Job Title: Senior Test Automation Engineer - P&C Insurance (AWS & Full Stack)

SRI Tech Solutions Inc.
United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Data Analysis Automation of Tests Extract Transform Load (ETL) Amazon DynamoDB Java Platform Enterprise Edition (J2EE) Identity and Access Management Apache JMeter Python (Programming Language)
+25 more
Node.Js Scala (Programming Language) Amazon Simple Notification Service (SNS) SoapUI SQL Databases Strategies of Testing Datadog Performance Testing Postman ReactJS Apache Spark Test Scripts Gatling Build Management AngularJS Pyspark Infrastructure Automation Frameworks Performance Monitor Functional Programming Cloudwatch Api Gateway Amazon Simple Queue Service (SQS) Terraform Splunk Dynatrace

Job description

We are building a Test Engineering team within the Digital Experience organization supporting the Auto & Fire Quote & Purchase Suite. We are seeking candidates with 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., * 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.

Requirements

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:38 min

Establishing comprehensive monitoring and log management

Michael Eder +1 · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · World Congress 2026 Europe

3:10 min

Correlating dispersed logs using structured request tracing

Michael Eder +1 · LIVE

3:20 min

Certifying safety-critical automotive software and deploying progressive testing strategies

David Romić · World Congress 2023

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

Videos

See all

Related articles

See all