Job Description

Responsibilities:

• Own and design the end-to-end regression testing strategy and framework across multiple platform components and enterprise environments.
• Translate formal success metrics and technical evaluation criteria into clear, measurable, and automatable acceptance criteria.
• Define comprehensive test coverage for:
  • Log and metric ingestion.
  • Search and query performance.
  • Distributed tracing correctness.
  • Audit trail integrity and immutability.
  • Alert firing, delivery, and routing.
  • Infrastructure as Code (IaC) deployment validation.
  • Load and scalability scenarios.
  • Failure-injection scenarios.
  • Security and compliance-related acceptance criteria.
  • Design the automation architecture and determine the appropriate testing approaches and tooling.
  • Establish regression suites that continuously validate sprint deliverables.
  • Own test environment strategy and test data management across multiple product versions and environments.
  • Define approaches for performance, functional, security, and scalability validation.
  • Validate that Infrastructure as Code deployments are reproducible and meet defined acceptance criteria.
  • Collaborate with engineering teams to ensure testing approaches align with the underlying platform architecture.
  • Track testing progress, risks, defects, and overall quality status throughout the development lifecycle.
  • Provide clear quality reporting and recommendations during sprint reviews and stakeholder discussions.
  • Own quality gates and provide sign-off recommendations ahead of formal acceptance.

Requirements:

• 8+ years of professional experience in Test Architecture, Quality Engineering, QA Automation, or similar technical quality roles.
• Proven experience leading testing strategy for distributed, data-intensive, or infrastructure-heavy systems.
• Deep experience designing comprehensive regression testing frameworks and automation strategies.
• Experience validating more than functional behavior, including performance, scalability, security, and reliability
• Strong understanding of modern observability concepts and distributed systems.
• Experience working with cloud-based infrastructure and automated deployment environments.
• Strong understanding of software development lifecycles, Agile delivery, and sprint-based development.
• Experience defining formal acceptance criteria and quality gates.
• Strong written and verbal English communication skills.

Must Have:

• 8+ years of experience in Test Architecture, QA Engineering, Quality Engineering, or QA leadership roles.
• Proven ownership of regression testing strategy and automation architecture.
• Deep experience designing regression frameworks covering functional, performance, and security validation
• Experience testing distributed, data-intensive, infrastructure-heavy, or observability-related systems.
• Working knowledge of OpenTelemetry and modern observability concepts.
• Understanding of log and metrics pipelines.
• Experience validating distributed tracing and/or observability workflows.
• Working knowledge of AWS-based infrastructure sufficient to design meaningful technical test cases.
• Experience validating Infrastructure as Code (IaC) deployments.
• Experience working with Terraform-deployed environments
• Experience with load, scale, and performance testing.
• Experience defining test strategies across multiple environments and/or product versions.
• Experience defining test environments and test data strategies.
• Experience translating technical success metrics into measurable and automatable acceptance criteria.
• Experience working with formal quality gates and Definition of Done (DoD).
• Comfortable owning quality sign-off and providing acceptance recommendations.

Nice to Have:

Previous experience testing observability platforms.
Experience with logging, monitoring, tracing, or telemetry platforms.
Experience validating audit trail integrity and immutability.
Experience with failure-injection or resilience testing.
Experience with compliance-oriented or security-sensitive platforms.
Experience testing ERP or other complex enterprise platforms.
Experience working across multiple versions of the same enterprise application.
Experience defining testing strategies for high-volume data ingestion systems.
Experience with performance benchmarking and scalability validation.
Experience working in client-facing technical engagements.