We are seeking an experienced Senior Full-Stack Engineer to join our clients engineering team and lead the design and development of scalable cloud-native applications. This role combines strong full-stack expertise with hands-on AWS experience and exposure to Generative AI integrations.
You will play a key role in architectural decisions cloud infrastructure design and the integration of AI-driven capabilities that enhance product innovation. This position is ideal for a technically strong engineer who thrives in ownership roles mentors others and is passionate about building intelligent high-performance systems on AWS.
Responsibilities
Design develop and maintain scalable full-stack applications using modern frameworks with a strong focus on performance security and maintainability
Architect and implement cloud-native solutions leveraging AWS services and best practices
Lead architectural discussions covering system design microservices distributed systems and AI-assisted features
Implement and support GenAI integrations (LLM APIs prompt orchestration embeddings vector databases AI-powered workflows)
Drive technical initiatives from planning through delivery in a fast-paced environment
Mentor junior engineers conduct code reviews and uphold engineering standards
Contribute to DevOps processes including CI/CD infrastructure automation and observability
Promote engineering excellence by improving processes documentation and technical culture
Stay up to date with advancements in AWS full-stack technologies and Generative AI ecosystems
Requirements
7 years of professional software development experience with at least 1 year in a technical leadership or mentoring role
Strong hands-on experience in full-stack development (React or equivalent stack)
Proven experience designing and deploying cloud-native applications on AWS
Strong understanding of software architecture design patterns data structures and algorithms
Strong understanding of the AWS Well-Architected Framework
Experience with AWS services such as EC2 S3 RDS Lambda Fargate SNS EKS and API Gateway
Experience with relational and NoSQL databases
Familiarity with DevOps practices CI/CD pipelines automated testing and code quality tools
Experience working in Agile environments
Strong communication and problem-solving skills with a customer-centric mindset
Bachelors degree in Computer Engineering Software Engineering or equivalent practical experience
Nice to Have
Hands-on experience with Docker and Kubernetes
Exposure to Generative AI frameworks such as LangChain or LangGraph
Familiarity with embeddings vector databases and LLM-based workflows
Experience building SaaS products and scalable microservices architectures
Knowledge of additional languages such as Python Java Golang or C#
Experience with healthcare integrations (FHIR HL7 Redox) is a plus
Whats on Offer
Work with talented engineers and professionals as part of a globally distributed team building cutting-edge digital health products
Strong career growth plan with support from experienced mentors and unlimited learning opportunities
Be part of an experienced team apply industry best practices get mentored and mentor others in turn
Exposure to clients who are leading entrepreneurs and startups from Silicon Valley
Work at the cutting edge of healthcare innovation impacting the lives of thousands of people worldwide
Flexibility to work remotely or in-office
Access to internal learning initiatives webinars Knowledge Sharing Sessions (KSS) and internal conferences
A safe supportive workplace culture that encourages fast learning from failure and constructive feedback
Recognition and celebration of contributions in a fun engaging work environment
About the Role We are seeking an experienced Senior Full-Stack Engineer to join our clients engineering team and lead the design and development of scalable cloud-native applications. This role combines strong full-stack expertise with hands-on AWS experience and exposure to Generative AI integratio...
About the Role
We are seeking an experienced Senior Full-Stack Engineer to join our clients engineering team and lead the design and development of scalable cloud-native applications. This role combines strong full-stack expertise with hands-on AWS experience and exposure to Generative AI integrations.
You will play a key role in architectural decisions cloud infrastructure design and the integration of AI-driven capabilities that enhance product innovation. This position is ideal for a technically strong engineer who thrives in ownership roles mentors others and is passionate about building intelligent high-performance systems on AWS.
Responsibilities
Design develop and maintain scalable full-stack applications using modern frameworks with a strong focus on performance security and maintainability
Architect and implement cloud-native solutions leveraging AWS services and best practices
Lead architectural discussions covering system design microservices distributed systems and AI-assisted features
Implement and support GenAI integrations (LLM APIs prompt orchestration embeddings vector databases AI-powered workflows)
Drive technical initiatives from planning through delivery in a fast-paced environment
Mentor junior engineers conduct code reviews and uphold engineering standards
Contribute to DevOps processes including CI/CD infrastructure automation and observability
Promote engineering excellence by improving processes documentation and technical culture
Stay up to date with advancements in AWS full-stack technologies and Generative AI ecosystems
Requirements
7 years of professional software development experience with at least 1 year in a technical leadership or mentoring role
Strong hands-on experience in full-stack development (React or equivalent stack)
Proven experience designing and deploying cloud-native applications on AWS
Strong understanding of software architecture design patterns data structures and algorithms
Strong understanding of the AWS Well-Architected Framework
Experience with AWS services such as EC2 S3 RDS Lambda Fargate SNS EKS and API Gateway
Experience with relational and NoSQL databases
Familiarity with DevOps practices CI/CD pipelines automated testing and code quality tools
Experience working in Agile environments
Strong communication and problem-solving skills with a customer-centric mindset
Bachelors degree in Computer Engineering Software Engineering or equivalent practical experience
Nice to Have
Hands-on experience with Docker and Kubernetes
Exposure to Generative AI frameworks such as LangChain or LangGraph
Familiarity with embeddings vector databases and LLM-based workflows
Experience building SaaS products and scalable microservices architectures
Knowledge of additional languages such as Python Java Golang or C#
Experience with healthcare integrations (FHIR HL7 Redox) is a plus
Whats on Offer
Work with talented engineers and professionals as part of a globally distributed team building cutting-edge digital health products
Strong career growth plan with support from experienced mentors and unlimited learning opportunities
Be part of an experienced team apply industry best practices get mentored and mentor others in turn
Exposure to clients who are leading entrepreneurs and startups from Silicon Valley
Work at the cutting edge of healthcare innovation impacting the lives of thousands of people worldwide
Flexibility to work remotely or in-office
Access to internal learning initiatives webinars Knowledge Sharing Sessions (KSS) and internal conferences
A safe supportive workplace culture that encourages fast learning from failure and constructive feedback
Recognition and celebration of contributions in a fun engaging work environment