Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand and Hyderabad metro increase competition, but seniority and Databricks specialization limit candidate pool.
Role requires deep SRE, Databricks and cloud data platform expertise, limiting cross-industry transferability.
Explicit 10+ years, SRE, Databricks, Terraform, Python and security requirements make filters highly stringent.
Lead a team to design, implement, and maintain a managed AWS Databricks platform with engineering and operational support for applications.
Develop multi-AZ, multi-region, and multi-cloud resiliency strategies and improve system observability, alerting, and capacity planning.
Drive AI-assisted reliability workflows adoption, automate recurring issues, and ensure security, auditability, and operational excellence in SRE practices.
10+ years of applied experience with formal training or certification in software engineering concepts.
Strong understanding of SRE principles including SLIs, SLOs, error budgets, and incident management.
Proficiency in Python application development with automated unit testing and experience with Terraform development and enterprise.
Experience in using enterprise-authorized AI capabilities to improve reliability workflows with adherence to validation and data sensitivity best practices.
Experienced in leading SRE teams focused on cloud data platforms, specifically AWS Databricks and big data ecosystems.
Skilled in applying AI-assisted workflows responsibly within SRE operations ensuring resiliency, security, and auditability.
Familiar with large-scale distributed data processing frameworks (Spark, Glue, MapReduce) and infrastructure automation with Terraform and CI/CD.