Application Developer (Backend)

Job Description

We are seeking a highly skilled Application Developer (Backend) with strong hands-on experience in full stack development and a focus on back-end architecture. The ideal candidate will design, develop, and optimize cloud-native applications leveraging modern frameworks and AWS data services to support research, clinical, and analytics platforms. Key Responsibilities Design and develop scalable backend services and RESTful APIs using Python and AWS services. Build and maintain data-driven applications integrating DynamoDB, PostgreSQL, and Amazon Neptune for complex relational and graph data. Collaborate with front-end developers (React) to ensure seamless API integration and data flow. Implement authentication, authorization, and audit logging for secure data access. Optimize performance, scalability, and cost-efficiency of backend systems. Participate in code reviews, testing, and CI/CD deployment pipelines. Work closely with DevOps and data teams to ensure smooth integration and operational reliability. Technical Skills Backend Development: Python (Flask, FastAPI, or Django), Node.js (optional) Frontend Collaboration: React, JavaScript/TypeScript Databases: DynamoDB, PostgreSQL, Amazon Neptune (Graph DB) AWS Services: Lambda, API Gateway, ECS/EKS, S3, CloudWatch Version Control & CI/CD: GitHub, CodeCommit, CodeBuild, CodePipeline Proficiency in RESTful API design, data modeling, and query optimization Experience with microservices architecture and serverless deployments Qualifications & Experience Bachelor?s or Master?s degree in Computer Science, Information Technology, or a related field 5+ years of experience in backend or full stack development Strong programming expertise in Python and experience integrating with AWS-native data services Deep understanding of database design, indexing, and performance tuning Familiarity with Agile development and DevOps workflows Preferred Qualifications Experience developing enterprise or life sciences web applications Familiarity with Graph data models using Amazon Neptune Exposure to AWS CloudFormation, Terraform, or serverless architecture ? AWS Certified Developer ? Associate or equivalent certification