• Define the long-term technical vision for our marketing stack (Marketo, event management, data pipelines, segmentation and integrations with CRM/CDP/data warehouse). • Own the architecture for the target state of the Marketo migration, including data models, integration patterns and governance standards. • Evaluate and recommend tools, platforms and patterns (e.g., event-driven architecture, standardized data contracts and reusable campaign templates). • Mentor mid-level and senior engineers on system design, coding practices, testing and integration patterns in the marketing technology domain. • Lead the technical design and implementation of the Marketo migration to the desired target state (e.g., new workspace, new instance or integrated platform). • Design and build an event-management capability (webinars, in-person and virtual events) integrated with Marketo and other systems (such as registration tools, webinar platforms and CRM). • Design, develop and maintain data pipelines that move and transform data between Marketo, CRM, data warehouse and other marketing tools. • Work with APIs, webhooks and streaming or batch integrations to support real-time and scheduled data flows. • Implement and optimize audience segmentation strategies in Marketo and related systems. • Develop and maintain internal tools, interfaces and services that support marketing operations and event management (e.g., configuration dashboards and admin tools). • Contribute to overall engineering standards, code reviews and technical design discussions.

• Conduct and analyze experiments, discussing results with a focus on efficiently rolling out tested tools and processes across the company. • Research and develop tools, automations, and processes integrated with AI models for various types of work, such as data analysis, design, and software development. • Collaborate with cross-functional teams across the company to define and deliver new features. • Specify and influence technical decisions regarding the use of AI technologies at iFood.

• Design and build production grade AI systems including RAG pipelines, agentic workflows, and LLM integrations • Own backend services, APIs, and data pipelines end to end with Python as the primary language • Work hands on with AWS services including SageMaker, Bedrock, Lambda, ECS, S3, SQS, and RDS • Translate ambiguous client requirements into scoped technical decisions and delivery plans • Apply Infrastructure as Code using Terraform, CDK, or CloudFormation to manage cloud environments • Use AI assisted development workflows daily, beyond autocomplete and into architecture, review, and velocity • Collaborate with client engineering teams, internal architects, and delivery leads across EU and US time zones

• The Staff Software Engineer will play a critical role in designing, developing, and maintaining high-quality software solutions for the organization. • This role will work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver innovative and scalable software products that meet the needs of our customers and stakeholders. • Expertise and leadership will be vital in guiding the team and ensuring best practices in software development. • Design, code, test, and debug software applications in accordance with established coding standards and best practices. • Develop APIs ensuring optimal performance, scalability, and security. • Collaborate with product managers, designers, and other stakeholders to translate business requirements into technical specifications and architectural designs. • Participate in code reviews to maintain code quality, ensure consistency, and share knowledge among team members. • Identify and troubleshoot software defects and issues, employing analytical thinking and problem-solving skills to develop efficient and effective solutions. • Create and maintain clear and comprehensive technical documentation, including system architecture, design documents, and user guides. • Work closely with cross-functional teams, including product management, quality assurance, and DevOps, to ensure seamless integration of software components and successful product releases. • Stay up-to-date with industry trends, emerging technologies, and best practices in software development. Propose and implement process improvements to enhance development efficiency and product quality.