Automation and performance Team Leader

Description At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate. About the role: We are looking for a QA Automation & Performance Team Lead to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection. If you combine strong technical leadership and hands-on QA engineering capabilities with deep expertise in automation frameworks and performance testing at scale, and if you are motivated by bridging the gap between high-level quality strategy and hands-on technical execution, taking responsibility for the growth of your team members, the stability of our AI-driven platforms, and the efficiency of our delivery pipelines, ThetaRay could be your next challenge. Key Responsibilities Leadership & Mentorship: Lead and coach the Automation and Performance team. Set clear goals, conduct code reviews, and foster a culture of technical excellence. Strategic Planning: Define and implement E2E testing policies, standards, and procedures for solutions deployed to global Tier-1 financial institutions. Technical Architecture: Design and maintain scalable automation frameworks and performance testing suites using Python. Stakeholder Management: Partner with R&D, Product, and Delivery stakeholders to align quality initiatives with business roadmaps and system development life cycles. CI/CD Ownership: Build and optimize test pipelines within CI/CD environments to ensure fast, stable, and reliable deployments. Performance & Scale: Oversee performance testing strategies to ensure the platform handles massive Big Data workloads without degradation. Quality Governance: Act as the final authority on system/acceptance testing in NFT, providing risk assessments and "Go/No-Go" recommendations for releases. Requirements Experience: 10+ years in QA Automation and performance testing, with at least 7 years in Team Lead positions. Automation Mastery: 5+ years of hands-on experience developing automation infrastructures from scratch using Python. Backend Expertise: 5+ years of deep experience in Backend QA and API testing. Technical Stack: Strong proficiency in Linux shell and CI/CD utilities. Experience with Kubernetes, Microservices, and Cloud technologies (AWS/Azure/GCP). AI Focus: Experience with AI-based testing, specifically focusing on evaluation and observability (Significant Advantage). Education: B.Sc. in Computer Science or a related technical field. Languages: Proficiency in English. Communication: Proven ability to communicate complex technical risks to non-technical stakeholders. #LI-SB2