous improvement methodologies • Participation in or leadership of technical governance, standards-setting, and architectural review processes across multiple teams • Expert practice using AI coding tools as a primary workflow and ability to critically evaluate AI-generated code • Commitment to test coverage, merge-gate rules, agent-consumable interfaces, and documentation-as-code standards • Ability to communicate technical trade-offs clearly to regulatory specialists and product teams • Ability to learn domain requirements and establish credibility with stakeholders • Experience with software supporting analytics, machine learning, prediction services, or integrations • Full-time availability
• Generous pension scheme • Bonus scheme • Private medical insurance • Life insurance • Up to 31.5 days annual holiday • Flexible working • Learning culture • Wide range of training options
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⏰ Full Time
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