Senior Full-Stack Engineer

Role Description

We are seeking an experienced Senior Full-Stack Engineer to join our client's 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

Qualifications

• 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 + Node.js 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
• Bachelor's degree in Computer Engineering, Software Engineering, or equivalent practical experience

Requirements

• 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

Benefits

• 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