Senior Quality Assurance Engineer Backend & AI-Driven Testing

Senior Quality Assurance Engineer – Backend & AI-Driven Testing.

Locals - White Plains NY - In Person Interview required

As a Senior Quality Assurance Engineer, you will be responsible for quality engineering efforts across backend services, APIs, data pipelines, and enterprise batch processing. You will ensure the integrity, reliability, and scalability of distributed systems through comprehensive API validation, batch testing, log analysis, database validation, and automation. You will play a key role in adopting an AI-Driven Software Development Lifecycle (AI-DLC), leveraging modern AI tools to improve test design, execution, defect analysis, and overall engineering productivity.

What You'll Do

·        Own the end-to-end quality strategy for backend services, APIs, integrations, and enterprise batch processes.

·        Design and execute comprehensive API testing using REST, JSON, OpenAPI/Swagger, Postman, and automated frameworks.

·        Validate asynchronous workflows, scheduled jobs, ETL processes, message queues, and batch processing.

·        Perform detailed log validation using application, middleware, API gateway, cloud, and infrastructure logs to isolate root causes.

·        Validate database updates, stored procedures, file processing, and data integrity using SQL.

·        Develop automated regression suites focused on backend services and APIs.

·        Collaborate with Product, Engineering, DevOps, and Architecture teams to define quality gates within CI/CD pipelines.

·        Review application telemetry, monitoring dashboards, and production diagnostics to proactively identify quality risks.

·        Leverage AI-assisted tools to generate test scenarios, automate repetitive activities, analyze defects, summarize logs, and improve overall testing efficiency.

·        Continuously evaluate emerging AI testing capabilities and recommend practical adoption opportunities.

·        Contribute to AI-DLC practices including AI-assisted requirements analysis, test generation, risk assessment, and release validation.

·        Produce clear test evidence, execution reports, and release recommendations.

What You'll Bring

·        10 years of Quality Assurance experience with significant focus on backend enterprise systems.

·        Strong experience testing REST APIs, microservices, event-driven architectures, and distributed systems.

·        Hands-on experience validating batch processing, scheduled jobs, ETL workflows, and file-based integrations.

·        Strong SQL skills for backend validation and data reconciliation.

·        Experience validating application, server, cloud, and middleware logs.

·        Experience with Postman, Swagger/OpenAPI, Azure DevOps, and API automation frameworks.

·        Working knowledge of CI/CD pipelines and modern DevOps practices.

·        Excellent analytical and troubleshooting skills.

·        Strong written and verbal communication.

AI-Driven Engineering Expectations

·        Demonstrated experience using AI tools (such as ChatGPT, GitHub Copilot, Claude, Kiro, Cursor, or equivalent) to improve testing productivity.

·        Ability to critically validate AI-generated outputs rather than accepting them at face value.

·        Willingness to continuously learn and adapt as AI capabilities evolve.

·        Comfort operating within an AI-Driven Software Development Lifecycle (AI-DLC).

·        Ability to identify opportunities where AI accelerates quality engineering while maintaining governance and traceability.

Nice to Have

·        Experience with Azure, AWS, or Google Cloud platforms.

·        Knowledge of observability platforms such as Splunk, Datadog, Dynatrace, ELK, or CloudWatch.

·        Experience with performance testing.

·        Exposure to AI model validation and prompt testing.