Level I - Software Engineer

Role Overview:

As a Sr. Software Engineer, your primary responsibility is to develop, maintain, and optimize cutting-edge clinical applications. You are expected to ensure that these applications meet high-performance, scalability, and reliability standards. Your role will involve working with modern technologies, managing data flow, and collaborating with cross-functional teams to deliver innovative solutions. A strong background in both front-end and back-end development, coupled with experience in cloud-based technologies, is essential.

Key Responsibilities:

• Build robust server-side applications using Node.js, Node, NestJS, and Python
• Collaborate with front-end teams to design and implement interactive user interfaces using frameworks like React, Vue, and JavaScript
• Write clean, efficient, and well-documented code adhering to coding standards and testing best practices
• Develop scalable and secure back-end components of web applications, ensuring performance and reliability
• Design and implement RESTful APIs to support front-end functionality
• Deploy and manage applications on Google Cloud Platform (GCP)
• Leverage cloud-native services for development, data integration, and continuous deployment
• Optimize cloud resources for performance, scalability, and cost-effectiveness
• Automate provisioning and resource management using tools like Terraform, Kubernetes, Jenkins, and Argo CD
• Design and maintain databases using PostgreSQL, SQL, and BigQuery
• Optimize data pipelines and workflows using Google Dataflow, Google Composer (or Apache Airflow) for task orchestration and scheduling
• Work with structured and unstructured datasets for data flow and analytics
• Utilize Kafka for building real-time data pipelines and streaming applications
• Write and optimize complex SQL queries for data analysis and transformations
• Implement and manage CI/CD pipelines for seamless code deployment
• Enhance system observability through logging, monitoring, and alerting strategies
• Ensure applications meet security standards and best practices
• Collaborate with security teams to address vulnerabilities and enforce compliance requirements
• Adhere to data protection protocols like HIPAA

Qualifications Required:

• Bachelors degree in information technology, computer science, or related fields
• 4-6 years of relevant work experience including 3+ years of engineering, delivering, and supporting production software products
• 3+ years of experience with Vue, React, Node.js, and Python

Additional Details:

Omit this section as there are no additional details of the company mentioned in the job description. Role Overview:

As a Sr. Software Engineer, your primary responsibility is to develop, maintain, and optimize cutting-edge clinical applications. You are expected to ensure that these applications meet high-performance, scalability, and reliability standards. Your role will involve working with modern technologies, managing data flow, and collaborating with cross-functional teams to deliver innovative solutions. A strong background in both front-end and back-end development, coupled with experience in cloud-based technologies, is essential.

Key Responsibilities:

• Build robust server-side applications using Node.js, Node, NestJS, and Python
• Collaborate with front-end teams to design and implement interactive user interfaces using frameworks like React, Vue, and JavaScript
• Write clean, efficient, and well-documented code adhering to coding standards and testing best practices
• Develop scalable and secure back-end components of web applications, ensuring performance and reliability
• Design and implement RESTful APIs to support front-end functionality
• Deploy and manage applications on Google Cloud Platform (GCP)
• Leverage cloud-native services for development, data integration, and continuous deployment
• Optimize cloud resources for performance, scalability, and cost-effectiveness
• Automate provisioning and resource management using tools like Terraform, Kubernetes, Jenkins, and Argo CD
• Design and maintain databases using PostgreSQL, SQL, and BigQuery
• Optimize data pipelines and workflows using Google Dataflow, Google Composer (or Apache Airflow) for task orchestration and scheduling
• Work with structured and unstructured datasets for data flow and analytics
• Utilize Kafka for building real-time data pipelines and streaming applications
• Write and optimize complex SQL queries for data analysis and transformations
• Implement and manage CI/CD pipelines for seamless code deployment
• Enhance system observability through logging, monitoring, and alerting strategies
• Ensure applications meet security standards and best practices
• Collaborate with security teams to address vulnerabilities and enforce compliance requirements
• Adhere to data protection protocols like HIPAA

Qualifications Required:

• Bachelors degree in information technology, computer science, or related fields
• 4-6 years of relev