DevOps Engineer CI/CD

dLocal; Barcelona; Híbrido; EUR 60.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexibility

Fintech industry

Referral bonus program

Social budget

dLocal Houses

Descripción de la vacante

dLocal is seeking a DevOps Engineer, Technical Referent to lead architectural decisions and mentor engineers. You will drive an AI-first strategy across the delivery lifecycle, embedding AI agents, building self-service platforms, and improving CI/CD, observability and security practices across critical applications for global brands.

You will partner with teams to evolve cloud-native architectures, implement IaC, and foster a culture of automation and rapid delivery, while maintaining strong

Formación

• Proven experience acting as a technical referent or lead: driving technical decisions and mentoring engineers.
• AI-first mindset: use of AI agents and coding assistants as part of daily workflow.
• Hands-on experience integrating AI into engineering workflows and CI/CD.
• Experience designing/managing CI/CD pipelines with automation tools.
• Proficiency in Infrastructure as Code and configuration management.
• Strong understanding of container orchestration and cloud-native architectures.
• Experience building internal developer platforms and self-service infra.
• Expertise in cloud environments, security, cost efficiency and scalability.
• Proficiency in scripting/automation for workflow optimization.
• Familiarity with monitoring, logging, and observability solutions.

Responsabilidades

• Act as the team's technical referent: drive architectural decisions and set engineering standards.
• Champion an AI-first approach across the software delivery lifecycle and mentor engineers.
• Design self-service platforms and automation frameworks to boost productivity.
• Enhance CI/CD pipelines for scalable, secure releases.
• Improve developer experience with workflow automation and self-service tooling.
• Automate infrastructure provisioning and declarative operations.
• Architect scalable, cost-aware cloud-based solutions with observability.
• Develop internal tooling for AI-assisted operations.
• Monitor platform performance using observability tools.
• Evaluate AI models and tools; define secure adoption guidelines.

Conocimientos

Technical referent leadership

AI-first mindset

AI-assisted CI/CD

CI/CD pipelines

Infrastructure as Code

Cloud-native architectures

Kubernetes

Security best practices

Observability & monitoring

GitOps

Automation scripting

Agent-based automation

Herramientas

MCP (Model Context Protocol)

Descripción del empleo

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer‑centric, and if this sounds like you, we know you will thrive in our team.

What's the opportunity?

We are looking for a DevOps Engineer, Technical Referent to join our team! You will be the technical reference of a talented team that works on mission‑critical applications for big customers like Netflix, Amazon, Nike, Facebook, Google & more. Beyond hands‑on engineering, you will set the technical direction of our platform, mentor other engineers, and lead our shift towards an AI‑first way of building, shipping, and operating software

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.

What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

• Flexibility: we have flexible schedules and we are driven by performance
• Fintech industry: work in a dynamic and ever‑evolving environment, with plenty to build and boost your creativity
• Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
• Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
• dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

Flexibility in how you work:

We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubs.

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage, Linkedin and Youtube for more about dLocal!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.