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Lead SDET – (India)
AI Summary
Lead SDET providing end-to-end technical governance across frontend, middleware, and backend QA layers for a multi-layered onboarding platform, owning API contract testing architecture and entity-relationship data modeling for test traceability.
About this role
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Provide technical governance across frontend, middleware, and backend testing layers.
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Establish and enforce QA delivery standards, evidence requirements, review processes, and quality gates.
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Review frontend constraint dictionaries and FSM/state-model outputs for completeness and consistency.
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Review API schema reconstructions, network evidence, and tracer replay outputs for technical quality and traceability.
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Coordinate with QA Analysts, SDETs, and Test Operations Associates to align technical execution with delivery timelines.
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Review test architecture decisions, validation approaches, and coverage strategies.
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Coordinate dependency resolution, evidence rework, and cross-layer reconciliation throughout the engagement.
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Act as the escalation point for cross-layer technical discrepancies and evidence-quality issues.
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Compile and quality-check the raw technical evidence dossiers produced by the workstreams.
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Identify evidence gaps, inconsistencies, or areas requiring rework before handoff to client stakeholders.
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Report on delivery health, technical risks, evidence quality, dependencies, and unresolved gaps.
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Prepare the technical evidence package for handoff to the client team responsible for final modelling and logic-gap assessment.
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Support technical readout preparation by ensuring that findings are traceable to empirical evidence.
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)
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Proven experience of 8+ years in a QA leadership role spanning multiple testing layers (frontend, middleware, backend)
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Demonstrated expertise in API contract testing architecture and governance
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Practical experience with knowledge graph or entity-relationship data modeling and its application to test/data traceability
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Strong understanding of layered system architectures and the importance of independently verifying quality at each layer rather than relying on upstream assumptions
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Strong track record of technical delivery governance, including setting standards and quality gates
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Excellent cross-functional leadership and stakeholder communication skills
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Deep technical grounding across QA disciplines (manual, automation, systems-level testing) to credibly guide teams at every layer
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Experience mentoring or managing SDETs and QA Analysts
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Experience leading complex multi-week technical QA, API validation, or security-assessment engagements is strongly preferred.
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Experience establishing evidence/traceability models across complex technical workflows is preferred.
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Familiarity with knowledge graphs, entity-relationship models, or structured technical dependency/evidence modeling is preferred; deep knowledge-graph engineering expertise is not required.
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Ability to synthesize technical evidence into concise stakeholder-ready findings and handoff materials.
Skills
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