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Tier-1 brand, metro location, generic senior engineer title, and broad skillset increase candidate competition.
Requires specialized cloud, distributed systems, and data-platform experience, moderately transferable across industries.
Explicit 8+ years, mandatory cloud, distributed systems, Databricks, and technical leadership increase filtering strictness.
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Lead design, architecture, and development of next-gen, scalable cloud-native experimentation and analytics platform.
Drive technical modernization strategy including evolving legacy systems to microservices, APIs, and cloud platforms like AWS and Azure.
Lead and coordinate technical execution and mentorship across globally distributed engineering teams ensuring secure, high-performance delivery.
8+ years software engineering experience in scalable, high-performance distributed or data-intensive systems.
Proven hands-on experience with cloud platforms (AWS/Azure), Databricks or Spark/PySpark, microservices, RESTful APIs, CI/CD, Kubernetes.
Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline.
Work Experience Required: 8+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced technical leader with ability to influence architecture, drive modernization, and manage cross-team initiatives globally.
Strong background in data-intensive application development and cloud-native microservices with modern delivery practices.
Effective collaborator capable of translating business needs to robust, secure technical solutions maintaining high engineering standards.