Head of Automation & Corp System

Academic background in Computer Science, Software Engineering, or related disciplines. Extensive experience in senior engineering leadership roles within product-centric technology companies. Familiarity with CI/CD pipelines, infrastructure as code, and microservices architecture. Understanding of software architecture, clean code principles, and system scalability in high-throughput or regulated environments. Strong grasp of modern software quality practices, including automated testing, code reviews, observability, and performance optimization. Strategic vision to consolidate automation as a transversal capability for operational efficiency. Proven experience leading hands-on technical teams, with the ability to engage directly in architectural and design decisions. Expertise in process improvement, redesign, and automation, including efficiency assessment, implementation of BPM/RPA tools. Deep knowledge of advanced automation using Artificial Intelligence, including deployment of AI Agents, machine learning models, document OCR, and autonomous workflows. Familiarity with AI-assisted development tools. Solid experience evaluating technologies and vendors, including leading selection processes. Functional and technical expertise in corporate ERP systems such as SAP, Oracle, Totvs, or SuccessFactors. Familiarity with SaaS platforms supporting internal functions such as HR, Finance, Legal, Procurement, and Compliance. Desirable experience or awareness of security, observability, and compliance practices. Proven ability to lead and scale high-performing engineering teams across multiple squads or domains. Experience managing Engineering Managers and building layered leadership structures. Demonstrated ability to define and track team OKRs and technical KPIs aligned with company goals. Skilled at evaluating and prioritizing technical initiatives based on business impact, platform health, and long-term strategy. Experience managing engineering budgets, tooling investments, and infrastructure resources efficiently. Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders. Demonstrated success in partnering with cross-functional leaders from Product, Design, Business, and Operations. Proven ability to drive collaboration across squads and departments. Comfortable operating in dynamic, fast-paced environments and leading through influence, vision, and technical credibility. Track record of hiring, mentoring, and developing engineering talent. Committed to building inclusive, psychologically safe, and growth-oriented team environments. Experienced in driving knowledge sharing, promoting engineering best practices, and enabling continuous learning across teams. Strong expertise in Java and Spring Boot, complemented by solid knowledge of relational databases, data modeling. Solid experience designing and operating distributed systems and working with AWS cloud services.

Lead and scale a team of engineers, specialists and experts. Remain actively involved in system architecture decisions and complex problem-solving. Collaborate closely with different stakeholders to ensure alignment between business goals and technology execution. Assist to define and drive engineering best practices across development, testing, deployment, and observability. Mentor engineers and technical leaders, fostering career growth and technical development. Participate in technical hiring and help shape the team structure and engineering processes. Promote the adoption of AI-assisted engineering practices within your squad and chapter. Champion the use of AI-assisted development tools and modern engineering practices. Promote and drive the adoption of artificial intelligence and intelligent automation in corporate systems. Guides conversations to remove blockers and encourage collaboration in your team. Define and drive the technical vision and strategy of the tribe. Partner with business and operating counterparts to shape roadmaps, identify trade-offs, and prioritize delivery. Promote high standards in software architecture, observability, reliability, and scalability. Ensure that teams are resourced, structured, and supported to deliver value with speed and quality. Actively contribute to talent strategy: hiring, succession planning, career development, and performance management of engineering leadership. Serve as the primary interface between engineering and the Tribe Lead. Collaborate with the VP of Engineering and other Heads of Engineering to uphold chapter-wide standards. Guide architectural decisions and governance, facilitating technical forums and peer reviews at tribe level. Establish and monitor key technical KPIs across squads to drive continuous improvement. Lead by example in cultivating an inclusive, empowering engineering culture.