Software Engineer

Caris Life Sciences is transforming cancer care and improving lives through precision medicine and innovative technologies. They are seeking a Software Engineer to join their Data and Software Engineering team, focusing on developing software solutions and enhancing data infrastructure using cutting-edge technologies.

Responsibilities:

• Execute full software development life cycle (SDLC)
• Monitor and maintain our data pipeline and application infrastructures to ensure continuous operation in an AWS environment
• Develop and integrate Gen AI solutions to improve workflows and automation
• Develop production-grade software systems that incorporate AI/ML, LLMs, and agentic workflows
• Develop and enhance full-stack applications using Python, Django/Flask, and React
• Collaborate with cross-functional teams, product managers, and business analysts to define requirements, develop specifications, and deliver software solutions
• Monitor and enhance our CI/CD capabilities in GitLab
• Monitor and optimize application performance, troubleshoot issues, and implement solutions to enhance user experience
• Create and maintain technical documentation for software systems and processes
• Stay updated on emerging technologies and industry best practices, and contribute to continuous improvement and innovation within the team

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 3-5 years of professional software development experience building enterprise-level applications
• Strong hands-on Python experience with solid programming fundamentals
• Hands-on experience with AWS cloud services and infrastructure
• Experience with Gen AI development: LLMs, prompt engineering, and agentic systems
• Proficiency in version control, CI/CD pipelines, and DevOps
• Strong problem-solving skills and attention to detail, with the ability to analyze complex issues and implement effective solutions
• Customer-centric attitude and passion for providing high-quality services
• Experience with workflow orchestration frameworks such as Metaflow, Nextflow, or Airflow
• Experience building cloud-native web applications, particularly with React
• Experience with data engineering concepts including SQL, ETL pipelines, and data modeling
• Hands-on experience with containerization technologies such as Docker
• Experience using CDK to deploy and manage AWS infrastructure