Software Development Engineer in Test

United StatesRemote

Responsibilities

RESPONSIBILITIES - Design and implement automated functional health checks for DR and production environments using synthetic transactions and API validation.
- Build continuous validation pipelines that verify end-to-end business workflows such as authentication, transactions, and system integrations.
- Build systems that recommend or trigger automated remediation actions to support early-stage self-healing capabilities.

ABOUT THE ROLE We are seeking a Senior SDET to support the next evolution of quality engineering by combining automated functional validation, production health monitoring, and AI-driven failure analysis.
- Develop AI/ML-driven approaches to detect failure patterns, correlate issues across services, and identify probable root causes.
experience in QA Automation, SDET, Software Engineering, or a related technical discipline. - Strong
Experience working in cloud environments, preferably AWS. - Familiarity with observability and monitoring platforms such as Datadog, New Relic, CloudWatch, Splunk, or similar tools. - Strong programming skills in TypeScript, Python, Java, or similar languages. -
Experience designing end-to-end test strategies for distributed systems and production-like environments. - Strong problem-solving skills, with the ability to analyze failures across application, infrastructure, and workflow layers. PREFERRED QUALIFICATIONS -
Experience with synthetic monitoring, production validation, or proactive health-checking systems. - Exposure to AI/ML techniques for anomaly detection, log analysis, or failure correlation. -
Experience with CI/CD pipelines, release automation, and validation gates. - Understanding of microservices architecture, distributed system failure modes, and incident management practices. - Familiarity with SRE concepts such as SLIs, SLOs, error budgets, or production-readiness practices.