Senior Site Reliability Engineer - AI Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer - AI Platform based in Brazil. As a Senior Site Reliability Engineer - AI Platform, you will help build the foundational technology enabling large-scale adoption of AI and hyper-automation. You will design platform architectures from scratch, establish technical guardrails, and create secure, scalable systems that empower teams to innovate independently. The role combines SRE, software engineering, infrastructure, distributed systems, and applied AI in a highly strategic and early-stage environment. You will tackle complex platform challenges involving reliability, performance, observability, security, and cost management. Your work will directly influence how AI-powered solutions and automated workflows are developed, deployed, and operated across the organization. You will have significant autonomy to rethink existing approaches, solve new technical problems, and establish engineering practices for a growing platform. The position follows a remote-first model, allowing you to work from anywhere in Brazil, with access to offices or coworking spaces when preferred.

Design and build foundational platform architectures from scratch to support scalable AI adoption and hyper-automation. Develop reliable, secure, and highly scalable infrastructure that enables teams to build and operate AI-powered automations with autonomy. Establish platform guardrails, protection mechanisms, and engineering standards covering reliability, security, observability, and operational performance. Build and maintain infrastructure using Infrastructure as Code and modern platform technologies, including Kubernetes, containers, Vault, and API Ingress. Develop and optimize CI/CD processes that enable consistent, automated, and reliable software delivery. Address high-scale performance challenges and design solutions for complex distributed systems. Contribute to the evolution of database architecture, including modeling, structuring, and long-term scalability. Apply software engineering best practices across version control, testing, deployment automation, code reviews, and technical design documentation. Explore and incorporate applied AI capabilities by considering model behavior, costs, token usage, observability, and relevant use cases. Collaborate within agile environments using methodologies such as Kanban or Scrum. Help shape the technical direction of the platform while mentoring, technically leading, or influencing other SRE and engineering professionals when needed. Requirements: At least 7 years of professional experience as an SRE or Software Engineer. Strong interest in applied AI, including an understanding of AI models, costs, observability, tokens, and practical use cases. Solid experience with Infrastructure as Code and modern platform technologies such as Kubernetes, containers, Vault, and API Ingress. Strong software engineering fundamentals, including version control, automated testing, deployment automation, code review, and technical design documentation. Deep knowledge of modern CI/CD practices and continuous integration and deployment workflows. Proven experience designing and building software and systems architectures completely from scratch. Experience working with high-scale systems, performance optimization, and distributed system architectures. Strong knowledge of database modeling, structuring, and evolution. Hands-on experience working with agile methodologies such as Kanban or Scrum. Professional proficiency in both Portuguese and English. Genuine interest or practical experience with applied AI, including models, costs, tokens, and observability. Previous experience with no-code or low-code platforms such as Zapier, Base44, Botpress, or Botcity is a plus. Experience mentoring, technically leading, or influencing other SREs is desirable. Benefits: Competitive salary. Profit-sharing opportunities. Meal allowance. Health insurance. Dental plan. Life insurance. Childcare subsidy and atypical parenthood subsidy. Wellhub membership. Home office allowance. Employee assistance program covering mental health, social, legal, and financial support. Extended parental leave. Day off on your birthday, Mother’s Day, and Father’s Day. Benefits Club with discounts on everyday services. Discounts at educational institutions. Reading kit for children through PlayKids. Remote-first work model, with the flexibility to work from anywhere in Brazil. Option to work from São Paulo offices or partner coworking spaces up to twice per week.

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