Lynx Analytics

Fullstack Developer (US) at Lynx Analytics (New Jersey, United States / New York, NY / San Francisco California, United States)

Lynx Analytics· New Jersey, United States / New York, NY / San Francisco California, United States·

Job description

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.

Why work at Lynx Analytics

  • Culture: Described as fast-moving, ownership-driven, and built for intellectually demanding problems. The company values ambition, innovation, empathy, and relentless teamwork.
  • Team composition: A diverse, global team of Professors, PhDs, MScs, and MBAs from Ivy Leagues, INSEAD, and NUS, with experience at companies like Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, and Palantir.
  • Remote/hybrid/office policy: Has physical offices in Singapore, San Francisco (US), Hong Kong, and Hungary, and operations in Canada, Germany, and Indonesia. The company is global and likely supports hybrid/remote arrangements depending on role.
  • Notable perks: Emphasis on real ownership and impact, exposure to cutting-edge AI and graph analytics, and the opportunity to work with some of the world’s largest life sciences companies.

Application questions