Principal Engineer, Software Full Stack

About the Role

Key Responsibilities

• Drives engineering projects by developing software solutions, conducting tests and inspections, and preparing reports and calculations. Supervises base and associate level engineers as needed.
• Understands system protocols, system operations, and data flows. Independently develops a full software stack, understanding building blocks, interactions, dependencies, and tools required for software and automation work.
• Contributes to designs to implement new ideas utilizing new frameworks to improve existing or new systems, processes, or services.
• Reviews existing designs and processes to identify more efficient methods based on industry perspectives.
• Collaborates with technical teams, utilizing system expertise to deliver technical solutions.
• Continuously learns and teaches others about existing and new technologies.
• Mentors colleagues through workshops and learning sessions.
• Contributes to technology strategy by supporting business goals and understanding current technology benefits.
• Writes basic documentation on technology, systems designs, presentations, and business requirements.

Requirements

• Bachelor's Degree in Computer Science or Engineering.
• 7-10 years of technical engineering experience.
• Experience with Generative AI technologies and building/ integrating advanced AI functionalities.
• Implementing and managing micro-services architecture for scalability and flexibility.
• Developing APIs to interact with Large Language Models (LLMs) and other AI components.
• Experience with Cloud services (Azure preferred) and platform knowledge.
• Experience with developing and deploying applications in Kubernetes.
• Proficiency in full-stack development, including front-end and back-end technologies.
• Strong understanding of software quality and scalability principles.
• Excellent communication, customer service, analytics, and technical writing skills.
• At least 18 years of age and legally authorized to work in the United States.

Nice to Have

• Experience with cloud services (Azure preferred) and platform knowledge.
• Experience with developing and deploying applications in Kubernetes.
• Familiarity with the latest advancements in AI and ML technologies.

Qualifications

• Bachelor's Degree in Computer Science or Engineering.
• 7-10 years of technical engineering experience.

Benefits & Perks

• Competitive base salary and compensation package including annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches.
• Full and part-time employees have access to medical, dental, and vision insurance, flexible spending accounts, paid time off, up to 12 paid holidays, paid parental and family leave, family building benefits, childcare subsidy, tuition assistance, disability and voluntary insurance options.
• Mobile service and home internet discounts, pet insurance, commuter and transit programs.
• Opportunities for career growth and development in a dynamic, inclusive environment.