





Tier-1 brand and Hyderabad location increase applicants, but senior, specialized platform focus reduces competition.
Requires specialized cloud/Kubernetes, Databricks and senior platform experience, making cross-industry fit limited.
Explicit 13+ years, mandatory Kubernetes/Databricks/PySpark and people management make filters very strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Provide technical leadership and guidance across business, technical teams, contractors, and vendors within an agile environment.
Lead end-to-end design, development, and operational stability of secure, scalable cloud-native services and data pipelines leveraging Kubernetes and Databricks.
Oversee deliverables and coach associates in Hyderabad, influencing product design, application functionality, and engineering processes with expertise in DevSecOps and GenAI developer tools.
10+ years applied experience in software engineering with formal training or certification.
13+ years experience including strong hands-on skills with Kubernetes, PySpark, Python/Java, Shell scripting, SQL, Terraform, and cloud-native platforms.
Proven people management experience specifically overseeing and coaching associates in Hyderabad.
Relevant educational background in Computer Science, Computer Engineering, Mathematics, or related technical field.
Experienced technical leader with deep expertise in Kubernetes platforms, PySpark, and modern DevSecOps practices in complex, secure enterprise environments.
Comfortable owning product design and operational decisions, driving best practices and automation of CI/CD, resiliency, observability, and security controls.
Skilled at working hands-on while providing leadership and mentoring, especially in building and optimizing analytical workloads on Kubernetes and Databricks.