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James L.
QA Engineer

Jira
Bio

Possessing 13 years of experience, the professional holds a strong foundation in agile methodologies, having served in roles such as Agile Master, Test Manager, and Test Automation Engineer. The work history spans from startups to large enterprises, demonstrating effective leadership, valuable deliverables, and a commitment to the continuous improvement of development processes.

  • Agile Master
    3/1/2022 - 6/1/2023

    Served as an Agile Master, taking an active role in strategic SQUADs focused on Payment Methods, Checkout, Product Catalog, and Sales Reconciliation. Emphasized the dissemination of an agile culture through conducting training sessions, facilitating agile ceremonies, and participating in the continuous evolution of agile processes. Played a crucial role in implementing the SCRUM framework and incorporating quarterly and annual OKRs, KANBAN, and LEAN practices, including Inception and Warmups. Contributed to adopting Management 3.0 principles, ensuring the definition and monitoring of metrics and OKRs, and effectively managing tasks using ALM tools like Azure DevOps.

    Key accomplishments included significant expansion of payment methods and enhancements in navigation and user experience, resulting in a 15% increase in the average value of sales and the number of sales. Improved processes to work efficiently with quality metrics in Azure DevOps and implemented monitoring solutions. In the Product Catalog segment, led the development of UI and UX improvements, facilitating easier product selection and search, and enhanced product suggestion and search integrations with partners. Successfully executed the first integration with the partner IFood, laying the groundwork for reconciliations with new partners and achieving transparent and consistent sales reporting. Guided the SQUAD through the adoption of Dual-Track Agile, further improving work processes.

  • Agile Master
    8/1/2021 - 2/1/2022

    As an Agile Master, key accomplishments included contributions to SQUADs focused on Risk Management, Data Science, and Truck Driver Experience within a major tech-driven logistics organization. Leveraged agility principles to aid in company expansion, ensuring the professional evolution aligned with increased hiring during the structuring phase.

    Technical expertise was fortified by successfully implementing innovative processes, tools, and concepts. In Risk Management, facilitated the integration of new suppliers for essential databases, significantly reducing costs while ensuring quality data acquisition. Within the Data Science domain, utilized the SCRUM framework to deliver BI solutions for products in the company's application, achieving notable initial deliverables. This role required proficiency in agile methodologies and strong collaboration skills to drive continuous improvement and operational efficiency.

  • Agile Master
    7/1/2019 - 8/1/2021

    As Agile Master for various company products, including the Tilix app (PF account management), Tilix Work (PJ account management), Chrono (support and service system), and Pagbank (bill payment feature via email) within a SuperApp ecosystem, facilitated continuous communication and collaboration between the Product Owner, Development Team, and other stakeholders. Supported the definition and collection of metrics, skill matrices, and the continuous evolution of teams and products. Involvement spanned the life cycle of several products, from initial design to MVP delivery and maintenance, utilizing techniques such as Lean Inception, XP, Post Mortem Analysis, epic story refinement/estimation, and proactive monitoring and alerts. Focused on removing technical and business impediments to facilitate constant project progress.

    Quality assurance was prioritized through preventive coding practices, including preliminary check-ups/tests, regression testing for APIs, and thorough assessments of load, stress, and performance. Maintained a proactive stance in identifying and resolving potential issues before they affected product performance. Achieved notable results such as developing a billing engine that processes payment slips and uses machine learning to identify patterns, which significantly increased new bill payments through the APP. Also instituted an automatic debit feature that boosted company billing through revenue from payment fees and pivoted an internal support product, Chrono, into a viable organizational solution.

  • Computer Science at Federal University of Goiás
    2007 - 2011

  • SFPC at Certiprof
    5/1/2020

  • CTAL - TM at BSTQB
    6/1/2019

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