Software Engineer

Round 1: Online coding assessment (DSA & basic backend problems) → Round 2: Technical interview (system design, API development, problem solving) → Round 3: HR interview (culture fit, motivations, compensation discussion)

nference.keka.com promotes a collaborative, research‑driven environment where engineers are encouraged to experiment and learn from each other. The hybrid model offers a balance between in‑office teamwork and remote flexibility, and the company provides regular learning sessions, mentorship and clear growth pathways.

Candidates usually face a timed online coding test focusing on arrays, strings and basic algorithmic problems, followed by a technical interview that dives deeper into backend design, API development and system scalability. The HR round assesses cultural fit, communication skills and motivation to work in healthcare AI. Preparing with mock tests and reviewing micro‑service concepts helps improve performance.

Bachelor's or Master's degree in Computer Science, Information Technology, Electronics & Communication, or related engineering discipline; 0‑2 years of professional experience in backend development; strong academic record (generally 60% or above); no active backlogs; proficient in English communication; eligible to work in India.

nference is an AI‑first healthcare technology company that leverages large‑scale computing, machine learning and domain expertise to accelerate biomedical discovery. Founded with the ambition to solve some of the toughest challenges in healthcare, the firm builds platforms that enable pharmaceutical companies, research institutes and clinicians to extract actionable insights from complex clinical, molecular and imaging data. By combining software engineering excellence with deep life‑science knowledge, nference helps turn massive, unstructured datasets into knowledge that can improve patient outcomes and speed up drug development. The Bangalore office is a hub of interdisciplinary talent where software engineers work side‑by‑side with AI researchers, physicians and product leaders. The culture emphasizes ownership, curiosity and continuous learning; engineers are encouraged to question assumptions, prototype rapidly and take responsibility for their code from design through production. The hybrid model allows team members to collaborate in‑person while also enjoying flexibility after the initial onboarding period. As a Software Engineer (1‑2 years of experience), you will be part of the backend engineering team building reliable services that power nference’s AI‑driven products. You will write clean, testable code, design APIs, and ensure data security and compliance with healthcare regulations. Under senior guidance, you will gradually own end‑to‑end components, contribute to low‑level design documents, and participate in the full software development lifecycle. Key Responsibilities: 1. Write, test and maintain production‑grade backend code in Python or Go. 2. Design, develop and document RESTful APIs and micro‑services. 3. Create and optimise database schemas and queries using PostgreSQL/MySQL. 4. Implement unit tests, integration tests and CI pipelines to ensure high code quality. 5. Debug production issues, monitor performance, and contribute to incident resolution. 6. Follow secure coding standards and PHI handling protocols to protect sensitive health data. 7. Participate in code reviews, provide constructive feedback and incorporate peer suggestions. 8. Collaborate with product managers, data scientists and front‑end engineers to translate requirements into technical solutions. 9. Contribute to low‑level design (LLD) documents and technical specifications. 10. Stay updated with emerging cloud services, containerisation (Docker) and AI‑assisted development tools. Tech Stack: Python / Go, PostgreSQL or MySQL, Git, Linux, Docker, AWS (basic), REST/GraphQL APIs, CI/CD (Jenkins/GitHub Actions), monitoring tools (Prometheus, Grafana), and AI‑assisted coding assistants. Growth Path: Starting as an associate engineer, you can progress to Senior Engineer, Tech Lead, and eventually Architecture or Product Management roles, with exposure to AI research and healthcare domain expertise. The company invests in continuous learning through internal workshops, conference sponsorships and mentorship programs. Why Join nference? You will work on mission‑critical healthcare problems, gain hands‑on experience with cutting‑edge AI and data‑intensive technologies, and see the tangible impact of your code on real‑world biomedical research. The hybrid work model, generous wellness perks, and a culture that values curiosity and collaboration make it an ideal place for fresh talent to accelerate their career.