• Set up, optimize, and manage the QA function within the assigned portfolio, ensuring alignment with the Mashreq QA Policy and TCOE framework. • Implement standardized testing methodologies, tools, processes, and templates across all portfolio projects. • Align QA strategy with portfolio-specific business goals, IT objectives, and regulatory requirements. • Lead the implementation of the TCOE framework, governance policies, and best practices within the portfolio. • Collaborate with: Central Process Governance Team to adopt the latest QA processes and ensure compliance. • Technical Lead Team to drive automation-first mindset, performance testing, and data strategy & Transformation Office & Change Executors to ensure visibility and alignment on QA standards and implementation. • Leverage deep domain knowledge to tailor QA practices to the unique needs of the portfolio (e.g., Digital Banking, Retail Banking). • Domain Experts support the Portfolio QA Lead by validating business-critical scenarios, identifying domain-specific risks, and ensuring coverage of key functionalities. • Ensure consistent application of QA policies, templates, and standards across all testing activities. • Collaborate with product owners, initiation leads, business stakeholders, and users to understand requirements and drive effective test planning and execution. • Monitor testing projects to ensure compliance, quality outcomes, and timely delivery. • Maximize the use of defined QA metrics and KPIs (e.g., defect trends, coverage, cycle time) to measure effectiveness and drive accountability. • Present QA performance reports to portfolio stakeholders and Head of TCOE. • Provide actionable insights and recommendations based on test results, trends, and risk indicators. • Identify improvement opportunities and contribute to continuous enhancement of QA practices within the portfolio. • Promote QA maturity within the portfolio through mentoring, training, and knowledge-sharing initiatives. • Encourage adoption of innovative tools and techniques aligned with TCOE goals. • Support onboarding and upskilling of QA team members within the portfolio. • Apply risk-based testing approaches to prioritize efforts based on business impact and technical complexity. • Ensure QA practices contribute to improved user experience and customer satisfaction.

• Design, develop, test, deploy, and maintain complex software features and services, primarily in Go, with opportunities to contribute to TypeScript-based systems where needed. • Take ownership of the full lifecycle of your work, including technical design, implementation, testing, production support, defect resolution, and iterative improvement. • Lead the delivery of well-defined projects or complex features, breaking work into clear tasks, managing technical risks, and driving execution to agreed timelines and quality standards. • Contribute to design and architecture discussions, helping improve system structure, maintainability, scalability, and operational resilience. • Participate in and lead peer reviews of code, designs, documentation, and test cases, while using modern developer tooling, including AI-assisted tools where appropriate, to improve development efficiency, code quality, and team outcomes. • Support the systems your team owns, including contributing to production support, incident response, and on-call activity where needed, while improving the team development experience and delivery practices through better tooling, test coverage, code structure, observability, continuous improvement, and support for junior engineers through mentoring and knowledge sharing.

Role Description Rockstar is recruiting for an innovative AI company building the back office for accounting firms. They combine the judgment of experienced operators with the leverage of AI agents and reliable software to automate the most complex manual workflows inside CPA firms: tax preparation, bookkeeping, document collection, cleanup, review, close, and client operations. Their platform is already deployed with accounting firms across the country, helping them serve more clients, reduce bottlenecks, and give their best people time back for higher-value work. You will work across product, design, engineering, and implementation. Some days that means: - Mapping how tax packages move through a firm. - Building a review workflow. - Designing an agent loop. - Tightening data models. - Debugging why a customer workflow failed in production. This is a product engineering role for someone who wants to build the system, not just spec it. You will turn what we learn from firms into durable product: - Interfaces - Automations - Review loops - Workflow primitives - Data models - Agent behavior that works across customers The client is vertically integrated across software, AI agents, and managed back-office operations. That makes the problems unusually concrete: - If the product is wrong, the work breaks. - If the product is right, firms can take on more clients without adding headcount. What You Will Do - Own core product workflows for tax prep, tax review, bookkeeping, client requests, and practice-management operations. - Design and build product abstractions that turn messy accounting work into repeatable, reviewable systems. - Use the client's internal agent platform to move from product context to working software quickly, then inspect the result until it is right. - Build interfaces, workflow states, data models, and agent behavior that hold up in live customer usage. - Codify repeatable patterns from customer deployments back into the main product. - Use the product yourself, inspect logs and data when needed, notice what is wrong, and push until the details are right. What You Will Do in Your First 30 Days - Learn how CPA firms move work from source documents to reviewed tax packages, books, and client follow-ups. - Shadow existing client workflows and identify places where better product behavior would remove real manual work. - Pick workflows and turn them into a concrete product plan: inputs, user-facing states, edge cases, success criteria, and verification steps. - Drive an AI-agent implementation loop from product plan to working feature. - Test the workflow yourself against real or realistic data, fix the rough edges, and help ship it into a live customer or internal operator workflow. Who We Are Looking For - You have strong programming skills and have shipped production applications, serious internal tools, or customer-facing automation. - You have high agency and can navigate ambiguity in messy customer environments where the problem is not handed to you cleanly. - You have an ownership mentality and are willing to do whatever it takes to make something work. - You have good communication skills to explain technical tradeoffs and earn trust with non-technical stakeholders. - You are comfortable using AI coding agents as your main implementation tool and holding their output to a high bar. Skills - AI Agents - React - Swift - TypeScript - Docker - PostgreSQL Bonus Points - Experience in accounting, finance, tax, audit, professional services, or another workflow-heavy enterprise vertical. - Previous founder experience or meaningful ownership at an early-stage startup. Compensation - Base Salary: $150,000–$225,000 - Equity: 0.25%–1.00% equity About the Interview - Intro conversation about your background and what you have built. - Practical product/workflow exercise using a real or realistic back-office workflow. - Founder conversation focused on taste, pace, customer empathy, and how you work with AI agents.

• Participate in knowledge transfer activities with the incumbent team for seamless onboarding. • Analyze business requirements, design technical solutions, and develop enterprise applications using Mendix. • Collaborate with Java Engineers to develop custom components and integrations. • Troubleshoot and resolve application defects and performance issues. • Work closely with Business Analysts and stakeholders during Agile ceremonies. • Mentor team members and promote development best practices.