KEENFOLKS

Cloud Engineer

• Design and oversee secure, scalable, and high-performance multi-cloud architectures (AWS & Azure)
• Define data ingestion, governance, and processing frameworks aligned with best practices and compliance standards
• Implement Infrastructure-as-Code (Terraform, Bicep) and modern data pipelines (Airbyte, dbt, Spark)
• Lead DevOps initiatives, including CI/CD, observability, and Kubernetes orchestration
• Collaborate with AI and data science teams to deploy ML models (Azure ML, SageMaker) efficiently and securely
• Ensure compliance with security, privacy, and cost-optimization standards across environments
• Act as a technical mentor and thought leader, promoting excellence and innovation across engineering teams

Senior Cloud Architect

Data Engineer

• Assist in the design and implementation of scalable data pipelines (ETL/ELT)
• Collaborate with senior engineers to maintain high-performance data architectures
• Develop applications, APIs, and pipelines for data ingestion, processing, and consumption
• Work with AWS and Azure data services (data warehouses, data lakes, streaming)
• Support automation and optimization of data workflows with monitoring and observability
• Collaborate with Data Scientists, Analysts, and Product teams to integrate analytics and ML models into production
• Participate in code reviews and learn best practices in software and data engineering
• Stay up-to-date with new technologies (Data Mesh, RAG, MLOps, etc.) and propose innovative solutions

Senior Data Engineer

Data Analyst

• Set up and optimize UTM parameters and pixels for tracking user interactions.
• Define measurement plans and execute tagging strategies using Google Tag Manager and Google Analytics 4.
• Develop reports and dashboards using tools like Tableau, Power BI, and Looker Studio.
• Provide insights from data trends and monitor campaign performance to recommend improvements.

Data Analytics, Tracking Analyst

• Assist in the design and implementation of scalable data pipelines (ETL/ELT).
• Collaborate with senior engineers to maintain high-performance data architectures.
• Develop applications, APIs, and pipelines for data ingestion, processing, and consumption.
• Work with AWS and Azure data services (data warehouses, data lakes, streaming).
• Support automation and optimization of data workflows with monitoring and observability.
• Collaborate with Data Scientists, Analysts, and Product teams to integrate analytics and ML models into production.
• Participate in code reviews and learn best practices in software and data engineering.
• Stay up-to-date with new technologies (Data Mesh, RAG, MLOps, etc.) and propose innovative solutions.

Marketing

• Assist in developing and executing digital marketing campaigns
• Support social media management (content scheduling, community engagement, and analytics tracking)
• Help create and edit marketing materials such as presentations, newsletters, and blog posts
• Conduct market research and competitor analysis to identify trends and opportunities
• Collaborate with design and content teams to ensure brand consistency
• Monitor campaign performance and prepare reports with insights and recommendations

Marketing Intern

Full-stack Engineer

• Lead the architecture, design and development of front-end applications using React (Next.js/Vite) or Vue.js, following atomic design principle, with a hands-on approach
• Build reusable UI components, ensuring a consistent and accessible design system
• Develop and maintain backend services using TypeScript (Node.js) and Python (FastAPI)
• Collaborate closely with Product and Design to translate ideas into clean, efficient, and delightful user experiences
• Integrate and optimize modern AI tooling into the development workflow — from code generation and refactoring to testing and documentation
• Contribute to architecture decisions, code reviews, and technical strategy
• (Nice to have) Deploy, manage, and scale projects using SST Framework (Serverless Stack)

Senior Full Stack Developer

• Design secure, scalable, and cost-optimized multi-cloud architectures (AWS & Azure) and technology roadmaps
• Define data ingestion, storage, processing strategies (batch + streaming) with full lineage, cataloging, and governance
• Decide on build vs. buy for data/AI pipelines and integrate commercial and open-source tools
• Ensure compliance with ISO 27001, SOC2, GDPR, and CCPA
• Deploy Infrastructure-as-Code (Terraform, Bicep) and implement CI/CD for pipelines and microservices
• Build modern data pipelines (Airbyte, dbt, Apache Spark, Azure Data Factory) and enable production ML/AI (Azure ML, SageMaker)
• Run scalable workloads using Docker, ECS/Fargate, Kubernetes (EKS/AKS)
• Establish monitoring and observability (CloudWatch, Azure Monitor, Prometheus, Grafana)
• Apply security best practices (IAM, secrets management, API gateways, OAuth2, Cognito, Azure AD B2C)
• Lead code reviews, define DevOps standards, drive engineering excellence, and mentor engineers
• Partner with clients and internal teams to shape cloud strategies and ensure feasibility and compliance

Cloud Data Architect

• Design and lead the implementation of scalable, high-performance data architectures (ETL/ELT)
• Define standards and best practices across the organization
• Develop applications, APIs, and pipelines for data ingestion, processing, and consumption
• Implement advanced solutions on AWS and Azure (data warehouses, data lakes, streaming)
• Automate and optimize ingestion, transformation, and loading processes with resilience and observability
• Collaborate with Data Scientists, Analysts, and Product teams to integrate analytics and ML models into production
• Mentor and guide junior and mid-level engineers through code reviews and architecture decisions
• Explore new technologies (Data Mesh, RAG, MLOps, etc.) to drive innovation

QA Automation Engineer

• Apoyar en la implementación, mantenimiento y optimización de workflows de automatización usando n8n, Make, Zapier y similares
• Integrar plataformas y construir APIs
• Desarrollar scripts y funciones personalizadas
• Trabajar con bases de datos y herramientas no-code/low-code
• Colaborar en proyectos que combinan tecnología, marketing e innovación en IA
• Aprender y aplicar buenas prácticas en integraciones y mapeo de datos

Marketing Automation Developer Intern

• Keenfolks is a cutting-edge, integrative AI marketing agency specializing in AI-driven personalized marketing.
• Role: Hands-on Tech Lead combining technology strategy, product execution, and team leadership.
• Design scalable and secure cloud architectures (AWS, Azure, GCP) and plan for ISO 27001, GDPR/CCPA compliance.
• Lead development of core platform components (Python: FastAPI, Flask), CI/CD, Infrastructure as Code, and cloud environments.
• Build data pipelines, design secure APIs (REST/GraphQL), and integrate AI solutions (RAG, LangChain, LLM APIs).
• Partner with client Solution Architects & IT leaders on enterprise projects and define the technology roadmap.
• Mentor team, establish best practices, and drive engineering culture.