Own backend services end-to-end, design scalable APIs, and mentor junior engineers at nference, an AI-first healthcare technology company.

About the Company

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.

Role Overview

We're looking for a Senior Software Engineer with 4–7 years of software engineering experience and strong hands-on experience building and operating production backend services.

In this role, you'll own backend services, APIs, or modules end-to-end, contributing to design, development, deployment, production operations, and continuous improvement. You'll work on scalable and reliable systems while contributing to High-Level Designs, technical decisions, code reviews, and engineering practices.

You'll collaborate closely with Product and Engineering teams to translate requirements into robust technical solutions, manage technical dependencies, solve production challenges, and mentor junior engineers.

Key Responsibilities

• Own backend services, APIs, or modules end-to-end, including design, development, deployment, maintenance, and ongoing improvements.
• Design and develop scalable, reliable backend services and APIs that support core product capabilities.
• Write efficient, maintainable, and production-grade code while following established engineering standards.
• Design and develop well-structured APIs and service interfaces to support internal and external system integrations.
• Drive the design and implementation of scalable solutions, contributing to High-Level Designs and providing appropriate technical inputs.
• Apply asynchronous programming, concurrency, and event-driven patterns where appropriate to build efficient and responsive backend services.
• Design data schemas and write efficient queries while ensuring data integrity and appropriate database performance.
• Identify and resolve performance bottlenecks using appropriate approaches such as query optimization, caching, concurrency, and load balancing.
• Own the operational quality of assigned services, including performance, reliability, monitoring, technical debt, bug fixes, and production issues.
• Participate in production troubleshooting, incident resolution, and on-call activities as required.
• Monitor service health and performance and identify opportunities to improve reliability, scalability, and operational efficiency.
• Collaborate across engineering and product teams to translate requirements into technical solutions, manage dependencies, and deliver features effectively.
• Contribute to technical design discussions and help evaluate architectural trade-offs within the team.
• Conduct code reviews and provide actionable technical feedback to maintain code quality and consistency.
• Provide technical guidance and mentorship to junior engineers, helping them improve their engineering practices and problem-solving skills.
• Contribute to testing practices, technical documentation, and engineering processes that improve development quality and maintainability.
• Identify opportunities to improve development and operational workflows, automation, and engineering productivity.
• Collaborate with platform, DevOps, frontend, and other engineering teams to ensure reliable integration and deployment of backend services.
• Contribute to continuous improvements in system reliability, performance, scalability, and maintainability.

Tech Stack

• Backend Languages: Python, Go
• Databases: Relational databases (e.g., PostgreSQL, MySQL), NoSQL systems
• Cloud Platforms: AWS, GCP, Azure (preferred)
• Containerization & Orchestration: Docker, Kubernetes (preferred)
• Messaging/Event-Streaming: Kafka, RabbitMQ (preferred)
• Caching: Redis (preferred)
• CI/CD: Modern CI/CD tools
• Observability: Monitoring, logging, tracing, alerting
• API Design: REST APIs, service interfaces
• Other: Asynchronous programming, concurrency, event-driven architectures, High-Level Designs (HLDs), microservices patterns

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related engineering discipline.
• 4–7 years of professional experience in software engineering, with experience building and operating production backend services.
• Strong proficiency in at least one backend language such as Python or Go, with a strong understanding of APIs, microservices, and backend design patterns.
• Strong experience with relational databases and working knowledge of NoSQL systems, including data modeling and query optimization.
• Hands-on experience with cloud platforms, containerization, CI/CD, and production engineering practices.
• Strong understanding of system performance, reliability, debugging, and operational practices.
• Experience designing and developing REST APIs and backend service interfaces.
• Understanding of asynchronous programming, concurrency, and event-driven architectures.
• Experience contributing to High-Level Designs (HLDs) and technical design discussions.
• Experience with production monitoring, troubleshooting, and maintaining service reliability.
• Ability to own technical work end-to-end, from design and implementation through deployment and ongoing maintenance.
• Experience conducting code reviews and providing technical guidance to other engineers.
• Demonstrated ability to mentor junior engineers and contribute to engineering best practices.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration skills, with the ability to work effectively across engineering and product teams.

Preferred Qualifications

• Experience with Docker and Kubernetes.
• Experience with AWS, GCP, Azure, or similar cloud platforms.
• Experience with messaging or event-streaming technologies such as Kafka or RabbitMQ.
• Experience with caching technologies such as Redis.
• Experience designing and operating high-availability and fault-tolerant systems.
• Familiarity with observability tools and practices, including monitoring, logging, tracing, and alerting.
• Experience with CI/CD tools and modern deployment practices.
• Experience working with large-scale or high-volume data systems.
• Experience optimizing backend services for latency, throughput, scalability, and reliability.
• Experience contributing to technical documentation, architecture decisions, and engineering standards.
• Experience working in Agile/Scrum development environments.

• Industry Prestige: Build your career at nference, an AI-first healthcare technology company working at the intersection of software engineering, AI, and biomedical research.
• Cutting-Edge Innovation: Solve complex healthcare challenges using advanced AI, machine learning, and large-scale clinical, molecular, and imaging datasets.
• Meaningful Impact: Contribute to technologies that accelerate drug discovery and biomedical research.
• 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.
• 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.