1 день назад
Software Development Engineer in Test (SDET)
90 000 - 120 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Development Engineer in Test (SDET) (AI): Building and maintaining automated tests for APIs, web applications, data pipelines, and AI-powered services with an accent on test design, data quality, and model evaluation. Focus on integrating reliable test suites into CI/CD, validating releases and production behavior, and investigating complex failures across applications, data, and AI systems.
Location: Marina del Rey, California, United States. Hybrid and fully remote work options are available.
Salary: $90,000–$120,000 per year.
Company
develops AI-powered content classification, verification, and activation products for brands and advertisers across open social platforms.
What you will do
- Plan feature testing, covering happy paths, edge cases, boundary values, and negative cases.
- Build and maintain automated tests for REST and GraphQL APIs, backend services, web UIs, and partner APIs.
- Validate data pipelines through schema, row-count, freshness, and business-rule checks.
- Test AI and ML features, including model and prompt comparisons, shadow deployments, AI agents, and MCP server behavior.
- Integrate test suites into CI/CD pipelines, triage failures, reduce flakiness, and validate releases across preview, staging, and production.
- Monitor production quality, investigate incidents, identify root causes, and communicate findings across engineering, product, data science, and customer-facing teams.
Requirements
- 1–3 years of experience as a QA engineer or SDET with hands-on test automation.
- Strong coding skills in Python or another suitable language such as Java, TypeScript, or Go.
- Experience with API testing, including request and response validation, schema checks, and negative cases.
- Experience with Playwright, Cypress, Selenium, or a comparable modern UI end-to-end framework.
- Working SQL skills and the ability to inspect logs, network calls, and databases while debugging.
- Experience with Git, pull requests, code review, CI/CD pipelines, and clear technical communication.
Nice to have
- Experience with cloud platforms, containers, data pipelines, orchestration tools, or data warehouses.
- Experience testing ML models, LLM-powered features, AI agents, or MCP servers.
- Experience with observability, alerting, synthetic monitoring, performance testing, or load testing.
- Background in ad tech, digital media, third-party platform APIs, or React.
- Knowledge of security basics for test environments and test-account secret management.
Culture & Benefits
- Flexible PTO, 13 paid holidays, summer Fridays, and paid parental leave.
- Medical, dental, and vision insurance with FSA options.
- Company-paid life insurance and a 401(k) with company match.
- Professional development opportunities.
- In-office lunches, free food, and optional in-person and virtual events.
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