Own end-to-end QA strategy for database connectors and integrations, including JDBC, Python drivers, Single Sign On integrations, and third-party tools including but not limited to Metabase, Tableau, and DBeaver.
Design and execute functional, performance, stress, and soak tests for client-server I/O paths, network behavior, and large result-set handling.
Validate query execution correctness and performance when exercised through external clients versus native SQL execution.
Analyze connector-level performance regressions, including result fetching, pagination, batching, serialization/deserialization, compression, and network utilization.
Develop and maintain automated test frameworks (primarily in Java and Python) for connector validation, regression coverage, and performance baselining.
Design and execute benchmarks to evaluate the performance impact of different indexing strategies, including their interaction with query execution, connector-driven access patterns, and I/O behavior across representative workloads.
Debug complex failures involving client drivers, networking, serialization formats, protocol mismatches, and server-side execution paths.
Partner closely with Software Engineers across Connectors, Query Processing, I/O, and Storage teams to isolate root causes and validate fixes.
Review execution plans, logs, metrics, and traces to assess correctness and performance impact.
Act as a quality gate for connector and I/O-related features prior to release, including customer-driven fixes and escalations.

Requirements

4-6+ years of experience in software QA with a strong systems focus.
Experience testing JDBC / Python / database drivers or client SDKs.
Deep experience testing database systems, drivers, APIs, or distributed systems.
Strong SQL skills and understanding of query execution, result materialization, and client-server interaction models.
Experience validating I/O performance-sensitive systems, including benchmarking, regression detection, and workload comparison.
Proficiency in Java and Python for test automation, data validation, and performance tooling.
Comfortable working in Linux environments, reading logs, using command-line tools, and debugging failures across system boundaries.
Strong analytical skills with the ability to own ambiguous, cross-component problems and drive them to resolution.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

QA strategyJDBCPythonfunctional testingperformance testingstress testingautomated test frameworksSQLbenchmarkingdata validation

Soft Skills

analytical skillsproblem-solvingcollaborationcommunication