Quality Engineer II

ICW Group•San Diego, CA

3d•$83,017 - $140,003•Hybrid

About The Position

The Quality Engineer II is an established, technical professional who serves as the Quality Engineering lead for their assigned delivery team. This role takes complete ownership of the test strategy, planning, and quality outcomes for the team, ensuring that quality is engineered into every stage of the software delivery lifecycle. Working independently with limited supervision, the QE II drives shift-left practices within the team, builds and maintains automated test solutions, and sets quality objectives that directly impact department results. The role requires practical depth in test engineering, the ability to solve difficult and moderately complex problems by drawing from prior experience, and the capacity to coordinate quality activities, delegate tasks, and coach junior team members.

Requirements

Bachelor’s degree in computer science, Information Systems, or related field (or equivalent experience); 3+ years in quality engineering or software testing with 2+ years in test automation.
Practical, hands-on proficiency in at least one programming language (Java, Python, JavaScript/TypeScript) with the ability to read, understand, and debug production code.
Demonstrated experience designing test strategies and owning end-to-end test planning for a product, team, or release.
Hands-on experience building and maintaining automated tests using Playwright, Selenium, Cypress, REST Assured, or Postman/Newman.
Solid understanding of API testing concepts: request/response validation, status codes, error handling, and RESTful service patterns.
Working knowledge of SQL and database concepts – ability to write queries for data validation, verify data transformations, and support ETL testing.
Experience contributing automated tests to CI/CD pipelines (Jenkins, GitHub Actions) and understanding of continuous testing principles.
Familiarity with version control (Git), branching strategies, and pull request workflows.
Understanding of the test automation pyramid and strategic allocation of coverage across unit, API, UI, and data layers.
Exposure to performance testing concepts and tools (JMeter, k6, or equivalent).
Awareness of AI-assisted testing tools and willingness to adopt AI workflows for test generation and defect analysis.
Solid understanding of Agile/Scrum practices, shift-left testing, and the software development lifecycle.
Ability to work independently on moderately complex assignments with limited supervision; strong problem-solving skills drawing from prior experience and analysis.
Good communication skills; able to influence within the team and communicate with contacts within and occasionally outside the department.
Demonstrated ability to coordinate quality tasks, delegate work, and review the output of junior team members.

Nice To Haves

Strong Insurance domain background, specifically in Claims Management and/or Insurance Billing business workflows.

Responsibilities

Own the complete test strategy and test planning for the assigned Projects – defining scope, approach, risk assessment, entry/exit criteria, and test coverage targets for each release and sprint.
Act as the QE lead within the team and drive quality discussions during grooming, sprint planning, and design reviews; set quality objectives; and ensure the team delivers against them.
Develop, execute, and maintain comprehensive test plans, test cases, and test scripts for functional, regression, integration, API, and exploratory testing.
Build, maintain, and extend automated test suites using frameworks such as Playwright for UI, Postman/Newman for API, following clean code practice.
Execute API-level testing including payload validation, error handling, and contract verification for in-house and third-party service integrations.
Contribute automated tests to CI/CD pipelines (Jenkins, GitHub Actions), supporting continuous testing across regression, smoke, and feature validation stages.
Validate data integrity across integrated systems including ETL pipelines, data transformations, and end-to-end data reconciliation.
Identify, record, and thoroughly document defects; perform root cause analysis by reviewing logs, stack traces, and database states to diagnose systemic issues.
Participate in code reviews to provide quality-focused feedback on testability, error handling, and edge-case coverage.
Recommend enhancements to testing processes, tools, and standards to improve efficiency and effectiveness within the POD and broader team.
Own test data management, mock services, and QA environment configurations for reliable, repeatable test execution.
Leverage AI tools to assist in test case generation, coverage analysis, and failure triage.
Track and report quality metrics including defect density, escape rate, test coverage, and automation progress. Uses data to influence quality decisions.
Coordinate quality activities with distributed teams and offshore/nearshore vendor partners on test assignments, status calls, and triage.
Coach, guide, and review the work of junior team members; provide training on quality engineering practices and tools.