Senior Software Engineer

At NovoHeal, we are transforming healthcare delivery and clinical insights through advanced data engineering, interoperability, and artificial intelligence. We partner with leading healthcare institutions, research organizations, and government entities to build secure, high-performance web applications, modern health data platforms, and AI-driven automation systems.

If you thrive in building robust, production-grade software applications, designing scalable multi-modal database architectures, and engineering resilient data pipelines, we’d love to have you on our team.

The Role

As a Senior Software Engineer, you will lead core software engineering and application architecture at NovoHeal. You will design, build, and maintain production-ready web platforms, high-throughput backend services, and multi-modal database systems.

Working closely with our Data & AI team, you will establish strong database models, architect end-to-end application layers, and build data ingestion pipelines to ensure complex algorithms, health datasets, and AI workflows are seamlessly delivered through intuitive, secure, and resilient applications.

Key Responsibilities

• Application Architecture & System Design: Architect, develop, and maintain secure, scalable, and high-availability web applications, backend microservices, and client-facing interfaces.
• Database Design & Architecture: Lead schema design, query optimization, and performance tuning across relational and multi-modal database paradigms.
• Data Pipelines & Integration: Design and build reliable, high-throughput data ingestion pipelines, automated ETL/ELT workflows, and API-first interfaces (RESTful / GraphQL) connecting backend microservices with external health IT systems.
• AI & Data Integration: Partner with Data & AI Consultants to integrate Machine Learning models, vector search indices, RAG retrieval pipelines, and automated workflow engines into full-stack product interfaces.
• Security & Compliance: Implement enterprise-grade security standards, authentication/authorization protocols (OAuth2, SAML), and secure coding practices aligned with healthcare data privacy requirements.
• Technical Leadership & Quality: Lead code and database schema reviews, drive CI/CD best practices, maintain robust test coverage, and mentor junior engineers on clean architecture and design patterns.

What We Are Looking For

Core Qualifications & Experience

Experience: 5+ years of hands-on software development experience across the full application lifecycle, with proven success in application design, database engineering, and production system delivery.

Relational Databases: Strong, battle-tested expertise in relational database design, complex indexing, schema modeling, and query tuning (PostgreSQL, MySQL).

Multi-Modal Databases: Hands-on experience architecting and managing non-relational database models, including:

• Document Stores (MongoDB, PostgreSQL JSONB)
• Time-Series Databases (TimescaleDB, InfluxDB)
• RAG & Search Databases (Vector DBs like pgvector, Qdrant, Pinecone; Search engines like Elasticsearch/OpenSearch)

Data Pipelines & Engineering: Practical experience constructing robust data pipelines, stream processing, background job queues, and automated data synchronization layers.

Software Design Mastery: Excellent grounding in application design, clean code architecture, design patterns, microservices design, and domain-driven design (DDD).

Core Tech Stack:

• Backend: Strong expertise in Node.js/TypeScript, Python (FastAPI/Django), or Go/Java.
• Frontend: Modern JavaScript/TypeScript frameworks (React, Next.js, or Vue.js).
• Cloud & DevOps: Deployment and management on AWS, Azure, or GCP using Docker, Kubernetes, Serverless architecture, and CI/CD pipelines (GitHub Actions, GitLab CI).

Modern Platform & Automation Ecosystem (Bonus / Highly Regarded)

Experience with serverless backends and developer platforms (e.g., Supabase, Firebase).

Familiarity with workflow orchestration tools (e.g., n8n, Airflow) for system integrations.

Exposure to healthcare standards (HL7 FHIR, OHDSI OMOP CDM) or enterprise health IT systems is a strong advantage.

Soft Skills

Strong system-thinking capability with a rigorous approach to data modeling and architectural trade-offs.

Clear technical communication—ability to present software architectures and data models to technical and non-technical stakeholders alike.

Self-starter mindset with the ability to thrive in an agile, fast-paced health-tech environment.

Why Join NovoHeal

• Meaningful Impact: Build mission-critical software and data platforms that directly impact healthcare operations, research, and clinical outcomes.
• Complex Engineering Challenges: Work on multi-modal data platforms, real-time health pipelines, and cutting-edge AI integrations.
• Growth & Autonomy: High degree of ownership over software and database architecture with clear progression pathways into technical leadership or engineering management.

Note: Priority will be given to Malaysian citizens.

