Location: Bangalore, India
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 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.
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.
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Design, develop, and maintain scalable backend services, APIs, and distributed data processing systems.
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Develop robust RESTful APIs using Python and modern backend development practices.
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Build and optimize large-scale data processing pipelines using Spark.
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Design scalable data models and optimize relational databases for analytical and operational workloads.
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Develop AI-enabled applications using Prompt Engineering and Large Language Models (LLMs).
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Deploy, manage, and optimize applications on Kubernetes-based production environments.
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Plan, design, code, and implement native software solutions while extending customer code sandbox environments to be more resilient, reliable, and secure.
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Help the engineering team evaluate technologies, implement scalable architectures, and own the development of projects.
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Optimize system performance, scalability, and reliability across backend services and data platforms.
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Implement robust testing strategies and maintain high code quality through automated testing and code reviews.
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Collaborate with Product, AI, Data Science, and Platform Engineering teams to deliver innovative solutions.
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Participate in architecture discussions, technical design reviews, and engineering planning.
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Troubleshoot production issues and continuously improve system reliability and developer productivity.
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Mentor junior engineers through technical guidance, code reviews, and knowledge sharing.
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Drive engineering best practices and contribute to a culture of continuous improvement.
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Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
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4–6 years of professional experience in backend engineering, data engineering, or a related software engineering role.
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Strong data analysis skills with the ability to understand and extract meaningful patterns from data.
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Proficiency in Prompt Engineering and experience working with Large Language Models (LLMs).
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Proven ability to develop REST APIs using Python and Database ORMs.
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Solid understanding of relational databases and SQL.
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Experience utilizing Spark for large-scale data processing.
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Strong computer science fundamentals and excellent knowledge of Data Structures and Algorithms.
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Hands-on debugging and troubleshooting skills.
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Experience with Kubernetes for application deployment, scaling, and management in production environments.
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Excellent technical design, problem-solving, and communication skills.
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Ability to build a strong understanding of product functionality.
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Ability to independently understand the codebase and contribute new features, enhancements, and bug fixes while working both independently and in a collaborative team environment.
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Comfortable with the software development and deployment processes followed by the team.
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Strong communication and collaboration skills with cross-functional teams and stakeholders.
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Experience designing scalable distributed data platforms and data processing systems.
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Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
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Experience with Docker and containerized application development.
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Familiarity with CI/CD pipelines and modern software delivery practices.
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Experience with event-driven architectures and messaging technologies such as Kafka or RabbitMQ.
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Exposure to AI/ML infrastructure, healthcare technology, or data-intensive applications.
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Experience mentoring junior engineers and participating in architecture discussions.
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Contributions to open-source projects are a plus.
At nference, you'll work on technology that has the potential to transform healthcare and improve lives across the world. Every engineering challenge you solve contributes to advancing biomedical research, accelerating drug discovery, and enabling better clinical decisions.
You'll be part of a team that values innovation, ownership, and collaboration, where you'll have the opportunity to work with cutting-edge technologies, solve complex data engineering challenges, and grow alongside some of the brightest minds in software engineering, artificial intelligence, and life sciences.
If you're excited about building scalable data platforms and software that create meaningful real-world impact, nference is the place for you.
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Industry Prestige: Build your career at the "Google of Biomedicine" (as recognized by The Washington Post), working alongside exceptional software engineers, physicians, scientists, and researchers.
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Cutting-Edge Innovation: Solve complex healthcare challenges using advanced AI, machine learning, and large-scale clinical, molecular, and imaging datasets.
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Meaningful Impact: Contribute to technologies that accelerate drug discovery and biomedical research, with opportunities to be recognized as a contributing author on high-impact scientific publications where applicable.
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Growth & Flexibility: Thrive in a collaborative, innovation-driven culture with continuous learning opportunities and a hybrid work model for eligible employees after successful completion of the three-month probation period.
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Wellness & Perks: Enjoy reimbursements for gym memberships, technology gadgets, high-speed internet, professional development, comprehensive health insurance, and complimentary breakfast, lunch, and snacks at our Bangalore office.
nference is committed to building a diverse, equitable, and inclusive workplace where everyone has the opportunity to thrive. We celebrate different perspectives, backgrounds, and experiences because they strengthen our teams and drive innovation. We are proud to be an equal opportunity employer and welcome applicants from all backgrounds to join us in building technology that transforms healthcare.
