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Tier-1 employer plus a generalist senior backend role with broad requirements increases competition.
Backend engineering skills are transferable, but healthcare compliance and AI governance require domain familiarity.
Explicit 10+ years, senior title, mandatory Java/Python and regulated healthcare expectations increase screening strictness.
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Own end-to-end design, development, testing, deployment, and maintenance of complex software components and features using modern programming languages and cloud technologies.
Implement and improve CI/CD automation, quality gates, telemetry, and release controls to support frequent and reliable production delivery.
Lead root-cause analysis, mentor engineers, promote engineering standards, and drive AI-assisted development adoption to improve delivery speed, quality, and operational outcomes.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field, or equivalent experience.
10+ years of professional software engineering experience delivering production solutions across the full development lifecycle with increasing responsibility.
Hands-on expertise in at least one modern programming language and ecosystem such as Java or Python, and experience with cloud platforms, containers, data stores, source control, build and deployment automation, observability, and production support.
Experience designing and delivering APIs, distributed systems or full-stack applications, automated testing integrated into CI/CD pipelines, and practical use of AI-assisted software engineering tools with adherence to enterprise security and responsible use policies.
Pragmatic engineer with strong software fundamentals who embraces an automation-first and AI-first approach to accelerate development while maintaining human validation.
Able to operate independently on complex projects, influence technical decisions, communicate tradeoffs clearly, and mentor peers across global cross-functional teams.
Comfortable handling business context through implementation and operations, treating testing as a core engineering responsibility to improve software quality and customer outcomes.