Lead Software Development Engineer in Test
概述 我们正在寻找一个领导的 SDET (软件开发工程师在测试中)为提供所有 QA 层面的端到端技术治理前端,中间件和后端复杂多层次安装平台。这个角色拥有 API 合同测试架构和复杂实体关系数据建模 (例如等级/父母-孩子风格结构),同时确保在每个下游层上独立验证质量假设 (如客户端验证). 理想候选人结合了强大的技术领导力,以及在跨职业团队中设定和执行交付管理的能力。主要责任:· 在前端,中间件和后端测试层提供技术治理。· 建立并执行 QA 交付标准,证据要求,审查流程和质量门户。· 对前端限制词典和 FSM/国家模型输出进行完整性和一致性的审查。·对方案 API 重建,网络证据和追踪器重播输出进行评估。·与 QA 分析师,SDET 和测试运营合作伙伴协调技术执行与交付时间表进行一致。·审查测试架构决策,验证方法和覆盖战略。·在整个任务中协调依赖性解决方案,证据重新处理和跨层调整。·作为跨层技术差异和证据质量问题升级点。·编译和检查工作流产生的原材料技术证据档案的质量。·识别需要向客户利益相关者提交之前重新处理的证据缺陷,不一致性或领域。· 报告交付健康,技术风险,证据质量,依赖性和未解决的缺口。· 为负责最终建模和逻辑差距评估的客户团队提供技术证据包装。· 通过确保发现可以追溯到实验性的证据来支持技术阅读准备。项目详细标题:领导 SDET 率:17/小时开始日期:2010月19日持续时间:4个月承诺:每周22小时地点:印度 (远程)工作类型:合同式 (根据业绩和项目的需求可延长全职位):资格:· 经验证明,在多层测试的 QA 领导职位中拥有8年以上经验 (前面)
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Overview
We are seeking a Lead SDET (Software Development Engineer in Test ) to provide end-to-end technical governance across all QA layers — frontend, middleware, and backend — for a complex, multi-layered onboarding platform. This role owns the architecture of API contract testing and the data modeling of complex entity relationships (e.g., hierarchical/parent-child style structures), while ensuring that quality assumptions made at one layer (such as client-side validation) are independently verified at every downstream layer rather than trusted at face value. The ideal candidate combines strong technical leadership with the ability to set and enforce delivery governance across cross-functional teams.
MAIN RESPONSIBILITIES:
· Provide technical governance across frontend, middleware, and backend testing layers.
· Establish and enforce QA delivery standards, evidence requirements, review processes, and quality gates.
· Review frontend constraint dictionaries and FSM/state-model outputs for completeness and consistency.
· Review API schema reconstructions, network evidence, and tracer replay outputs for technical quality and traceability.
· Coordinate with QA Analysts, SDETs, and Test Operations Associates to align technical execution with delivery timelines.
· Review test architecture decisions, validation approaches, and coverage strategies.
· Coordinate dependency resolution, evidence rework, and cross-layer reconciliation throughout the engagement.
· Act as the escalation point for cross-layer technical discrepancies and evidence-quality issues.
· Compile and quality-check the raw technical evidence dossiers produced by the workstreams.
· Identify evidence gaps, inconsistencies, or areas requiring rework before handoff to client stakeholders.
· Report on delivery health, technical risks, evidence quality, dependencies, and unresolved gaps.
· Prepare the technical evidence package for handoff to the client team responsible for final modelling and logic-gap assessment.
· Support technical readout preparation by ensuring that findings are traceable to empirical evidence.
Project Details
Title: Lead SDET Rate: $17/hr
Start Date: 19th October
Duration: 4 Months
Commitment: 22 Hours per Week
Location: India (Remote)
Job Type: Contractual (with the possibility of a Full-time employment extension based on performance and project needs)
QUALIFICATIONS:
· Proven experience of 8+ years in a QA leadership role spanning multiple testing layers (frontend, middleware, backend)
· Demonstrated expertise in API contract testing architecture and governance
· Practical experience with knowledge graph or entity-relationship data modeling and its application to test/data traceability
· Strong understanding of layered system architectures and the importance of independently verifying quality at each layer rather than relying on upstream assumptions
· Strong track record of technical delivery governance, including setting standards and quality gates
· Excellent cross-functional leadership and stakeholder communication skills
· Deep technical grounding across QA disciplines (manual, automation, systems-level testing) to credibly guide teams at every layer
· Experience mentoring or managing SDETs and QA Analysts
· Experience leading complex multi-week technical QA, API validation, or security-assessment engagements is strongly preferred.
· Experience establishing evidence/traceability models across complex technical workflows is preferred.
· Familiarity with knowledge graphs, entity-relationship models, or structured technical dependency/evidence modeling is preferred; deep knowledge-graph engineering expertise is not required.
· Ability to synthesize technical evidence into concise stakeholder-ready findings and handoff materials.
Originally posted on Himalayas