Principal Engineer

Youtopia LLC•Lakewood, CO

8d•$160 - $180•Hybrid

About The Position

At Youtopia Marketplace, we’re engineering the future of human health and longevity through Precision Nourishment Automation. Our tribe is grounded in love, driven by purpose, and unified by the belief that vibrant health should be effortless and available to everyone. Getting healthy today is almost impossible. Confusing. Overwhelming. Fragmented. Youtopia is ending that. At Youtopia, we use diagnostic testing, advanced nutrient modeling, and an AI-driven meal-matching engine to determine each person’s exact nutrient needs—and flawlessly match those needs with toxin-free, locally made, chef-crafted meals. It’s personalized nutrition, automated. We are preparing for one of the most ambitious launches in consumer health history—and we’re assembling a world-class engineering team to build the secure, intelligent, scalable platform behind it. If you’re a high-impact Principal Engineer who wants to work with modern technology, own critical systems, and directly improve millions of lives, this is your opportunity. Youtopia, a Colorado-based startup, has an opening for a Principal Engineer. This role is hybrid or full time office preferred. Candidates must reside in the greater Denver Metro area. The strongest fits for this role will have exposure to some or all of these technologies and skills: Strong mathematical background with expertise in algorithm design and optimization Proficiency in C# / .NET Core, Ionic, Angular, and TypeScript Experience with Azure Functions, WebApi, and cloud technologies (Azure preferred) Expertise in data structures, graph algorithms, and computational complexity analysis Entity Framework / Azure SQL and CosmosDB Designing and implementing machine learning or AI-driven algorithms Docker and containerized environments Creating and maintaining CI/CD pipelines Event-driven architectures and workflows Familiarity with front-end technologies (HTML5, CSS3, JavaScript) for full-stack contributions Experience with hybrid mobile app development (iOS and Android) Proficiency in performance profiling and optimization techniques Knowledge of statistical modeling and numerical methods

Requirements

10+ years of experience developing software applications, with a proven track record of delivering complex, algorithm-heavy solutions.
Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Engineering, or a related degree required.
Exceptional expertise in algorithm design, optimization, and analysis, with a strong mathematical background (e.g., linear algebra, probability, discrete mathematics).
Strong proficiency in C# / .NET Core, Ionic, Angular, and TypeScript for building web and mobile applications.
Experience designing and implementing machine learning or AI-driven algorithms for data-driven applications.
Expertise with relational (Azure SQL) and non-relational (CosmosDB) databases, with a focus on data modeling for algorithmic efficiency.
Proficiency in cloud technologies (Azure preferred) and deploying applications in containerized environments (Docker).
Ability to mentor engineers in algorithm design, data structures, and performance optimization.
Comfortable modernizing legacy systems and integrating modern algorithmic approaches.
Proven ability to troubleshoot and resolve complex technical and mathematical issues independently.
Experience with performance profiling, optimization techniques, and computational complexity analysis.
Familiarity with front-end technologies (HTML5, CSS3, JavaScript) for full-stack contributions.
Proficiency in designing and integrating RESTful APIs and event-driven workflows.
Knowledge of statistical modeling, numerical methods, and optimization techniques.
Positive attitude and the ability to energize and uplift team members.
Commitment to fostering a positive, inclusive team culture.
Resourcefulness and independence in solving complex technical and mathematical challenges.
Strategic and tactical thinker, aligning technical and algorithmic decisions with broader business objectives.
Openness to feedback, with strong communication and interpersonal skills.
Proactive initiative in addressing project needs and client deliverables.
Ability to work independently, proactively seeking solutions before escalating.
Confidence in contributing ideas and collaborating openly with teammates.
Excellent written and verbal communication skills, transparent about progress, challenges, and successes.
Embraces continuous learning and remains curious about new technologies, mathematical methodologies, and algorithmic advancements.
Demonstrates humility and openness to ask questions and seek clarity when uncertain.

Responsibilities

Lead the design and development of complex algorithms to support Youtopia’s AI-driven precision nourishment platform, ensuring scalability and performance.
Architect, develop, and maintain robust engineering solutions for B2B/B2C web and mobile applications, leveraging a strong mathematical foundation.
Write, review, and maintain high-quality, maintainable code with a focus on algorithmic efficiency; actively participate in peer code reviews.
Collaborate in daily stand-ups, providing clear updates, transparent feedback, and leadership on technical challenges and blockers.
Drive technical grooming sessions, clarifying requirements, assessing algorithmic feasibility, and collaborating with Project Managers and cross-functional teams.
Design and optimize data models and algorithms to support personalized nutrition matching and diagnostic-driven recommendations.
Lead architecture discussions, defining technical roadmaps, and ensuring alignment with business objectives and product goals.
Develop and implement machine learning or AI-driven algorithms to enhance platform functionality, such as nutrient analysis and meal personalization.
Participate actively in agile ceremonies, contributing strategic insights to improve the software development process.
Engage with clients and stakeholders to translate complex requirements into mathematically sound technical solutions.
Create technical specifications, justify algorithmic decisions, and balance trade-offs in relation to project constraints (time, scope, budget).
Independently prioritize and manage workload, aligning with team priorities and sprint goals while mentoring others.
Implement and maintain complex, data-driven applications, ensuring scalability, performance, and mathematical accuracy.
Execute full lifecycle development, from algorithm design and coding through testing, deployment, and ongoing optimization.
Mentor engineers by addressing technical questions, troubleshooting algorithmic challenges, and fostering a collaborative engineering environment.
Stay informed about emerging technologies, mathematical methodologies, and algorithmic advancements, sharing insights to elevate team practices.