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Generalist senior backend role in metro with broad skillset at a well-known startup increases candidate competition.
Core backend, cloud, and ML integration skills are transferable, but healthcare compliance requirements raise sensitivity to medium.
7+ years plus mandatory backend, cloud, ML operational, and compliance experience implies high shortlisting strictness.
Design, build, and ship complex backend services, APIs, data pipelines, and AI/ML-powered features with hands-on coding.
Drive technical design decisions for scalability, performance, security, and cost within the team or domain, ensuring compliance with healthcare regulations (HIPAA, GDPR).
Provide hands-on mentorship to engineers and collaborate with product and clinical stakeholders to translate healthcare goals into scalable software solutions.
7+ years of software engineering experience with a proven record of building and shipping production systems.
Strong hands-on coding expertise in modern languages such as Python, Java, or Go; daily coding expected.
Experience building and integrating AI/ML features into production systems and familiarity with operating production environments (CI/CD, monitoring, incident response).
Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, or related field, or equivalent practical experience.
Experienced in designing and operating distributed backend systems and data-intensive architectures within regulated domains like healthcare.
Capable of leading technical direction through hands-on coding and direct mentorship rather than purely managerial tasks.
Comfortable handling compliance, security, and healthcare data standards while balancing operational excellence and cost in cloud-native environments.