Description

You will build software services and applications to process healthcare data, extract insights, and automate ETL pipelines.

Responsibilities

• Develop scalable, secure, cloud-native applications following twelve-factor app principles and SOLID design patterns.
• Build pipeline code to automate data flow using tools like Apache Airflow.
• Write monitoring code to ensure service correctness, performance, and uptime.
• Own the full software lifecycle, including requirements analysis, iterative development, release, and maintenance.
• Deploy application artifacts to target environments using supported infrastructure.

Required Skills

• 10-15 years of programming experience with Python, Ruby, C#, or Node.js Javascript.
• Experience architecting solutions using modern, secure, cloud-based container platforms (PaaS/SaaS).
• Experience building and deploying containerized services to a cloud platform.
• Experience writing code for cluster management using Kubernetes.
• Experience with data streaming, ingestion, ETL, and data warehousing technologies.
• Proficiency with Git, including Pull Requests, Code Reviews, and GitHub Flow.
• Experience writing comprehensive unit tests and integrating them into CI/CD pipelines.
• Advanced knowledge of application, data, and infrastructure architecture.

Preferred Skills

• Master’s or PhD degree.
• 15+ years of programming experience.
• Experience with Google Cloud Platform.

Key Skills

Education

Master’s / PhD