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# Sr SDET Data & Platform Quality

- **Company:** Select Minds LLC
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Computing Platforms, Automation of Tests, Cloud Database, Continuous Integration, Data Architecture, Data Validation, Data Infrastructure, Extract Transform Load (ETL), Software Debugging, Distributed Data Store, Distributed Systems, Protocol Buffers, JSON, Python (Programming Language), Cloud Services, Selenium, Data Streaming, Strategies of Testing, Data Logging, Backend, Event Driven Architecture, Avro, AWS Data Analytics, Real Time Data, Apache Kafka, Data Management, SDET
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Sr-SDET-Data-Platform-Quality-Select-Minds-LLC-476546584673286/

## About the Role

Required Experience (Non-Negotiable) * Strong test automation engineering experience using Python * Hands-on Kafka testing experience (real production systems, not theoretical knowledge) * Proven experience testing distributed and event-driven systems * Solid understanding of data validation concepts, including: * Schemas and contracts * Transformations and enrichment * Data consistency, completeness, and accuracy * Experience working in AWS-based data platforms * Ability to debug and troubleshoot issues across multiple services, not just log defects * Engineering mindset with ownership mentality
Nice to Have * Experience with schema registries (Avro / JSON / Protobuf) * Knowledge of streaming vs batch data architectures * Familiarity with observability, logging, and monitoring in distributed systems * Experience working in high-volume, near-real-time data environments
Flexible work from home options available.

## Description

Role Overview We are seeking a Senior SDET to own automation quality for large-scale, data-heavy, event-driven platforms. This role focuses on backend, Kafka, and AWS data platform validation using Python-based automation frameworks.
This is a hands-on engineering role, not a traditional QA position.

 * No manual testing * No UI / Selenium-only testing * No basic ETL script validation
You will design and own automation frameworks that validate Kafka-driven architectures, backend services, and cloud-native data pipelines, while partnering closely with data and platform engineers.
Key Responsibilities Automation & Framework Ownership * Design, build, and maintain Python-based test automation frameworks, not just individual test cases * Define reusable test libraries for validating data platforms and distributed systems * Drive automation standards, patterns, and best practices across teams
Kafka & Event-Driven Systems Testing * Validate Kafka-based event streams, including: * Topic-level data validation * Producer and consumer behavior * Message schemas, payload integrity, ordering, and replay scenarios * Failure handling, retries, and dead-letter scenarios * Test asynchronous workflows and event propagation across services
Data Platform & Backend Validation * Validate end-to-end data flows across distributed services and pipelines * Test backend APIs, service integrations, and asynchronous processing layers * Perform schema validation, transformation checks, data consistency, and completeness validation
AWS & Cloud Data Testing * Test cloud-native data platforms built on AWS services such as: * S3, Glue, Redshift, Lambda (or similar services) * Validate ingestion, processing, storage, and downstream consumption of data * Debug data and automation failures across multiple cloud services
CI/CD & Quality Gates * Embed automation into CI/CD pipelines * Enforce quality gates and fail pipelines on critical data or platform issues * Provide actionable feedback to engineering teams based on automation results
Collaboration & Strategy * Work closely with data engineers, platform engineers, and architects * Define test strategies for event-driven and distributed data systems * Proactively identify quality risks and gaps in platform design


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