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Tier-1 brand and metro location increase applicants, but seniority and niche data-platform focus limit generalist competition.
Requires deep data platform and distributed-systems expertise, limiting cross-industry transferability.
Explicit 12+ years overall, 5+ years management, and specific technical/cloud/data requirements make filters strict.
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Lead, mentor, and grow a cross-functional full-stack engineering team ensuring delivery of high-quality software with strong execution and operational rigor.
Own delivery outcomes and backlog management in partnership with Product Management to align with strategic goals and business impact.
Define and communicate technical vision, champion best practices, and solve complex challenges related to large-scale distributed systems and platform reliability.
12+ years of professional experience with at least 5 years in engineering leadership or management role.
Strong technical background in building and operating large-scale, distributed systems with high availability and scalability.
Experience working in Agile/Scrum environments including sprint planning and prioritization.
Work Experience Required: 12+ years including 5+ years leadership
Experienced in leading small to medium-sized software engineering teams focused on scalable backend and frontend systems.
Proficient in cross-functional collaboration with product, analytics, and engineering teams across global locations.
Strong technical depth in AWS services (Lambda, Cognito, EKS, OpenSearch, Kinesis, S3, SNS, SQS), serverless computing, and event-driven architectures to drive large-scale data workflows.