Full Stack Engineer

We are seeking a Full Stack Developer to design and build user-facing applications and lightweight services across the R&D Data & AI ecosystem, enabling seamless access, submission, exploration, and operationalization of scientific data and AI capabilities.

The role involves close collaboration with product owners, UX teams, data engineers, data scientists, and platform teams to deliver impactful digital solutions for R&D users.

The ideal candidate is a hands-on engineer with end-to-end expertise across the software development lifecyclefrom design and development to deploymentcapable of leveraging modern full-stack technologies to build scalable, high-value applications.

Role : Fullstack Developer

Exp : 8+ Yrs Exp

Skills : ReactJs, NodeJs, Python, Java, MySQL, PostgreSQL, API

Location : HYD, BLR, DEL - Early Joiner

Key Responsibilities :

• 1. Build and maintain end-to-end applications (UI + middleware + backend) that enable R&D users to interact with data products, knowledge assets, and AI capabilities.

• 2. Develop backend services and APIs using Python (e.g., service patterns exposed via APIs) to integrate platform capabilities into user workflows.

• 3. Work with UX partners to translate user journeys into intuitive interfaces and deliver iterative improvements based on feedback.

• 4. Develop server-side logic using languages such as Node.js, Python, Ruby, PHP, or Java.

• 5. Create and maintain APIs for data exchange between front-end and back-end systems.

• 6. Work with relational databases (MySQL, PostgreSQL) and/or NoSQL databases (MongoDB, Redis).

• 7. Implement authentication and authorization mechanisms (JWT, OAuth, session management).

• 8. Write server-side validation, error handling, and business logic.

Required Skills & Competencies :

• 1. Python for APIs/services and integration logic.

• 2. Full-stack engineering fundamentals (API design, authentication/authorization, UI development, testing).

• 3. Power Apps (Power Platform) for workflow apps and internal tooling.

• 4. Cloud engineering fundamentals (deployment automation, security-by-design, observability).

• 5. Experience building tools for data-heavy or science-heavy user groups.

• 6. Familiarity with integrating apps into a broader data ecosystem, catalog, dashboards, processing apps.

Qualifications & Experience :

• Bachelors OR masters degree (or equivalent experience) in Computer Science, Software Engineering, Data/AI Engineering, or a related field.