Senior Software Engineer

Syngenta Seeds Field Crops is a global Ag Tech company focused on advancing agriculture through precision breeding, biotechnology, and digital platforms. The company is seeking a Senior Software Engineer to lead technical vision and build scalable software solutions for its Digital team, with responsibilities spanning architecture, development, mentorship, and cross-functional collaboration. The role also supports the integration of emerging technologies such as generative AI and DevSecOps to advance agricultural research and development.

Responsibilities:

• Lead the architectural design and implementation of high-performance, scalable software systems that address complex business needs
• Provide technical leadership and mentorship to the engineering team, fostering a culture of innovation and continuous improvement
• Collaborate with cross-functional teams to develop and execute product strategies and technology roadmaps
• Drive the adoption of best practices in software development, including coding standards, testing methodologies, and code review processes
• Evaluate and integrate emerging technologies to enhance our technological capabilities and maintain our competitive edge in agricultural technology

Requirements:

• ***PLEASE NOTE:***Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This includes, but is not limited to, OPT, CPT, and H-1B visa holders.
• • Bachelor's or Master's degree in Computer Science, Engineering, or a related STEM discipline
• • 10+ years of extensive architecture, design, and development experience
• • Expertise in Python, TypeScript, React, Java, cloud, SQL/NoSQL, and data lake/warehouse, such as Snowflake
• • Skilled in containerization and microservices
• • Proven experience in designing and implementing large-scale distributed systems
• • Strong understanding of software security and data protection
• • Leadership and team management skills. Being a team player
• • Excellent problem-solving and decision-making abilities
• • Preferred expertise in generative AI, agentic frameworks such as LangGraph, and machine learning model development
• • Experience in deploying ML models and supporting ML and AI teams is preferred