出海雷达

高级SDET -(印度)

Senior SDET – (India)

AI职能支持限定地区(需当地身份)
公司Welo Global
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Freelance
发布时间未知
数据来源Lever
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

职位描述

我们正在寻找一名高级SDET,以测试支持高风险账户创建和注册流程的分布式后端系统的弹性和正确性。该职位专注于在预批准的、无害的追踪/重放场景下对测试环境端点进行执行,分析请求/响应行为,并记录可观察到的账户/CID生命周期及下游状态行为。理想的候选人具备扎实的分布式系统和API测试经验,并保持严谨的技术证据收集和可追溯性。此职位不用于执行不受限制的对抗性测试。测试活动将仅限于批准的测试环境和预批准的无害场景。

项目详情

• 职位名称:高级SDET

• 薪资:13.5美元/小时

• 开始日期:10月19日

• 持续时间:5周

• 工作量:每周33小时

• 地点:印度(远程)

• 职位类型:自由职业(根据表现和项目需求,可能转为全职)

为什么加入Welo Data?
✨ 无限灵活:根据你的日程安排参与项目,与人工智能数据服务和本地化领域的全球领导者合作。
🌱 无限成长:应用你的技能,接触多样化的内容类型,通过结构化学习提升能力,并探索可能转为正式职位的职业路径。
🌍 无限支持:成为全球社区的一员,实时获得我们社区体验团队的帮助。

如何申请?
现在就回答几个快速问题,加入我们的数据库,成为我们不断壮大的社区一员。

我们迫不及待想见到你!

关于Welo Data
Welo Data是Welocalize旗下的一家全球人工智能数据公司,拥有超过50万名贡献者,为训练世界上最先进的AI系统提供高质量、符合伦理的数据。我们在100多个国家拥有一个多元化的社区,致力于打造更智能、更人性化的AI。

在Welo Data,无限AI,无限你。这不仅是一句口号——这是我们对你的承诺。我们通过人类贡献的力量打造更智能的AI,为我们的全球社区提供无限的机会,让你能够按自己的方式成长、贡献并工作。

职责

• 分析分布式系统API,验证账户创建、数据持久化及相关记录链接涉及的服务中的正确性、一致性及故障处理能力

• 使用清理后的追踪负载,在指定环境中执行预批准的请求变体和边界验证场景

查看英文原文

Overview

We are looking for a Senior SDET to test the resilience and correctness of distributed backend systems supporting a high-stakes account provisioning and onboarding workflow. This role is focused on the execution of pre-approved, benign tracer/replay scenarios against staging endpoints, analysis of request/response behavior, and documentation of observable account/CID lifecycle and downstream state behavior. The ideal candidate has strong distributed-systems and API-testing experience and maintains disciplined technical evidence capture and traceability. This role is not intended to perform unrestricted adversarial testing. Testing activities will be limited to approved staging environments and pre-approved benign scenarios.

Project Details

• Title: Senior SDET

• Rate: $13.5/hr

• Start Date: 19 October

• Duration: 5 Weeks

• Commitment: 33 Hours per Week

• Location: India (Remote)

• Job Type: Freelance (with the possibility of full-time employment based on performance and project needs)

Why join Welo Data?

✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.

🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.

🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.

How to Apply?

Apply now by answering a few quick questions to join our database and become part of our growing community.

We can’t wait to meet you!

About Welo Data

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Responsibilities

• Analyze distributed system APIs to validate correctness, consistency, and failure handling across services involved in account creation, data persistence, and related record-linking

• Execute pre-approved request variations and boundary-validation scenarios using sanitized tracer payloads against designated staging endpoints

• Investigate system behavior under malformed, malicious, or unexpected inputs and document findings clearly

• Capture complete request/response evidence, including HTTP status codes, latency, headers, and payload bodies, subject to approved data-handling requirements

• Validate behavior of near-real-time inline checks (evaluated within milliseconds at the gateway) as distinct from longer-running background verification/risk pipelines (evaluated over minutes to hours), confirming each layer of defense behaves as expected

• Verify data persistence, referential integrity, and correct linkage of related records/relationships written by backend services during processing

• Execute controlled replay suites and compare expected versus observed API behavior

• Correlate replay results with the API schemas and network evidence produced by the Middleware SDET

• Document observable account/CID lifecycle behavior and downstream state changes for handoff

• Capture and archive test logs and evidence in a structured, retrievable format to support audits and post-incident reviews

• Collaborate with backend engineering teams to reproduce, isolate, and validate fixes for distributed-system defects

• Contribute to test strategy for backend/middleware reliability, including failure-mode and chaos-style testing

• Maintain traceability between test evidence, defects, and system requirements

• Reconcile backend observations with the frontend FSM and middleware/API evidence produced by earlier workstreams

Required Qualifications

• Strong experience of 5-8+ years in testing distributed systems and analyzing inter-service API behavior

• Hands-on experience with request payload tampering, fuzzing, or adversarial API testing techniques

• Understanding of layered defense architectures, including the distinction between synchronous/inline validation and asynchronous/background verification processes

• Familiarity with testing data persistence and relational/hierarchical integrity in backend data stores

• Demonstrated discipline in test log archival, evidence capture, and structured documentation practices

• Solid understanding of backend/middleware architecture, failure modes, and system boundaries

• Familiarity with API testing tools and scripting for building custom fuzzing/tampering test cases

• Strong analytical and investigative skills for root-causing complex, systemic defects

• Experience executing controlled API replay or staging validation is strongly preferred

• Experience correlating API responses with observable application/account lifecycle states is preferred

• Experience supporting audit, compliance, or evidence-based reporting requirements is a plus

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