Fullstack Developer (India)

🏢 Lynxanalytics · 📍 Pune, Maharashtra, India

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Position Summary & Responsibilities

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 Pac

🎯 Candidate Preparation Guide For Lynxanalytics Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assesses rigorous analytical horsepower, ability to translate complex data science models into business value, and client-facing communication polish.

📋 Preparation Priorities (Key Areas to Clarify):

1. Getting lost in academic theory without connecting to revenue impact
2. Poor structuring during live case studies or data estimation prompts
3. Inability to defend methodology choices under gentle pushback

✨ Recommended Role Alignment Hook:

I combine deep data science rigor with executive-level storytelling to turn complex data graphs into immediate top-line growth.

🔒 Free Candidate Preparation Access

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