Job Title: Senior Test Automation Engineer - P&C Insurance (AWS & Full Stack)Overview / Summary We are building a Test Engineering team within the Digital Experience organization supporting the Auto & Fire Quote & Purchase Suite. We are seeking candidates with prior StateFarm knowledge and Property & Casualty (P&C) insurance experience. The selected resource will gather requirements, build and automate test cases, execute test scripts, validate and tabulate results, and manage defect tracking across both functional and non-functional testing. The team will help advance and mature the overall testing strategy, processes, practices, and technology.
Key Responsibilities - Gather testing requirements for application features.
- Design and build functional and non-functional test cases.
- Develop and automate test scripts.
- Execute automated and manual test scripts.
- Validate and document test results.
- Track and manage defects throughout the testing lifecycle.
- Perform root cause analysis for functional and performance-related defects.
- Contribute to the advancement of testing strategy, processes, practices, and technology.
- Analyze and resolve system bottlenecks on infrastructure platforms.
- Work effectively with cross-functional teams in an onsite/offshore delivery model.
- Stay current with industry trends and testing best practices.
Required Qualifications - Prior StateFarm knowledge.
- Property & Casualty (P&C) insurance experience.
- Experience testing customer-facing applications.
- Full Stack development experience with Python, PySpark, Scala, Spark, NodeJS, AngularJS, ReactJS, and Java J2EE.
- Experience with AWS services including S3, Glue (ETL - PySpark, Python, Scala), Kinesis Streams, Kinesis Firehose, DynamoDB, Athena/SQL, IAM, Lambda, SNS, SQS, SES, API Gateway, and CloudWatch.
- Strong experience with Terraform Enterprise (TFE).
- Experience using Karate, SoapUI, Postman, JMeter, Artillery, and Gatling.
- Experience automating Infrastructure as Code.
- Experience creating GitLab CI/CD pipelines from scratch.
- AI/ML experience is a plus.
- Experience with performance monitoring tools such as Splunk, Datadog, and Dynatrace is preferred.
- Strong verbal and written communication skills.
- Ability to work independently and collaboratively within a team.
- Ability to uncover functional and performance-related defects and perform root cause analysis.
- Ability to cultivate effective working relationships and empower others.
- Ability to quickly adapt to changing environments.
- Expert-level ability to resolve highly complex problems across multiple applications.
- Working knowledge of functional and non-functional testing concepts, including performance testing and data analysis.
- Ability to quickly learn new technologies and apply them to day-to-day work.
- Comfortable working in an onsite and offshore delivery model.
#LI-AS1 #LI-Hybrid #Hiring
