Job
Description
Role Overview: At Toyota Connected, you will have the opportunity to be a part of a team that is dedicated to transforming the automotive industry and positively impacting others on a global scale. In a collaborative and fast-paced environment, we focus on continual improvement and deliver exceptional value through connected products and services that wow and delight our customers. Key Responsibilities: - Design, develop, and maintain automation test frameworks and scripts specifically for API-level Testing - Validate and verify complex Machine Learning applications, ensuring models and data pipelines perform accurately in the production environment - Conduct extensive testing on large-scale data engineering pipelines, including ETL processes, data warehousing solutions, and big data processing framework - Identify, document, and track software defects, proactively working with developers and product teams for resolution - Execute load and performance testing on APIs and data pipelines to ensure scalability and efficiency - Collaborate closely with data engineers, ML engineers, software developers, and product teams to define comprehensive test strategies - Participate actively in agile ceremonies, contributing to sprint planning, reviews, and retrospectives Qualifications Required: - 3+ years of hands-on experience in automation testing, especially focused on API testing using tools such as Postman, REST Assured, or similar - Experience working with automation frameworks like Cucumber/Karate for API automation and selenium/cypress for web automation - Demonstrable experience testing Machine Learning applications, including model validation, accuracy assessments, and production-readiness - Proven expertise in testing large-scale data engineering pipelines involving technologies such as Apache Spark, Hadoop, AWS EMR, Kafka, or similar - Strong scripting/programming skills in Python, Java, or JavaScript - Familiarity with containerization and CI/CD tools (Docker, Kubernetes, Jenkins, GitLab CI/CD) - Excellent analytical and problem-solving abilities, with strong attention to detail - Effective communication skills and the ability to clearly document test cases, defects, and technical findings Additional Details: - Experience working with Performance testing - Experience working with security testing - Experience in the automotive domain **Omitting the section "Any additional details of the company if present in JD" as it is not provided in the job description. Role Overview: At Toyota Connected, you will have the opportunity to be a part of a team that is dedicated to transforming the automotive industry and positively impacting others on a global scale. In a collaborative and fast-paced environment, we focus on continual improvement and deliver exceptional value through connected products and services that wow and delight our customers. Key Responsibilities: - Design, develop, and maintain automation test frameworks and scripts specifically for API-level Testing - Validate and verify complex Machine Learning applications, ensuring models and data pipelines perform accurately in the production environment - Conduct extensive testing on large-scale data engineering pipelines, including ETL processes, data warehousing solutions, and big data processing framework - Identify, document, and track software defects, proactively working with developers and product teams for resolution - Execute load and performance testing on APIs and data pipelines to ensure scalability and efficiency - Collaborate closely with data engineers, ML engineers, software developers, and product teams to define comprehensive test strategies - Participate actively in agile ceremonies, contributing to sprint planning, reviews, and retrospectives Qualifications Required: - 3+ years of hands-on experience in automation testing, especially focused on API testing using tools such as Postman, REST Assured, or similar - Experience working with automation frameworks like Cucumber/Karate for API automation and selenium/cypress for web automation - Demonstrable experience testing Machine Learning applications, including model validation, accuracy assessments, and production-readiness - Proven expertise in testing large-scale data engineering pipelines involving technologies such as Apache Spark, Hadoop, AWS EMR, Kafka, or similar - Strong scripting/programming skills in Python, Java, or JavaScript - Familiarity with containerization and CI/CD tools (Docker, Kubernetes, Jenkins, GitLab CI/CD) - Excellent analytical and problem-solving abilities, with strong attention to detail - Effective communication skills and the ability to clearly document test cases, defects, and technical findings Additional Details: - Experience working with Performance testing - Experience working with security testing - Experience in the automotive domain **Omitting the section "Any additional details of the company if present in JD" as it is not provided in the job
