MB - Lead Software Engineer

Bonterra, through its technology platform NGP VAN, supports democratic and progressive causes. The Lead Software Engineer will collaborate with cross-functional teams to ensure product quality, drive innovation using AI tools, and mentor team members while enhancing the software development lifecycle.

Responsibilities:

• Own the technical health and quality of existing features and new AI-powered features, ensuring alignment with overall product goals while maintaining high engineering standards
• Contribute and support successful sprint planning, execution, and retrospectives for features. Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos
• Work closely with product management, data science teams, and other engineering teams to define product features, manage project scope, and align on priorities
• Collaborate with Lead Engineers, Engineering Managers, and Architects: work closely with others to design, develop, and deliver large-scale data applications utilizing LLMs and other AI tools to enhance product delivery
• Contribute to the continuous improvement of product technologies, ensuring the team remains at the forefront of emerging trends in AI, machine learning, and data science
• Create comprehensive documentation and training materials to improve team efficiency, ensure knowledge sharing, and facilitate onboarding, particularly in AI technologies
• Mentor and guide team members, fostering a culture of continuous learning
• Contribute high-quality code to the product, including optimizing algorithms, maintaining high availability and uptime, and implementing AI-driven features
• Regularly evaluate and refine engineering processes, with a particular focus on improving workflows for development, AI technologies, testing, and deployment
• Collaborate with DevOps and SaaS Teams: work together with DevOps and SaaS teams to implement and maintain CI/CD pipelines
• Cultivate a Positive Company Culture: Foster a company culture that values cross-team collaboration and trust

Requirements:

• 5+ years of full stack Software Development experience, including design patterns and data structures
• Proficiency with key application technologies: Django, Python, Postgres databases, and AWS ECS. Expertise with AWS cloud infrastructure and deployment models, including automation, orchestration, and scale
• Excellent cross-functional communication skills, with the ability to work closely with data science teams, product managers, and other engineering teams
• Strong experience with Agile methodologies, including Kanban, stand-ups, and retrospectives
• Strong problem-solving skills with a focus on delivering solutions to complex technical challenges in AI and software engineering
• Proficient at using AI tools and prompt engineering methods to solve software engineering problems
• Experience incorporating AI technologies, such as LLMs, into existing software products
• Experience mentoring junior engineers and driving a collaborative, team-first culture
• Fine attention to detail and encouraging approach in communicating concerns and suggestions in Code Reviews
• Strong front-end experience with React, Typescript, and Node
• Experience with deep learning, NLP, or reinforcement learning
• Proven experience in developing and deploying AI models, machine learning algorithms, or data-driven solutions in production environments
• Familiarity with introducing AI applications into DevOps practices, CI/CD pipelines, and modern software delivery using industry standard tools such as Claude Code, ChatGPT, Cursor, or Windsurf