About NovoHeal

At NovoHeal, we are transforming healthcare delivery and clinical insights through advanced data engineering, interoperability, and artificial intelligence. We partner with leading healthcare institutions, research organizations, and government entities to build secure, high-performance web applications, modern health data platforms, and AI-driven automation systems.

If you thrive in building robust, production-grade software applications, designing scalable multi-modal database architectures, and engineering resilient data pipelines, we’d love to have you on our team.

The Role

As a Senior Software Engineer, you will lead core software engineering and application architecture at NovoHeal. You will design, build, and maintain production-ready web platforms, high-throughput backend services, and multi-modal database systems.

Working closely with our Data & AI team, you will establish strong database models, architect end-to-end application layers, and build data ingestion pipelines to ensure complex algorithms, health datasets, and AI workflows are seamlessly delivered through intuitive, secure, and resilient applications.

Key Responsibilities

• Application Architecture & System Design: Architect, develop, and maintain secure, scalable, and high-availability web applications, backend microservices, and client-facing interfaces.
• Database Design & Architecture: Lead schema design, query optimization, and performance tuning across relational and multi-modal database paradigms.
• Data Pipelines & Integration: Design and build reliable, high-throughput data ingestion pipelines, automated ETL/ELT workflows, and API-first interfaces (RESTful / GraphQL) connecting backend microservices with external health IT systems.
• AI & Data Integration: Partner with Data & AI Consultants to integrate Machine Learning models, vector search indices, RAG retrieval pipelines, and automated workflow engines into full-stack product interfaces.
• Security & Compliance: Implement enterprise-grade security standards, authentication/authorization protocols (OAuth2, SAML), and secure coding practices aligned with healthcare data privacy requirements.
• Technical Leadership & Quality: Lead code and database schema reviews, drive CI/CD best practices, maintain robust test coverage, and mentor junior engineers on clean architecture and design patterns.

What We Are Looking For

Core Qualifications & Experience

Experience: 5+ years of hands-on software development experience across the full application lifecycle, with proven success in application design, database engineering, and production system delivery.

Database & Data Architecture Expertise (Crucial):

• Relational Databases: Strong, battle-tested expertise in relational database design, complex indexing, schema modeling, and query tuning (PostgreSQL, MySQL).
• Multi-Modal Databases: Hands-on experience architecting and managing non-relational database models, including:

• Document Stores (MongoDB, PostgreSQL JSONB)
• Time-Series Databases (TimescaleDB, InfluxDB)
• RAG & Search Databases (Vector DBs like pgvector, Qdrant, Pinecone; Search engines like Elasticsearch/OpenSearch)

Data Pipelines & Engineering: Practical experience constructing robust data pipelines, stream processing, background job queues, and automated data synchronization layers.

Software Design Mastery: Excellent grounding in application design, clean code architecture, design patterns, microservices design, and domain-driven design (DDD).

Core Tech Stack:

• Backend: Strong expertise in Node.js/TypeScript, Python (FastAPI/Django), or Go/Java.
• Frontend: Modern JavaScript/TypeScript frameworks (React, Next.js, or Vue.js).
• Cloud & DevOps: Deployment and management on AWS, Azure, or GCP using Docker, Kubernetes, Serverless architecture, and CI/CD pipelines (GitHub Actions, GitLab CI).

Modern Platform & Automation Ecosystem (Bonus / Highly Regarded)

Experience with serverless backends and developer platforms (e.g., Supabase, Firebase).

Familiarity with workflow orchestration tools (e.g., n8n, Airflow) for system integrations.

Exposure to healthcare standards (HL7 FHIR, OHDSI OMOP CDM) or enterprise health IT systems is a strong advantage.

Soft Skills

Strong system-thinking capability with a rigorous approach to data modeling and architectural trade-offs.

Clear technical communication—ability to present software architectures and data models to technical and non-technical stakeholders alike.

Self-starter mindset with the ability to thrive in an agile, fast-paced health-tech environment.

Why Join NovoHeal

• Meaningful Impact: Build mission-critical software and data platforms that directly impact healthcare operations, research, and clinical outcomes.
• Complex Engineering Challenges: Work on multi-modal data platforms, real-time health pipelines, and cutting-edge AI integrations.
• Growth & Autonomy: High degree of ownership over software and database architecture with clear progression pathways into technical leadership or engineering management.