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Known data-company, metro location, but senior specialized role reduces applicant density.
Requires deep data platform, distributed systems, and cloud experience, limiting cross-industry transferability.
Explicit 10+ years, management experience, and specific data/platform tech make filters highly strict.
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Lead and grow multiple engineering teams to deliver scalable, secure, enterprise-grade data services and platform capabilities across hybrid and multi-cloud environments.
Drive execution of roadmap delivery, operational excellence, engineering quality, and mentor engineering managers and senior engineers.
Collaborate cross-functionally to define technical strategy, participate in architecture reviews, and improve operational metrics, service reliability, and customer satisfaction.
10+ years of software engineering experience with 3–5+ years managing engineering teams, including managing distributed engineering teams.
Strong technical background in distributed systems, cloud infrastructure, or data platforms using technologies like Kubernetes, Docker, Java/Scala/Python/Go, REST/gRPC APIs, Kafka, Spark, Hadoop, Iceberg, AWS/Azure/GCP.
Experience with SaaS platform operations, reliability engineering, Agile methodologies, and DevOps practices.
Work Experience Required: 10+ years in software engineering with 3–5+ years in engineering management.
Experienced leader capable of managing multiple engineering teams across geographically distributed setups with a focus on cloud-native data services.
Strategic operator skilled in executing large-scale technical initiatives in distributed systems, platform modernization, or cloud migration.
Technically strong with hands-on experience in enterprise data management, analytics, AI/ML, and familiarity with open-source ecosystems and enterprise software delivery.