Senior Software Development Engineer in Test

As a Senior Software Development Engineer in Test I (Senior SDET I), you will design and implement robust testing strategies and automation solutions for complex, cross-team product features. You will own the end-to-end automation roadmap for one or more modules defining strategic goals, execution plans, and success metrics.

Responsibilities

Design and implement end-to-end automation frameworks and testing strategies for complex, cross-team features; Own the automation roadmap for one or more modules, defining goals, execution plans, and success metrics; Anticipate risks, identify testability gaps, and drive continuous improvements in quality and efficiency; Build and maintain functional, performance, resiliency, and security automation tools integrated into CI/CD pipelines; Design scalable test infrastructure for distributed systems, event-driven architectures, and cloud-native platforms; Collaborate across engineering, product, platform, and QA teams to ensure comprehensive coverage and reliable releases; Leverage AI-assisted automation tooling to accelerate test creation, maintenance, debugging, root-cause analysis, and release validation; Build AI-first automation workflows using LLM-powered tooling, intelligent test generation, self-healing automation, and agentic QA approaches; Drive innovation in autonomous quality engineering systems, including AI-assisted CI/CD validation, failure triaging, and predictive quality analysis; Champion modern quality engineering practices including observability-driven testing, production validation, synthetic monitoring, and intelligent automation standards; Provide technical mentorship to SDETs and engineers, elevating automation design, AI-assisted engineering practices, and code quality across teams

Requirements

You have at least 6+ years of experience in SDET contributions, automation engineering, and quality tooling; You are passionate about delivering high-quality, reliable products through automation and intelligent testing strategies for both frontend and backend systems; You have advanced proficiency in testing methodologies, automation frameworks, debugging techniques, and distributed system validation; You are experienced in building and maintaining test infrastructure across multiple platforms and services; You have strong command over algorithms, data structures, databases, and scripting languages (SQL, Python, JavaScript, TypeScript, or Java); You have hands-on experience with CI/CD pipelines, performance engineering tools, observability platforms, and monitoring systems; You have deep expertise in API and backend testing, ideally with experience in AWS and distributed systems such as Kafka, Kinesis, or event-driven architectures; You have hands-on experience setting up performance/load/stress testing infrastructure at scale; You have practical experience using AI-assisted development and automation tools to improve test coverage, productivity, and release confidence; You understand modern AI-first QA concepts including intelligent test generation, self-healing automation, autonomous validation workflows, and agentic QA systems; You are comfortable evaluating and integrating emerging AI tooling into engineering and quality workflows; You have strong systems thinking and can identify opportunities where AI can improve reliability, observability, and engineering efficiency

Nice to have

Experience with cloud-native QA automation architecture and tool implementation; Working knowledge of event-driven systems and distributed test environments; Familiarity with observability and monitoring tools for debugging in production; Experience with AI-powered testing platforms, autonomous QA agents, or LLM-assisted engineering workflows; Exposure to AI-assisted CI/CD validation, synthetic monitoring, chaos engineering, or intelligent release governance systems; Experience building scalable quality platforms for microservices and workflow orchestration systems