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Dendrite.aiPosted 3 months ago

Full Stack Web Developer - React/NodeJS with Python(Flask) that prioritizes work/life balance

$400,000–$400,000 year

Remote

Full TimeStartup

Job Summary

Write TypeScript/HTML/CSS for the Web UI Platform with a focus on scalability and maintainability, while guiding and mentoring junior team members and interns. Diagnose and resolve production issues, and enhance the company's technology suite by collaborating with development teams to determine application requirements. Assess and prioritize client feature requests, ensuring all work adheres to software design patterns and engineering best practices. Candidates must complete a pre-screening behavioral assessment as part of the application process. This role supports a US startup focused on flexible hours and remote access, offering a work/life balance for parents and those seeking a flexible lifestyle.

Required Qualifications

  • Bachelors or Masters in Computer Science or related quantitative fields
  • Proficient in React/Typescript/JS/CSS/HTML
  • Proficient/knowledgeable in Python(Flask) Web Development
  • Knowledge of SQL, Unix, Docker, Git, and relational Databases
  • Strong knowledge of Authentication/Authorization/Payment gateway
  • deploying apps to production
  • Needs to have strong experience in DevOps and deployment pipelines to deploy software to servers (On-premise hosting and Azure)
  • Experience in Analytics/Machine Learning projects
  • understand or pick up how SkLearn/spark libraries and other machine learning packages operate in web servers
  • Strong analytical, design, problem-solving, and troubleshooting/debugging skills
  • Should have knowledge of software design patterns and software engineering best practices
  • Ability to work independently in a home office and doesn't need hand holding
  • Must complete the pre-screening behavioral assessment form

Desired Qualifications

  • Exposure to WordPress Plugin Ecosystem
  • Python programming experience and interest
  • Intellectually curious and eager to learn about Analytics/Machine Learning
  • Prior experience in Financial Services

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