Covera is building the leading healthcare intelligence platform to improve diagnostic accuracy and patient outcomes by tackling the challenge of quality in healthcare, specifically in radiology, to impact millions of lives by raising the standard of care nationwide.
Requirements
- Proficiency in Python and software design best practices
- Hands-on experience with Kubernetes and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of relational databases (PostgreSQL, MySQL, etc.)
- Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform)
- Background in healthcare data standards (e.g., DICOM, HL7) or prior experience in health tech
- Exposure to front-end technologies (HTML, CSS, JavaScript frameworks) preferred
Responsibilities
- Design, develop, and maintain secure, cloud-native services that scale with business and clinical needs.
- Build and operate containerized applications leveraging Kubernetes and related technologies
- Develop clean, testable, and maintainable code in Python, supporting both internal teams and external stakeholders
- Implement integrations and workflows that streamline healthcare data processing (e.g., DICOM imaging, HL7 messaging)
- Ensure performance, resilience, and security best practices are embedded into all systems
- Own end-to-end delivery of major features, from technical exploration and implementation through deployment and monitoring
- Drive problem-solving including diagnosing and debugging complex issues in production environments, and driving them to full resolution
Other
- 5+ years of software engineering experience
- Ability to balance competing requirements, solve complex problems, and deliver practical, scalable solutions
- Collaborate with cross-functional teams including Product, Data Science, Clinical, and Engineering to align technology with business goals
- The minimum and maximum base salary for this position ranges from $170,000 - $180,000, in addition to a discretionary bonus and comprehensive benefits package.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
