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Metro location and broad data/AI leadership skillset raise competition despite a mid-tier employer.
Requires specific data engineering and AI leadership, but skills remain broadly transferable across industries.
Explicit 12-year requirement plus leadership and production data/AI experience make filters stringent.
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Lead and manage a team of software and data engineers to plan, execute, and deliver scalable cloud services, APIs, and AI-enabled data platforms.
Collaborate with product, analytics, data science, and engineering teams to translate requirements into prioritized, production-ready solutions focused on reliability, security, and scalability.
Oversee engineering best practices including code quality, test automation, CI/CD, monitoring, and leverage AI-assisted workflows to improve productivity and product impact.
12 years of industry experience in software or data engineering with substantial experience leading engineering teams.
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or related technical field.
Strong experience building and operating reliable production cloud services, preferably on AWS, with proficiency in modern programming languages like Python, Go, Java, or Scala.
Work Experience Required: 12 years as stated; Notice Period: Not explicitly mentioned in the JD.
Experienced leader with demonstrated success managing cross-functional teams across software engineering, data engineering, analytics, and data science.
Strong technical background in cloud-based applications, distributed systems, and AI-enabled engineering workflows.
Customer-focused mindset balancing operational excellence, short-term delivery, and long-term technical strategy in a complex environment.