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Fullstack Developer (US)

Lynx Analytics
Posted 3 months ago, valid for 13 days
Location

Hoboken, NJ, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are seeking a Fullstack Developer with over 5 years of software development experience to join our engineering team.
  • This role involves designing and operating scalable software platforms for analytics and AI solutions, focusing on both front-end and back-end development.
  • Candidates should have a Bachelor's degree in Computer Science or related fields and experience with technologies like React, Python, Docker, and cloud environments.
  • The position requires collaboration with cross-functional teams and adherence to data protection and compliance policies.
  • Salary details were not specified in the job description, but the role offers opportunities for rapid learning and exposure to advanced technologies.

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends.

What This Involves:

Front-End Development

  • Develop and maintain user interfaces for web applications using React and Next.js.
  • Translate wireframes and design mockups into functional, accessible UI components.
  • Identify and resolve front-end performance bottlenecks to ensure smooth user experiences.
  • Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library).

Back-End Development

  • Develop and maintain high-quality back-end services and APIs using Python.
  • Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).
  • Manage containerized applications using Docker and Kubernetes.
  • Contribute to the design and evolution of scalable, cloud-native software architectures.
  • Contribute to and maintain CI/CD pipelines for web and back-end applications.

Collaboration and Quality

  • Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions.
  • Support the development and deployment of AI and analytics solutions.
  • Write clean, well-documented, and maintainable code across the full stack.
  • Participate in technical discussions, code reviews, and continuous improvement initiatives.
  • Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards.

Requirements:

  • Bachelor’s degree in Computer Science or related fields.
  • 5+ years of software development experience, with meaningful time on both front-end and back-end systems.
  • Experience designing systems in cloud-native or distributed environments is a plus.
  • Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing teams.
  • Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day.

Key Competencies:

  • Stakeholder Mentality: Treats the company's and client’s goals as their own and is genuinely motivated by its success.
  • Organisational Excellence: Manages time and priorities effectively, ensuring tasks are completed accurately and on time even in a fast-paced environment.
  • Discretion & Integrity: Handles sensitive and confidential information with professionalism and sound judgement.
  • Problem Solving: Approaches challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.
  • Collaboration: A team player who builds strong working relationships and communicates effectively with colleagues across all levels.

Why You Will Love It Here:

  • Work on real-world AI and advanced analytics solutions with measurable business impact.
  • Collaborate with a global team of engineers and data scientists.
  • Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
  • A collaborative culture that values real outcomes.
  • Rapid learning opportunities and diverse challenges.
  • Flat organisational hierarchy with high visibility and accessibility to our leaders.

 




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