Top Tech Jobs & Startup Jobs

Leads performance testing strategy and engineering for applications, including load, stress, scalability, monitoring, and capacity testing. Develops testing frameworks, integrates performance testing into CI/CD pipelines, analyzes application and infrastructure metrics, troubleshoots complex issues, and delivers performance reports. Manages and mentors performance testing teams while collaborating with development, QA, operations, and architecture stakeholders across microservices and AI-enabled environments.

Quality Engineer responsible for ensuring software quality through test planning, automated testing, functional and non-functional test execution, regression testing, cross-browser testing, and web service validation. The role collaborates with engineering, product, and quality teams in an agile environment, analyzes results, reports defects, and escalates testing risks and dependencies.

Leads performance testing strategy and automation across QA, staging, pre-production, and production environments. Designs workloads, benchmarks, monitoring dashboards, test plans, and analysis reports; investigates complex application and infrastructure performance issues; and integrates testing into CI/CD pipelines. Mentors junior QA engineers and collaborates with development and operations teams on reliability, scalability, and continuous improvement.

Leads performance engineering and testing strategies for scalable applications, including AI and generative AI systems. Conducts load, stress, capacity, and performance testing; builds testing frameworks; analyzes application, database, operating system, and network metrics; troubleshoots bottlenecks; and integrates testing into CI/CD pipelines. Mentors QA engineers, coordinates cross-functional initiatives, creates performance reports, and communicates recommendations to technical and non-technical stakeholders.

Executes data quality and ETL testing for a data platform, validating pipelines, transformations, data accuracy, performance, and Power BI reports. Monitors AWS data workflows, develops Python automation scripts, documents testing outcomes, and collaborates with engineers, analysts, and stakeholders to resolve data quality issues.

Execute data quality and testing initiatives for a data platform, including ETL testing, data validation, load and performance testing, automated regression testing, AWS pipeline monitoring, and Power BI report validation. Develop test cases, verify ingestion and transformation logic, investigate data anomalies, document results, and collaborate with engineers, analysts, and stakeholders to maintain data integrity, availability, and reliability.

Provides embedded FP&A support for Engineering and R&D through workforce planning, forecasting, financial modeling, variance analysis, capitalization tracking, cost structure analysis, vendor and contractor spend review, and productivity reporting. Builds dashboards and recurring analysis, supports cloud and tooling cost evaluation, and partners with Engineering, Accounting, HR, Procurement, and Corporate FP&A to improve investment decisions, reporting accuracy, and planning processes.

Leads full-stack architecture, hands-on development, modernization, scalability, security, and technical strategy. Stabilizes underperforming products, reduces technical debt, optimizes databases and APIs, guides microservices migrations, and improves testing and deployments. Mentors senior engineers, partners with product and executive leadership, and drives secure adoption of AI-assisted development tools across engineering teams.

Designs, develops, tests, and maintains integrations between healthcare technology products and external systems. Leads database design, ETL pipelines, SQL optimization, data mapping, troubleshooting, documentation, and customer technical support. Requires expertise in healthcare data formats, backend programming, cloud services, and advanced SQL. Provides mentorship and technical leadership to integration engineers while collaborating with customers, partners, and internal teams.

Leads quality engineering initiatives and manages distributed quality teams. Develops and executes regression, UI, API automation, load, stress, and endurance testing strategies. Provides technical direction, analyzes test results, reports defects, manages risks and dependencies, aligns global stakeholders, and uses quality metrics to improve product quality and release execution.