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Full-Stack Product Engineer (remote)

LaBine and Associates

Full-Stack Product Engineer (remote)

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Our startup fintech client is hiring full-stack engineers to drive product development.

    This person will be on the front lines of both new product initiatives as well as iterations on our core platform.  You will take the lead on highly visible technical features, help others on the team with complex problems, and work closely with the product team and designers.  

    This product engineer will be very involved in product definition, design/development, QA, and deployment.  We are an agile team with bi-weekly sprints.

    Required experience:

    • Have experience in a modern Javascript framework
    • Have a passion for effective collaboration within cross-functional teams, with a history of building strong relationships with Product and Design
    • Comfortable with the ambiguity of an early-stage company. This includes being able to transform product sketches into working technology, as well as working in an environment with a very short technical backlog
    • Interested in our core domain \- finance, technology, eCommerce and entrepreneur market
    • Strive to push forward our tech stack and are an advocate for best practices
    • Take ownership of personal growth and have a habit of continuous self-development
    • Have a strong sense of accountability for the success of one’s product
    • Are excited to help identify new technologies and approaches to problems

    Required Skills include:

    • A Bachelor's degree in computer science or similar field
    • 5+ years of experience building web applications with technologies like (but not limited to): TypeScript, Vue and Node
    • Proven track record of scaling web applications on top of large, distributed systems with technologies like (but not limited to): RabbitMQ, Kubernetes and PostgreSQL
    • The technologies of the web (HTTP, JSON APIs, REST, HTML)
    • SQL database programming and performance
    • *NIX environments, and Operating system details (including processes, threads and file systems)
    • Data structures and algorithms
    • Enterprise systems and asynchronous architectures
    • Dynamic languages like Ruby or Python
    • Writing maintainable systems