At Covera, the business problem is to improve diagnostic accuracy and patient outcomes by designing, building, and optimizing scalable, secure, and reliable systems that support clinical analytics and data pipelines.
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)
- Collaborate with cross-functional teams including Product, Data Science, Clinical, and Engineering to align technology with business goals
- Ensure performance, resilience, and security best practices are embedded into all systems
Other
- Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience
- 3+ years of software engineering experience
- Ability to balance competing requirements, solve complex problems, and deliver practical, scalable solutions
- Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents
- 401(k) Retirement Plan
