Software Engineer

Beacon is a rapidly growing healthcare AI infrastructure company focused on enabling the responsible development and deployment of clinical artificial intelligence solutions. The Software Engineer will play a key role in expanding and improving large-scale data processing systems that protect patient privacy while enabling AI innovation.

Responsibilities:

• Designing and building scalable software systems that process and de-identify large healthcare datasets at significant scale
• Developing and executing quality assurance frameworks to validate privacy-preserving workflows
• Deploying and optimizing data processing pipelines within cloud environments to improve reliability, efficiency, and cost-effectiveness
• Collaborating with privacy, compliance, and clinical domain experts to define and implement de-identification requirements
• Continuously improving operational workflows, automation, and processing performance

Requirements:

• 3+ years of professional software development experience using Python or a similar programming language
• Experience across the full software development lifecycle, including design, development, testing, deployment, and maintenance
• Familiarity with SQL and command-line scripting tools such as Bash
• Experience working with data processing and analytics workflows
• Strong analytical thinking and problem-solving capabilities
• Ability to design, optimize, and document operational processes
• Experience managing quality assurance and workflow improvements
• Strong organizational and prioritization skills
• Collaborative mindset with the ability to work cross-functionally
• Passion for data privacy, security, and responsible use of sensitive information
• Experience working with Pandas or similar data processing frameworks
• Cloud platform experience (AWS, Azure, or equivalent)
• Familiarity with containerization and virtualization technologies such as Docker
• Exposure to healthcare, life sciences, or regulated data environments
• Ability to communicate technical concepts effectively to non-technical stakeholders