Java Backend Developer (Only for Women)
Jobs for Humanity- Location
- Bengaluru, KA, India
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- —
Posted 3mo ago
We are looking for an experienced Backend Developer with strong expertise in Java and modern cloud-based architectures to design, build, and scale high-performance backend systems supporting genomics and healthcare data platforms.
This role will involve building robust APIs, scalable data pipelines, and cloud-native services that power large-scale scientifi c and healthcare applications.
Key Responsibilities
- Design, develop, and maintain scalable backend services using Java and Spring Boot.
- Build and optimize RESTful APIs to support platform integrations and data services.
- Develop and manage data pipelines and ETL workfl ows to process large-scale biological and clinical datasets.
- Work with MySQL, Elasticsearch, and data warehouse systems for efficient data storage and retrieval.
- Implement cloud-native applications on AWS, ensuring high availability and scalability.
- Containerize applications using Docker and orchestrate deployments using Kubernetes.
- Build and maintain CI/CD pipelines for automated testing, integration, and deployment.
- Collaborate with cross-functional teams including bioinformatics scientists, data engineers, and product teams.
- Ensure code quality, performance optimization, and system reliability across services.
5+ years of experience in backend development.
- Strong programming experience in Java and Spring Boot.
- Experience working with MySQL or other relational databases.
- Hands-on experience with Elasticsearch for search and analytics.
- Experience designing ETL pipelines and data warehouse solutions.
- Strong exposure to AWS cloud services and cloud-native architectures.
- Experience with Docker and Kubernetes for containerized deployments.
- Knowledge of CI/CD pipelines and DevOps practices.
- Strong problem-solving skills and ability to work in a collaborative environment
Skills
- Java
- Spring Boot
- ETL
- MySQL
- Elasticsearch
- AWS
- Docker
- Kubernetes
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