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Tier-1 brand, senior generalist title, metro locations, and in-demand cloud/Kubernetes skills amplify competition.
Core cloud, distributed systems, and Kubernetes skills transfer across industries despite healthcare domain preference.
Strong mandatory tech stack (deep Java, Kubernetes, distributed systems) and platform experience make filters strict.
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Own solving complex production and debugging challenges in distributed cloud-native EHR systems.
Design and lead scalable, reliable, and observable system architectures incorporating AI-driven automation and AIOps.
Mentor and elevate engineering teams while driving engineering excellence through design reviews and best practices.
Deep expertise in Java with strong debugging and troubleshooting skills.
Experience with Python and/or shell scripting.
Background in microservices, Kubernetes, cloud platforms, and operating distributed systems in production.
Work Experience Required: Not explicitly mentioned in the JD.
Senior engineer skilled in distributed systems and cloud-native architectures with hands-on coding and leadership ability.
Experienced at mentoring and leading technical teams in a production environment with high-impact healthcare systems.
Comfortable influencing architecture, technical strategy, and contributing to AI-driven healthcare platforms.