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Kinexcs

Singapore / Global

Solutions Architect

Job Description

About Company: Kinexcs is an AI-driven digital health platform and wearables company with a mission to enable and empower people for mobility and a better quality of life. It is focused on reducing the burden of musculoskeletal conditions, which affects about 25% of the world's population. Their 1st product, KIMIA Recover, a continuous monitoring device for the knee joint, has obtained CE marking and HSA approval and booked revenues from large implant companies and hospitals. It has recently won the Innomatch grant by the Temasek Foundation (one of the 6 among 256 companies across 32 countries), and is currently deployed in some of the largest public hospitals in Singapore. KIMIA Recover is a comprehensive recovery management solution that provides a reduction in the number of hospital visits and complications. The product was also the National Winner and International Top 20 of the prestigious James Dyson Award 2020 and has gained traction with major public hospitals and orthopaedic clinics. Their digital therapy platform, consisting of KIMIA Assess and KIMIA Move products, uses artificial intelligence technology for digital MSK assessment and therapy. This platform is capable of providing pre-consultation assessments and real-time exercise guidance and feedback to musculoskeletal patients and is being adopted by some of the largest private healthcare providers in the region, along with large corporate players.

Job Summary:

We are seeking an experienced Solution Architect to design and implement cutting-edge healthcare solutions on AWS and other cloud platforms. This role combines technical leadership with hands-on development, focusing on secure, compliant, and scalable healthcare technology solutions.

Key Responsibilities:

Architecture & Implementation

· Design and implement comprehensive healthcare solution architectures on AWS and integrated third-party services

· Manage multiple environments (development, staging, production) ensuring consistency and reliability

· Review and transform legacy codebases to modern, scalable architectures

Compliance & Security

· Ensure cybersecurity and regulatory compliance across US (HIPAA), EU (GDPR), and APAC healthcare regulations

· Provide Design History File (DHF) documentation for Quality Management Systems (QMS)

· Implement security best practices and audit trails for healthcare data

DevOps & Automation

· Design and maintain CI/CD pipelines for production deployments

· Leverage AI agents for process automation and workflow optimization

· Ensure reliable, automated testing and deployment processes

Leadership & Support

· Provide onsite technical support and troubleshooting

· Guide and mentor development and QA teams

· Lead technical decision-making and architectural reviews

Required Qualifications:

Education & Experience

· Bachelor's or Master's degree in Computer Science, Engineering, or related field

· 5+ years of professional experience as a developer and solution architect

· Proven track record of building modularized platforms on AWS

Technical Skills

· AI Development Tools : Proficiency with Amazon Q Developer, GitHub Copilot, and other AI-powered development tools

· Programming : Strong proficiency in Flutter and Python

· Computer Vision : Experience with Google MediaPipe and related computer vision frameworks

· Cloud & ML : Hands-on experience with AI/ML pipelines on AWS (SageMaker, Lambda, etc.)

AWS Expertise

· Deep understanding of AWS services (ECS, EKS, S3, RDS, Lambda, API Gateway, etc.)

· Experience with AWS security services and compliance frameworks

· Knowledge of AWS Well-Architected Framework principles

Healthcare Domain Knowledge is a plus

· Understanding of healthcare data standards (HL7, FHIR)

· Experience with medical device software development lifecycle

· Knowledge of healthcare regulatory requirements and quality systems

Preferred Qualifications:

· AWS certifications (Solutions Architect, Security Specialty)

· Experience with containerization (Docker, Kubernetes)

· Knowledge of microservices architecture patterns

· Experience with real-time data processing and analytics

· Background in digital health applications is a plus

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