Tech Lead de Checkout — Frente de Eletrônicos
New
BrazilFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- React NativeSoftware EngineeringDistributed Systems
Requirements
- Degree in Computer Science, Engineering, or related field.
- Strong experience in software engineering and technical leadership roles.
- Experience with e-commerce systems, especially checkout, payments, antifraud, or conversion-focused flows (preferred).
- Solid knowledge of React Native, SAP Commerce, and BFF architectures.
- Experience working in highly integrated environments with multiple systems and high criticality.
- Strong understanding of system design, scalable architectures, and distributed systems.
- Ability to mentor teams, guide technical decisions, and promote engineering best practices.
- Strong communication skills to interact with technical and non-technical stakeholders.
- Experience structuring technical teams, capabilities, or operating models is a plus.
Responsibilities
- Lead the technical direction of the Checkout domain within the Electronics vertical, ensuring alignment between architecture, delivery, and business goals.
- Design and evolve system architecture, defining scalable and resilient solutions across highly integrated and critical e-commerce flows.
- Oversee end-to-end execution of initiatives, from discovery through delivery, ensuring quality, stability, and performance.
- Act as the main technical spokesperson for the Checkout area in discussions with product teams, business stakeholders, and partner squads.
- Guide the engineering team through technical decisions, mentoring developers and promoting best practices in software design and architecture.
- Identify technical gaps and define capability roadmaps to support the evolution and scalability of the domain.
- Monitor technical and business KPIs, proposing continuous improvements to optimize the checkout journey and conversion performance.
- Facilitate collaboration across multiple teams, managing dependencies and ensuring smooth delivery of complex initiatives.
- Support the creation and evolution of technical agents and automation approaches aligned with platform needs.
- Leverage AI tools to enhance productivity, decision-making, and engineering efficiency.
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