Senior Software Engineer

Role Description

We are seeking an exceptional Senior Software Engineer to spearhead our technical vision and drive the implementation of complex technology solutions in our Digital team. This pivotal role combines technical leadership with hands-on development, requiring expertise in Python, JavaScript (React), Java, SQL/NoSQL databases, cloud technologies, and data lake/warehouse solutions like Snowflake. The ideal candidate will thrive in our remote work environment, architecting scalable software systems, mentoring team members, and collaborating across functions to shape product strategy. You will be at the forefront of integrating cutting-edge technologies, including agentic/generative AI and DevSecOps practices, to advance seeds research and development in agricultural technology.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members.
• Offers flexible work options to support your work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.