Head of Platform Engineering

• **This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Platform Engineering based in Brazil.**
• We are seeking a Head of Platform Engineering to lead the evolution of engineering platforms, developer productivity, and production reliability at a global scale.
• This strategic leadership role combines platform engineering, SRE practices, and AI-assisted software development to transform how engineering teams build and deliver software.
• You will define the standards, tools, and processes that enable hundreds of engineers to move faster while maintaining quality, security, and operational excellence.
• The position offers the opportunity to shape engineering strategy, influence organizational change, and drive innovation within a high-impact technology environment.
• You will own critical initiatives across infrastructure, developer experience, automation, observability, and AI adoption.
• Working closely with engineering leaders and technical teams, you will create scalable solutions that improve productivity and reliability across the organization.
• This is an opportunity to redefine modern software delivery by combining platform excellence with responsible AI-powered engineering practices.

### Accountabilities

• Own the strategy and execution of the internal developer platform (IDP), including standardized service templates, CI/CD pipelines, deployment tooling, feature flag infrastructure, progressive delivery, and automated rollback capabilities.
• Build and maintain scalable “paved roads” that enable engineering teams to deliver software faster, safer, and with greater consistency.
• Lead Site Reliability Engineering (SRE) practices, including observability standards, incident management maturity, production readiness reviews, on-call improvements, and reliability engineering initiatives.
• Establish and improve operational standards for mission-critical production systems, ensuring availability, resilience, and fast recovery from incidents.
• Define and execute the strategy for AI-assisted engineering adoption, including developer workflows, AI coding tools, internal platforms, evaluation practices, and responsible usage guidelines.
• Drive the evolution of AI-powered development capabilities by integrating advanced tools, improving prompts and context management, and ensuring AI-generated code follows engineering standards.
• Partner with engineering leadership and principal engineers to establish standards for architecture consistency, testing, code reviews, deployments, and AI usage.
• Lead organizational adoption programs, including enablement initiatives, communication plans, engineering champions, migration strategies, and continuous improvement efforts.
• Measure the impact of platform initiatives through meaningful engineering metrics, including DORA metrics, reliability indicators, platform adoption, AI-assisted productivity, and quality improvements.
• Influence engineering culture by promoting automation, operational excellence, reliability, and continuous innovation.

## **Requirements:**

• Proven experience leading Platform Engineering, SRE, or combined engineering functions at significant scale, supporting large engineering organizations and production systems with high business impact.
• Experience working with complex, mission-critical, or regulated environments such as fintech, payments, financial services, or similar industries is highly valued.
• Strong understanding of modern software delivery practices, including CI/CD, infrastructure automation, deployment strategies, observability, reliability engineering, and developer experience.
• Ability to balance engineering velocity with production stability, quality, and operational excellence.
• Strong knowledge of engineering productivity frameworks, including DORA metrics and their application in modern AI-assisted development environments.
• Experience implementing large-scale engineering transformations, such as platform migrations, reliability programs, development workflow improvements, or AI adoption initiatives.
• Hands-on familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, agentic coding platforms, or similar technologies.
• Experience evaluating, deploying, or building AI-powered developer tools and understanding the importance of context, standards, governance, and measurement.
• Strong leadership and communication skills, with the ability to influence engineers, technical leaders, and executives.
• Ability to communicate fluently in English.
• Experience reducing engineering failure rates while improving delivery speed, supported by measurable results, is a plus.
• Experience with internal AI coding platforms, prompt engineering, context systems, agentic workflows, or AI-generated code evaluation frameworks is a plus.
• Public contributions or thought leadership in platform engineering, reliability, or responsible AI adoption are a plus.

## **Benefits:**

• Flexible work model focused on impact, autonomy, and productivity.
• Opportunity to work on large-scale fintech and technology challenges in a global environment.
• Flexible schedules designed to support effective and sustainable work practices.
• Performance-driven culture with opportunities to build and innovate.
• Referral bonus program for recommending successful candidates.
• Monthly social budget to strengthen team connections and collaboration.
• Access to coworking opportunities through team-focused initiatives.
• Opportunity to collaborate with international teams across different countries and cultures.
• Professional growth opportunities through exposure to cutting-edge platform engineering and AI transformation initiatives.
• Inclusive environment focused on innovation, ownership, and continuous learning.