Join Parspec as an SDET to build automated test frameworks and validate AI-driven workflows. Contribute to quality engineering across our platform and crawler systems.
Responsibilities
Own test strategy, automation, and reliability validation for Crawler, Platform, and Search services using Python, Go, and AWS tools.
Design end-to-end automated testing frameworks for microservices, asynchronous data pipelines, integration, regression, and performance testing.
Build synthetic and chaos testing frameworks to identify edge cases, performance bottlenecks, and data workflow issues in large-scale crawling systems.
Collaborate with Platform engineers to instrument observability, alerting, and monitoring (AWS OpenSearch, Prometheus, Grafana, CloudWatch).
Partner with Search engineers to validate query relevance, accuracy, latency, and performance SLAs.
Introduce static analysis, CI/CD gate validation, and reproducible test environments to catch issues early.
Create automated performance benchmarking tools to measure throughput, latency, and cost economics across distributed components.
Contribute to internal QA frameworks for AI API evaluation, schema validation, and data consistency checks.
Drive continuous improvement and quality ownership across mission-critical systems powering construction data intelligence.
Requirements
3+ years of experience as SDET and QA Automation Engineer
Strong coding skills in Python, Go, Javascript, Typescript or Java with experience building/maintaining automation frameworks.
Experience testing distributed microservices, async data pipelines, message queues (AWS Lambda, SQS, Kafka), and UI automated testing.
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