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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.