Senior Software Development Test Engineer

About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology big data machine learning and AI to seamlessly bring together OEMs retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3000 people across North America Asia and Europe.

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy release quality gates and quality engineering practices working closely with backend engineers (Java Python) product managers and platform architects. This role focuses heavily on validating hexagonal architecture adapters Kafka event pipelines multi-database correctness and AI scoring model outputs.

Key Responsibilities

Design build and scale automated test frameworks for Java microservices built on hexagonal architecture with distinct test strategies for the domain core adapter layers (MongoDB PostgreSQL Cosmos DB Kafka Elasticsearch Redis/Aerospike) and external integrations.

Develop and maintain comprehensive test suites: functional integration (Testcontainers) regression contract and end-to-end across all adapter implementations.

Validate Kafka event pipelines: consumer behavior event ordering idempotency poison pill handling and dead-letter queue processing.

Validate MongoDB document integrity PostgreSQL relational consistency Cosmos DB partition correctness and Elasticsearch index accuracy across service boundaries.

Design and execute golden dataset test scenarios seeding realistic dealer and customer data to validate scoring accuracy suppression correctness and attribution logic.

Validate Python-based AI/ML service outputs: scoring model results recommendation correctness and LLM response safety gates.

Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

Drive testability improvements by influencing API design logging observability and error handling.

Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

Define and monitor quality metrics: test coverage defect leakage flakiness MTTR and automation ROI.

Lead root cause analysis for production issues and drive preventive measures.

Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

6 years of hands-on experience in QA Engineering Test Automation or SDET roles.

Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

Deep experience testing distributed microservices REST APIs and Kafka-based architectures.

Experience with Testcontainers for integration testing across MongoDB PostgreSQL Kafka and Elasticsearch locally.

Strong understanding of Kafka testing: consumer behavior event ordering guarantees and idempotency validation.

Experience with MongoDB and PostgreSQL testing patterns: data integrity schema migration validation multi-tenant isolation verification.

Familiarity with Elasticsearch test strategies: index correctness relevance and query result validation.

Experience with CI/CD pipeline integration (GitHub Actions Jenkins or equivalent).

Familiarity with containerized environments (Docker Kubernetes).

Excellent problem-solving communication and collaboration skills.

Preferred Skills

Experience validating AI/ML model outputs and scoring pipeline correctness.

Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

Experience with performance load and chaos testing (JMeter Gatling k6) against Elasticsearch and Kafka.

Background in DevOps or Site Reliability Engineering practices.

Perks & Benefits

Competitive compensation and generous stock options.

Medical insurance coverage.

Work with some of the brightest minds from Silicon Valleys most dominant and successful companies.

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability victim of violence or having a family member who is a victim of violence the intersectionality of two or more protected categories or other applicable legally protected characteristics.

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