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Strong employer brand plus a visible engineering manager title, but senior requirement and niche stack moderate competition.
Role requires domain-specific data engineering, cloud infrastructure and GenAI experience, limiting cross-industry transferability.
Explicit 11+ years and 3+ years managerial requirement plus mandatory Go/Python, AWS, terraform, Kubernetes makes filtering strict.
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Lead and manage a software engineering team focused on data quality, observability, and governance solutions.
Design and implement enterprise-wide architectural strategies for next-generation capabilities within an agile environment.
Collaborate cross-functionally to deliver innovative, user-oriented, production-ready applications with strong emphasis on data integrity and efficient processes.
11+ years of relevant software engineering experience.
3+ years of experience managing software engineering teams.
Hands-on experience with GoLang, Python, AWS (ECS, Aurora), terraform, Openshift/Kubernetes, CI/CD tools (Jenkins, GitHub Actions).
Experience with GenAI LLM development and testing required.
Technically proficient leader capable of managing engineering teams and guiding architecture for data-centric solutions, emphasizing quality and governance.
Experience operating in agile, cross-functional environments delivering scalable, production-ready data applications.
Strong background in cloud infrastructure (AWS) and DevOps practices with familiarity of BI tools like Grafana for monitoring and observability.