DevOps Engineer CI/CD

Why Join dLocal?
dLocal is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.

What will I be doing?

Act as the team's technical referent: drive architectural decisions, set engineering standards, and mentor engineers to raise the technical bar across the organization.

Champion an AI-first approach to platform engineering: embed AI agents and assistants across the software delivery lifecycle, and build the skills, plugins, and MCP integrations that make them first-class citizens of our workflows.

Optimize developer productivity by designing and implementing self-service platforms and automation frameworks that streamline software delivery.

Improve software deployment processes by enhancing CI/CD pipelines and ensuring scalable, reliable, and secure releases.

Enhance the developer experience through workflow automation, internal developer platforms, and self-service tooling.

Automate infrastructure provisioning and configuration management, promoting a declarative and automated approach to operations.

Architect scalable and resilient cloud-based solutions, ensuring best practices in security, observability, and cost optimization.

Develop and maintain internal tooling and automation — increasingly AI-assisted and agent-driven — to improve efficiency and streamline operations.

Monitor, troubleshoot, and optimize platform performance using observability and monitoring solutions.

Evaluate emerging AI models, agents, and tools, and define guidelines for their secure, responsible, and effective adoption across engineering teams.

Advocate for modern software delivery practices, including Infrastructure as Code, GitOps, cloud-native architectures, and AI-augmented engineering

What skills do I need?

Proven experience acting as a technical referent or lead: driving technical decisions, mentoring engineers, and influencing beyond your own team.

AI-first mindset: you use AI agents and coding assistants as a natural part of your daily workflow, and you understand the building blocks of the ecosystem — models, agent skills, plugins, and protocols such as MCP (Model Context Protocol).

Hands-on experience integrating AI into engineering workflows, such as agentic automation, custom MCP servers, or AI-assisted CI/CD.

Experience in designing and managing CI/CD pipelines with automation and deployment tools.

Proficiency in Infrastructure as Code (IaC) and configuration management frameworks.

Strong understanding of container orchestration and cloud-native architectures for scalable application management.

Experience building and managing internal developer platforms and self-service infrastructure solutions.

Expertise in cloud environments and best practices for security, scalability, and cost efficiency.

Scripting and automation skills using programming languages for workflow optimization.

Proficiency in monitoring, logging, and observability solutions to ensure system reliability.

Knowledge of modern software delivery methodologies, including GitOps, automated testing, and continuous deployment.

Security-first mindset, ensuring compliance and best practices across cloud, infrastructure, and AI tooling.