Lead Quality Assurance Engineer (applications & Data Platforms) - Manager

State Street UK

Bangalore, India
On-site
Enterprise qa strategy
Java / spring boot microservices
Databricks and apache spark pipelines
Define and own enterprise QA strategy across application, data, cloud, and AI platforms, ensuring adherence to banking and regulatory standards

Job Summary

  • Define and own enterprise QA strategy across application, data, cloud, and AI platforms, ensuring adherence to banking and regulatory standards.
  • Lead QA for Java/Spring Boot microservices, APIs, cloud-native applications, and Databricks/Apache Spark data pipelines, driving test automation and quality metrics.
  • Mentor QA team members and elevate overall quality maturity across the organization, partnering with engineering and data teams to deliver high-quality solutions.

Matching Summary

Define and own enterprise QA strategy across application, data, cloud, and AI platforms, ensuring adherence to banking and regulatory standards.

Skills & Requirements

Must-have

  • Enterprise QA strategy
  • Java / Spring Boot microservices
  • Databricks and Apache Spark pipelines
  • Data quality validation frameworks
  • Performance, load, and stress testing
  • Test automation and CI/CD pipelines
  • Cloud-native architectures and AWS

Nice-to-have

  • AI/ML solutions validation
  • Data governance and lineage
  • Linux environments and database testing
  • Agile/DevOps delivery models
  • Banking domain knowledge

Key Requirements

  • 10-14 years of experience in QA
  • Banking or regulated enterprise environments
  • Experience with Java and Spring Boot
  • Hands-on experience with Databricks and Apache Spark
  • Experience in performance testing
  • Ability to define and govern QA frameworks
  • Experience with test automation frameworks
  • Strong understanding of cloud-native architectures and AWS

Work Rights

Not specified

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