MB - Lead Software Engineer

US Based Salary: $109,433.96 - $160,000 DOE

NGP VAN is the winningest technology platform in the history of democratic and progressive causes, working tirelessly to innovate and advance the technology our clients rely on to bolster our democracy. We help power the trailblazers, campaigners, and advocates fighting up and down the ticket for equality, racial justice, reproductive freedom, democracy, climate reform, and more— including the national Democratic committees and progressive organizations, thousands of Democratic campaigns, hundreds of labor unions, advocacy organizations, progressive and non-partisan PACs, and other organizations.

As a Lead Software Engineer, you will work closely with cross-functional teams to ensure the technical health and quality of our product. You will use AI tools, services, and methodologies to drive innovation and enhance the software development lifecycle and build new features in the product. This role is ideal for someone who thrives in a collaborative environment and is passionate about driving the success of engineering initiatives while mentoring and guiding others.

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  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.

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  Contribute and support successful sprint planning, execution, and retrospectives for features. Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos.

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  Work closely with product management, data science teams, and other engineering teams to define product features, manage project scope, and align on priorities.

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  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.

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  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.

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  Create comprehensive documentation and training materials to improve team efficiency, ensure knowledge sharing, and facilitate onboarding, particularly in AI technologies.

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  Mentor and guide team members, fostering a culture of continuous learning.

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  Contribute high-quality code to the product, including optimizing algorithms, maintaining high availability and uptime, and implementing AI-driven features.

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  Regularly evaluate and refine engineering processes, with a particular focus on improving workflows for development, AI technologies, testing, and deployment.

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  Collaborate with DevOps and SaaS Teams: work together with DevOps and SaaS teams to implement and maintain CI/CD pipelines.

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  Cultivate a Positive Company Culture: Foster a company culture that values cross-team collaboration and trust.

• 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.

At this time, we are unable to consider candidates who require current or future sponsorship for employment authorization.

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At NGP VAN, we foster an inclusive, equitable culture where every team member belongs and contributes to meaningful impact. Read more about our values and culture here.

At NGP VAN, we are proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, or any other characteristic protected by law.

If you require a reasonable accommodation during the application process, please submit a request.