Software Development Engineer in Test
Core
Design and build automated quality and validation systems for production and disaster recovery environments, integrating AI-driven failure analysis to ensure system reliability and self-diagnosis capabilities.
Role type
Senior SDET (Software Development Engineer in Test) specializing in production validation and intelligent diagnostics
Builds
Automated functional health checks, continuous validation pipelines, intelligent alerting mechanisms, and AI/ML-driven failure detection systems
Domain
Identity verification, digital economy, distributed systems, cloud infrastructure
Deliverable
production ML models | product features
Required skills
Automated test framework design, API validation, cloud environment expertise, observability integration, TypeScript/Python/Java programming, end-to-end test strategy for distributed systems, failure analysis across application and infrastructure layers
Preferred skills
Synthetic monitoring, AI/ML for anomaly detection, CI/CD pipeline automation, microservices architecture knowledge, SRE concepts (SLIs/SLOs)
Technologies
Playwright, Jest, SuperTest, REST API testing frameworks, AWS, Datadog, New Relic, CloudWatch, Splunk
Responsibilities
Design automated functional health checks using synthetic transactions; Build continuous validation pipelines for business workflows; Develop AI/ML-driven approaches to detect failure patterns and root causes; Integrate observability signals with automated test frameworks; Build systems for automated remediation actions; Partner with QA, SRE, and Engineering teams to improve reliability; Define and report on functional SLAs and quality metrics
Seniority
Senior, hands-on IC
