Senior Software Engineer (Data Engineering)

Location: Bangalore, India

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 building scalable data platforms, engineering distributed systems, or developing 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 (Data Engineering) who is passionate about building scalable, reliable, and high-performance data platforms and backend systems. In this role, you’ll design and develop data-intensive applications, distributed data processing pipelines, and cloud-native services that power our AI-driven healthcare products.

You’ll collaborate closely with engineers, product managers, AI researchers, and domain experts to solve complex engineering challenges while delivering software that enables data-driven innovation in healthcare. This role is ideal for someone who enjoys working with large-scale datasets, distributed systems, cloud-native technologies, and AI-powered applications.

What You’ll Do

• Design, develop, and maintain scalable backend services, APIs, and distributed data processing systems.
• Develop robust RESTful APIs using Python and modern backend development practices.
• Build and optimize large-scale data processing pipelines using Spark.
• Design scalable data models and optimize relational databases for analytical and operational workloads.
• Develop AI-enabled applications using Prompt Engineering and Large Language Models (LLMs).
• Deploy, manage, and optimize applications on Kubernetes-based production environments.
• Plan, design, code, and implement native software solutions while extending customer code sandbox environments to be more resilient, reliable, and secure.
• Help the engineering team evaluate technologies, implement scalable architectures, and own the development of projects.
• Optimize system performance, scalability, and reliability across backend services and data platforms.
• Implement robust testing strategies and maintain high code quality through automated testing and code reviews.
• Collaborate with Product, AI, Data Science, and Platform Engineering teams to deliver innovative solutions.
• Participate in architecture discussions, technical design reviews, and engineering planning.
• Troubleshoot production issues and continuously improve system reliability and developer productivity.
• Mentor junior engineers through technical guidance, code reviews, 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, Data Engineering, or a related technical discipline.
• 4–6 years of professional experience in backend engineering, data engineering, or a related software engineering role.
• Strong data analysis skills with the ability to understand and extract meaningful patterns from data.
• Proficiency in Prompt Engineering and experience working with Large Language M…