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

State Street UK

United Kingdom
Hybrid
Enterprise qa strategy
Banking and regulatory standards
Java/spring boot microservices
Define and own enterprise QA strategy across application, data, cloud, and AI platforms, ensuring adherence to banking, regulatory, security, and compliance standards

Job Summary

  • Define and own enterprise QA strategy across application, data, cloud, and AI platforms, ensuring adherence to banking, regulatory, security, and compliance standards.
  • Lead QA for Java/Spring Boot microservices, APIs, and cloud-native applications, and establish data quality frameworks for Databricks and Apache Spark pipelines.
  • Drive test automation, design performance testing strategies, define quality assurance approaches for AI/ML solutions, and provide quality metrics and risk assessments to senior stakeholders.

Matching Summary

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

Skills & Requirements

Must-have

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

Nice-to-have

  • AI/ML solutions validation
  • Data governance frameworks
  • Linux environments
  • Agile/DevOps delivery models
  • Banking domain knowledge

Key Requirements

  • 10-14 years of experience in QA/Testing
  • Banking or regulated enterprise environments
  • Experience testing Java/Spring Boot
  • Hands-on Databricks/Apache Spark
  • Data quality validation/reconciliation
  • Performance testing
  • QA frameworks/standards/controls
  • Test automation/CI/CD
  • Cloud-native/AWS
  • Analytical/documentation/communication skills

Work Rights

Not specified

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