# Fullstack Developer (India) at Lynx Analytics

Fullstack Developer (India) at Lynx Analytics in Pune, Maharashtra, India. Remote. Posted June 4, 2026.

- Company: Lynx Analytics
- Location: Pune, Maharashtra, India
- Workplace: Remote
- Experience: 5+ years
- Posted: 2026-06-04
- Apply: https://job-boards.greenhouse.io/lynxanalytics/jobs/8520230002
- Source: https://jobmagic.ai/jobs/fullstack-developer-india-lynx-analytics-3r5afd

## 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.

## 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.