What You'll Bring

Qualifications

BS/MS in Computer Science or related field, or equivalent practical experience
7+ years of experience building and delivering enterprise-grade applications
Solid understanding of algorithms, design patterns, and software architecture
Strong experience developing applications using JavaScript and mid-tier languages like Java
Proficiency in building scalable, accessible, and internationalized applications across web and mobile
Experience developing and deploying applications in cloud environments
Hands-on knowledge of microservices architecture, CI/CD pipelines, container technologies (e.g., Kubernetes, Docker, Mesos)
Strong experience in SQL and NoSQL database design and performance optimization
Background in test automation and TDD, including unit, integration, and functional testing

AI & Emerging Tech

Practical experience integrating AI models into applications (e.g., LLM prompting, AutoML, embedding models)
Skilled in evaluating and monitoring AI performance in production environments
Ability to lead AI integration efforts while mentoring other engineers on leveraging AI
Understanding of best practices for safely and efficiently using AI in production systems

Soft Skills

Strong communicator with the ability to influence across engineering, product, and executive teams
Experience collaborating with data scientists, AI researchers, product managers, and cross-functional peers
Passion for mentoring, growing others, and sharing knowledge across teams

How You Will Lead

Responsibilities

Drive significant, cross-cutting technology initiatives from design to production
Architect and develop durable, scalable, and secure systems that interact with multiple platforms
Collaborate across teams to design AI-integrated solutions that deliver high business impact
Provide architectural guidance and coding best practices across application and platform development
Continuously learn and apply cutting-edge technologies, sharing findings with the broader engineering organization
Launch and monitor AI-driven features in production, using performance and user metrics to guide improvements
Coach and mentor junior engineers on software engineering principles, AI adoption, and system design
Actively foster a culture of innovation, technical excellence, and continuous improvement

Staff Software Engineer Fullstack