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.
Requirements
• 11+ years of performance engineering experience, with at least 4 years in banking or financial services.
• Expert-level proficiency in JMeter and/or Gatling; LoadRunner experience is a strong plus.
• Deep understanding of performance metrics: response time percentiles, throughput, error rates, and resource utilisation.
• Experience with banking transaction modelling (payment processing, core banking, digital channels).
• Knowledge of AppDynamics, HP BSM, or equivalent APM tools for observability correlation.
• Experience validating performance under peak banking loads (Ramadan, salary days, promotional events).
• Strong report writing and presentation skills for executive-level performance reviews.
• Preferred Certifications: ISTQB Advanced Performance Tester, Certified JMeter Expert, LoadRunner Certified.
• Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.
• Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.
• Collaborate with world-class QA professionals across onsite and offsite delivery models.
• Access to continuous upskilling — certifications, AI/ML tooling, and emerging QA methodologies.
• Competitive compensation with performance-linked incentives and career progression pathways.
• A culture that values technical excellence, ownership, and innovation without bureaucracy.
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.