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Tier-1 brand and metro location increase applicant density, but senior specialization limits competition.
Deep backend, distributed systems, cloud, and platform expectations make cross-industry transitions harder.
Explicit 12+ years leadership and numerous expert-level technical requirements create strict shortlisting filters.
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Define technical vision and architectural direction for back-end services with full ownership from design through production.
Provide technical leadership including hands-on coding, code reviews, mentoring, and driving best software engineering practices.
Lead design and governance of scalable, reliable, secure distributed platforms leveraging AI-enabled workflows and cloud-native AWS services.
12+ years engineering leadership experience, ~20 years overall, with 5+ years at staff/principal level.
Expert proficiency in Java 17+, OOP/OOD, RESTful architecture, and multiple architectural paradigms including event-driven and microservices.
Expert knowledge of AWS cloud-native architecture including EKS, networking, messaging, and databases like Neo4j/PostgreSQL.
Proven ability designing large-scale distributed systems with strong observability, QA automation, and experience with AI-enabled development practices.
Senior engineering leader capable of managing complex cross-functional and geographically dispersed teams and multiple assignments.
Deep expertise in cloud-native distributed systems, microservices architecture, and RESTful API standards driving enterprise-wide adoption.
Experienced in advancing AI-enabled engineering workflows and embedding security, compliance, and data-privacy in large-scale platforms.