Fullstack Engineer

Candidates typically face a timed online coding test followed by a deep‑dive technical interview covering full‑stack development, cloud concepts, and system design. The HR round assesses cultural fit and willingness to relocate. Preparation should focus on writing clean code in Python/Go, building React components, and understanding cloud deployment basics.

Round 1: Online coding assessment (aptitude + data structures) → Round 2: Technical interview (system design, full‑stack coding) → Round 3: HR interview (culture fit, relocation willingness)

InRisk Labs fosters a collaborative, research‑oriented culture where engineers work side‑by‑side with scientists and product teams. Employees enjoy flexible working hours, a focus on learning, and a supportive environment that encourages experimentation and rapid iteration.

B.Tech / BE / M.Tech / M.Sc in Computer Science, Information Technology, Electronics, or related streams. Minimum CGPA/percentage 6.5/70% (or equivalent). Final year students or fresh graduates from the 2024‑2025 batch. No active backlogs at the time of joining. Strong foundation in data structures, algorithms, and web development.

InRisk Labs is India’s leading Climate Insurtech, dedicated to creating data‑driven insurance products that mitigate climate‑related risks. The company works across sectors such as agriculture, disaster risk mitigation, non‑damage business interruption, loss of livelihood and renewable energy. By partnering with public agencies, private insurers and research institutions, InRisk Labs builds a resilient ecosystem that helps farmers, businesses and communities cope with extreme weather events. The organization’s culture is rooted in innovation, interdisciplinary collaboration, and a strong commitment to sustainability, making it an exciting place for technologists who want to make a tangible impact on society. The Fullstack Engineer role is a core technical position that sits at the intersection of backend services, cloud infrastructure, and user‑facing applications. The engineer will design, develop, and maintain secure, scalable platforms that power InRisk Labs’ climate risk analytics and insurance workflows. Working closely with data scientists, product managers, and domain experts, the candidate will translate complex data models into intuitive dashboards and APIs that enable real‑time decision making for insurers and policymakers. The role offers exposure to cutting‑edge cloud architectures, modern frontend frameworks, and a fast‑moving startup environment where each contribution directly influences product outcomes. Key responsibilities include: 1. Design and implement RESTful APIs and micro‑services using Python and Go. 2. Build responsive, high‑performance user interfaces with React and Tailwind CSS. 3. Architect, deploy and manage cloud resources on platforms such as AWS or GCP, ensuring reliability and security. 4. Collaborate with data scientists to integrate machine‑learning models into production pipelines. 5. Optimize database schemas and queries for large‑scale climate datasets. 6. Write automated tests, conduct code reviews, and enforce best coding practices. 7. Participate in agile ceremonies, contribute to sprint planning and backlog grooming. 8. Monitor application performance, troubleshoot incidents, and implement improvements. 9. Mentor junior developers and share knowledge across the engineering team. 10. Stay updated with emerging technologies and propose innovative solutions to enhance product capabilities. The tech stack revolves around Python, Go, React, Tailwind CSS, Docker, Kubernetes, and major cloud services. InRisk Labs offers a clear growth path: junior engineers can progress to senior engineer, lead engineer, and eventually technical architect or product lead, with opportunities to specialize in data engineering, cloud security, or UI/UX design. Joining InRisk Labs means working on purpose‑driven products, gaining hands‑on experience with end‑to‑end cloud solutions, and being part of a mission‑focused team that values continuous learning and impact.