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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI-first platform engineering, focusing on integrating AI agents into workflows, optimizing CI/CD pipelines, and architecting scalable cloud solutions. Proficient in Infrastructure as Code and automation frameworks to enhance developer productivity and ensure secure, reliable software delivery.
Highest-signal resume keywords
AI-First MindsetCI/CD Pipeline ManagementInfrastructure as Code (IaC)Cloud-Native ArchitectureMonitoring and Observability Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI IntegrationCI/CD AutomationInfrastructure as Code (IaC)Container OrchestrationScripting and AutomationCloud Security Best PracticesWorkflow OptimizationInternal Developer PlatformsAgentic AutomationAutomated Testing
Soft Skills
Mentoring EngineersTechnical LeadershipInfluencing Beyond Team
Tools & Technologies
MCP (Model Context Protocol)GitOpsCloud EnvironmentsObservability SolutionsConfiguration Management Frameworks
Industry Keywords
AI-Augmented EngineeringSoftware Delivery MethodologiesScalable Application ManagementSecurity ComplianceCost Optimization
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- 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
Requirements
What you’ll 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.
Benefits
Comp & perks- 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!
