
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.