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Strong employer brand plus a common fullstack senior role creates moderate candidate competition.
Core fullstack engineering skills are transferable, though healthcare domain knowledge moderately favors relevant background.
Multiple mandatory engineering practices, CI/CD, security and testing expectations imply moderately strict shortlisting.
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Design, develop, test, deploy, and maintain production software including APIs, services, applications, data workflows, and cloud-native components with a focus on operational excellence and production stability.
Implement AI-driven development lifecycle (AIDLC) practices using enterprise-approved AI tools to enhance software delivery speed, quality, and automation while ensuring human review and security compliance.
Collaborate cross-functionally to develop secure, maintainable code; modernize legacy systems; improve CI/CD pipelines; and develop automated testing strategies for early defect detection and reduced cycle times.
Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience.
Work Experience Required: Not explicitly mentioned in the JD.
Proven experience with full-stack software development using Java and Python.
Familiarity with AI-assisted development tools, secure coding practices, CI/CD pipelines, automated testing, and cloud-native architectures.
Experienced in applying AI-driven development lifecycle (AIDLC) methodologies in enterprise software environments with human accountability for outputs.
Skilled in designing and automating comprehensive test strategies including unit, integration, performance, security, and resiliency testing to ensure high-quality software delivery.
Demonstrates ability to improve software delivery metrics such as lead time, deployment frequency, and defect rates by integrating AI tools and strong operational monitoring practices.