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 environmentsAbility to lead AI integration efforts while mentoring other engineers on leveraging AIUnderstanding of best practices for safely and efficiently using AI in production systemsSoft Skills
Strong communicator with the ability to influence across engineering, product, and executive teamsExperience collaborating with data scientists , AI researchers , product managers , and cross-functional peersPassion for mentoring , growing others, and sharing knowledge across teamsHow You Will Lead
Responsibilities
Drive significant, cross-cutting technology initiatives from design to productionArchitect and develop durable, scalable, and secure systems that interact with multiple platformsCollaborate across teams to design AI-integrated solutions that deliver high business impactProvide architectural guidance and coding best practices across application and platform developmentContinuously learn and apply cutting-edge technologies , sharing findings with the broader engineering organizationLaunch and monitor AI-driven features in production , using performance and user metrics to guide improvementsCoach and mentor junior engineers on software engineering principles , AI adoption , and system designActively foster a culture of innovation, technical excellence, and continuous improvementSkills Required
Java, Rest, Nosql, Javascript, Kubernetes, Sql