Performance Testing Lead - JMeter | Gatling | Banking

CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.

With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge — ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.

For the Client's Test Management Enablement & Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing — all governed under a structured 20-week program delivery framework.

The Performance Testing Lead owns the performance testing strategy, SLA definition (95th percentile <2s, 1000+ TPS), capacity planning with the Client's infrastructure, execution governance, and final performance validation report sign-off. This role sets the performance quality bar for the entire the Client's programme.

•        Define the performance testing strategy including load profiles, SLAs, and acceptance thresholds for the Client's applications.

•        Set target SLAs: 95th percentile response time <2s for critical transactions, throughput ≥1000 TPS for core banking APIs.

•        Plan and execute Load, Stress, Spike, Endurance (8–24h), and Scalability test types.

•        Coordinate with the Client's infrastructure teams on capacity planning, test window allocation, and resource provisioning.

•        Govern the performance test execution cycle: Component → Integration → System → Production Validation.

•        Analyse results, identify bottlenecks, and provide actionable tuning recommendations.

•        Produce the final performance validation report with benchmarks, findings, and remediation guidance.

Integrate API-level performance scripts into CI pipelines as automated gates.