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Senior Analytics Engineer
Senior Analytics Engineer builds trusted, business-ready data models and semantic layers in Databricks to power dashboards, Genie spaces, and AI-driven self-serve analytics for product and business decisions.
Backend Engineer, AI Systems
Build and maintain the backend systems that power an AI assistant, focusing on inference pipelines, orchestration, and reliable APIs for multi-step workflows.
Backend Engineer, Agent Development (EC AI)
Build backend services for AI-powered shopping and merchant agents that execute real commerce actions like adding to carts or updating listings while ensuring safety, auditability, and low latency.
Software Engineer II
Builds, tests, and deploys resilient banking software in Java/Kotlin/Python/Go, automating operations and improving reliability with Kubernetes, AWS, and observability tools.
Devops Engineer
Maintain and optimize enterprise cloud infrastructure on AWS, automate deployments with Ansible/Bash, and support Kubernetes/OpenShift clusters for mission-critical applications.
Azure DevOps Engineer
Design and maintain Azure DevOps CI/CD pipelines and cloud infrastructure using Terraform, AKS, and Azure services to automate software delivery and deployments.
Senior Java Backend Developer
Builds and migrates Java/Spring Boot microservices to Azure Kubernetes, using Terraform and Kafka to modernize a bank’s securitization platform while ensuring compliance and high availability.
Senior Java & Python Backend Developer
Builds and migrates Java/Spring Boot microservices to Azure Kubernetes, using Terraform and Kafka to modernize a bank’s securitization platform while ensuring regulatory compliance and high availability.
Data Engineer
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, creating ETL/ELT pipelines, optimizing cloud data platforms, and enforcing governance for AI/ML use cases.
Cloud-Native DevOps Engineer | Kubernetes, Azure & CI/CD
Designs and maintains cloud-native infrastructure on Azure, builds CI/CD pipelines with Kubernetes, and ensures observability for healthcare systems.
DevOps Engineer (Madrid-based)
Design and maintain CI/CD pipelines and cloud infrastructure for a global medical-tech company, using Kubernetes, Terraform, and Azure to automate deployments and improve system reliability.
Backend Developer – Laravel / PostgreSQL / AWS
Build and own the backend architecture for real-time AI assistants used in malls, airports, and stadiums, using Python, Django, and cloud services.
Staff Product Manager, Agentic & AI Platform
Own the AI platform that powers Photoroom’s e-commerce visual tools, building primitives, no-code tooling, and agentic workflows so teams can ship GenAI features without backend engineering.
Cloud devops engineer
Designs and maintains CI/CD pipelines, provisions cloud infrastructure with IaC, and deploys containerized apps using Kubernetes and Docker for a cloud-native product.
Platform Engineer
A Platform Engineer bridges cloud infrastructure, automation, and DevOps tools to standardize and optimize CI/CD pipelines for client projects, focusing on containerization, IaC, scripting, and observability in hybrid cloud environments.
Software Engineer, Agentic AI Platform
Build and extend Dolby’s centralized agentic AI platform, integrating AWS Bedrock agents with GitLab CI/CD to orchestrate secure, cost-aware AI workflows for engineering teams.
Site Reliability Engineer/ServiceNow SaaS
Maintain and improve ServiceNow SaaS reliability by automating ops, troubleshooting issues, and building observability for a global team.
lululemon Technology Director, Enterprise Data Platform
Lead the design and operation of lululemon’s enterprise data platform, building scalable data lakes, warehouses, and pipelines to power analytics and AI across the retail ecosystem.
Développeur/euse back-end Big Data
Build and scale high-throughput data pipelines and streaming systems using Spark, Airflow, and AWS to power real-time music discovery for 100M+ fans.
Data Architect (Big Data & Azure)
Design and implement Microsoft Fabric and Azure-based data architectures for large-scale analytics, ensuring interoperability, governance, and AI-readiness across multiple business domains.