27 days ago
San Diego, CA, USASenior
Base Salary
$95k - $161k/yr
Responsibilities
- Define and implement quality strategies for cloud-native AI and ML platforms.
- Develop comprehensive test strategies, plans, cases, scripts, automated regression suites, test harnesses, and testing libraries.
- Validate data, features, models, ML pipelines, inference, integrations, APIs, and ETL/ELT transformations.
- Test AWS resources and infrastructure as code provisioned through Terraform or CloudFormation.
- Establish automated quality gates within delivery pipelines and define logs, metrics, traces, and other quality signals.
- Lead validation of performance, scalability, reliability, resiliency, security, load, and functional requirements.
- Track defects and quality metrics, perform audits and root-cause analysis, and recommend process improvements.
- Lead quality engineering efforts for large initiatives and coordinate with internal teams and external vendor partners.
- Provide quality-process training, mentor less experienced team members, and advise technical and business stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience.
- Minimum five years of IT and/or relevant business experience, including at least four years of related experience.
- Strong SQL and database-schema experience, including data querying and validation.
- Hands-on experience building automation frameworks and executing automated testing.
- Experience developing and reviewing test plans, test cases, and test scripts across multiple testing methodologies.
- Experience testing ML frameworks and tools such as SageMaker, MLflow, or SnowflakeML.
- Experience validating data platforms, ETL/ELT pipelines, data warehouses, AI/ML pipelines, models, integrations, and APIs.
- Experience implementing automated testing in delivery pipelines and working in DevOps-oriented environments.
- Experience testing cloud platforms, AWS resource provisioning, infrastructure as code, Docker, and Kubernetes.
- Ability to analyze technical documentation, requirements, architectures, database schemas, and system risks.
- Experience mentoring junior quality engineering team members and working with geographically distributed teams.
- CSTE, ISTQB, CP-SAT Selenium Automation Testing, or API certification is preferred; insurance-industry knowledge is a plus.
Benefits
- Hybrid office-based work arrangement.
- Medical, dental, and vision plans, plus a 401(k) retirement plan with company match.
- Bonus potential, paid time off, and paid holidays.
- Professional learning and development support.
- No employment sponsorship is offered for this opportunity.
