Senior Software Engineer - Backend

Location: Bangalore

About nference

nference is an AI-first healthcare technology company dedicated to accelerating biomedical discovery and transforming healthcare through cutting-edge artificial intelligence and large-scale computing. Our platforms help pharmaceutical companies, healthcare providers, and research organizations unlock insights from complex clinical, molecular, and imaging data to drive better decisions and improve patient outcomes.

Founded with the vision of solving some of healthcare’s most challenging problems, nference combines deep expertise in software engineering, machine learning, data science, and life sciences to build products that make a meaningful impact on global healthcare. Recognized by The Washington Post as the “Google of Biomedicine,” we continue to push the boundaries of innovation by partnering with leading healthcare institutions and industry pioneers.

Our People

Our people are our greatest strength. At nference, you’ll work alongside exceptional software engineers, AI researchers, physicians, scientists, and product leaders who are passionate about solving meaningful, real-world problems.

We foster a culture built on ownership, curiosity, collaboration, and continuous learning. Engineers are encouraged to challenge assumptions, contribute ideas, influence technical direction, and take ownership of their work from concept to production. Whether you’re designing distributed systems, optimizing cloud infrastructure, or building AI-powered applications, you’ll collaborate with some of the brightest minds in technology and healthcare.

The Opportunity

We’re looking for a Senior Software Engineer (Backend) who is passionate about building scalable, reliable, and high-performance backend systems. In this role, you’ll design and develop cloud-native services, distributed systems, and APIs that power our AI-driven healthcare products.

You’ll collaborate closely with engineers, product managers, AI researchers, and domain experts to solve complex technical challenges while delivering software that has a direct impact on healthcare innovation. This role is ideal for someone who enjoys tackling large-scale engineering problems, values clean and maintainable code, and thrives in a collaborative, fast-paced environment.

What You’ll Do

• Design, develop, and maintain scalable backend services and distributed systems.
• Build secure, high-performance RESTful APIs for internal and customer-facing applications.
• Design cloud-native microservices with a focus on reliability, scalability, and maintainability.
• Optimize system performance, latency, and resource utilization.
• Implement robust testing strategies and ensure high code quality through unit, integration, and automated testing.
• Build and maintain CI/CD pipelines to streamline deployments and improve developer productivity.
• Collaborate with cross-functional teams including Product, AI, Data Science, Clinical, and Platform Engineering to deliver innovative solutions.
• Participate in architecture discussions, technical design reviews, and engineering planning.
• Troubleshoot production issues and continuously improve system reliability and observability.
• Mentor junior engineers through code reviews, technical guidance, and knowledge sharing.
• Drive engineering best practices and contribute to a culture of continuous improvement.

What We’re Looking For

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline.
• 4–7 years of professional experience in backend or full-stack software engineering.
• Strong proficiency in Python as a primary backend programming language.
• Deep understanding of RESTful API design and backend application development.
• Experience designing and building scalable distributed systems.
• Strong understanding of data structures, algorithms, and object-oriented programming principles.
• Experience working with SQL and NoSQL databases.
• Hands-on experience with Docker and Kubernetes.
• Experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Familiarity with CI/CD pipelines and modern software delivery practices.
• Strong understanding of software architecture, system design, and engineering best practices.
• Experience with version control systems such as Git.
• Excellent analytical, debugging, and problem-so…