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Tier-1 brand and metro presence increase competition, but senior specialization reduces applicant pool.
Specialized data platform, PySpark, Databricks and Kubernetes experience required, limiting cross-industry transferability.
Explicit 13+ years, people management, and mandatory Kubernetes/Databricks/PySpark skills enforce strict filters.
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Own end-to-end delivery, design, development, and production stability of secure, scalable cloud-native services and data pipelines.
Provide technical guidance and leadership across teams and vendors, including coaching associates based in Hyderabad.
Drive product design, application functionality, technical operations, and promote firmwide software engineering best practices, especially with Kubernetes, PySpark, and modern DevSecOps.
10+ years of applied software engineering experience; 13+ years preferred for technical leadership aspects.
Hands-on expertise in Python, PySpark and/or Java, Shell scripting, SQL, Kubernetes, Terraform, Databricks, and cloud-native development.
People management experience overseeing deliverables and coaching associates, specifically in Hyderabad location.
Degree in Computer Science, Computer Engineering, Mathematics, or related technical field.
Experienced in leading secure, scalable cloud service delivery with strong practical knowledge of Kubernetes and PySpark environments.
Technical leader capable of independently solving design and functionality challenges with minimal oversight and strong DevSecOps skills.
Comfortable managing cross-functional teams and vendors with demonstrated ability to influence engineering communities and integrate advanced AI developer tools.