Back-end Developer

N1 Healthcare; Cyberjaya; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading healthcare technology firm in Cyberjaya is seeking a Back-end Developer to design and build robust infrastructure for health data analytics. You will collaborate with cross-functional teams, ensuring high-performance backend services while adhering to best practices for data security and compliance. The ideal candidate has over 3 years of experience in back-end development, proficiency in Python, and a strong foundation in data handling and privacy requirements.

Benefits

Opportunities for continuous learning

Career development

Collaborative team culture

Qualifications

• Experience building scalable and reliable systems.
• Proficiency in Python or other modern backend languages.
• Strong database expertise and query optimization.
• Experience in designing RESTful or GraphQL APIs.
• Experience with cloud platforms for deployment.

Responsibilities

• Design and develop backend services and APIs.
• Implement data integrity and security best practices.
• Optimize backend architecture for performance.
• Collaborate cross-functionally with other teams.
• Monitor and manage backend processes for availability.

Skills

Python

Back-end systems

APIs

Data security

Cloud platforms

Data integrity

Education

3+ years experience as Back-end Developer or Software Engineer

Experience in HealthTech or FinTech

Tools

Django

FastAPI

PostgreSQL

MongoDB

Docker

Kubernetes

Job description

About Us

At N1.Healthcare, we are transforming how individuals understand and manage their health. Our AI-powered medical reports combine the latest in artificial intelligence and data science to deliver personalized, accessible, and meaningful health insights. We are looking for a skilled Back-end Developer to join our fast-growing team and help build the data analytics systems powering next-generation health technology—from advanced diagnostic insights to real-time health analytics.

Your Role

As a key member of our engineering team, you'll design and build robust, scalable backend infrastructure that delivers actionable healthcare insights at scale. You will operate at the intersection of health data, data science, and technology, focusing on optimizing systems for speed, security, and reliability. This hands-on role is for an engineer who thrives on ambitious technical challenges, collaborative problem-solving, and building systems that make a real-world impact.

Your Challenges

• Design, develop, and maintain high-performance backend services, APIs, and microservices to power our core data analytics platform.
• Architect robust data pipelines (ETL) for the secure and efficient ingestion, processing, and aggregation of diverse health and laboratory data.
• Collaborate cross-functionally with Data Scientists, Front-End Developers, and Product Managers to translate analytical requirements into reliable, scalable backend systems.
• Implement rigorous data integrity, privacy, and security best practices, ensuring full compliance with industry standards like GDPR and HIPAA.
• Optimize backend architecture for maximum performance, reliability, and scale to support high data volumes and concurrent user activity.
• Develop and maintain clear, up-to-date documentation for APIs, system architecture, and complex data workflows.
• Monitor, automate, and manage backend processes to ensure seamless operation, high availability, and effective disaster recovery.
• Proactively troubleshoot and resolve technical issues across the backend stack, driving continuous system improvement.

What You Have

• 3+ years of experience as a Back-end Developer or Software Engineer building highly scalable and reliable systems (experience in HealthTech, FinTech, or data-driven environments is a plus).
• Proficiency in Python (including frameworks like Django, FastAPI, or Flask) or other modern backend languages like Rust or Go.
• Strong expertise in relational and non-relational databases (e.g., PostgreSQL, MongoDB), advanced data modeling, and query optimization.
• Solid understanding and experience in designing, developing, and documenting RESTful and/or GraphQL APIs.
• Proven experience building and maintaining data processing pipeline solutions for real-time analytics or LLM (Large Language Model) inference jobs.
• Practical experience deploying applications on cloud platforms (GCP or AWS) and utilizing containerization tools like Docker and Kubernetes.
• Strong foundation in data security, privacy, and compliance requirements, ideally with experience in regulated sectors (healthcare, finance).
• Excellent communication skills, with the ability to clearly document and articulate complex technical concepts to diverse teams

Nice to Have

• Experience working with healthcare data standards such as HL7 or FHIR.
• Exposure to integrating or deploying AI/ML models into live production environments.
• Understanding of data governance, auditability, and lineage best practices.
• Experience with infrastructure-as-code (e.g., Terraform, Ansible) or designing CI/CD pipelines.
• Experience or strong interest in the healthcare domain.

Why Join Us?

• Work at the cutting edge of health technology and data science.
• Contribute to a product that makes a measurable positive impact on people’s lives.
• Collaborate with a passionate and cross-disciplinary team in a mission-driven culture.
• Opportunities for continuous learning, growth, and career development.

If you’re ready to shape the future of healthcare through exceptional back-end engineering, we’d love to meet you!