Tech jobs
Job listings
Ingeniero/a de Software Full-Stack Senior – Plataforma de Pagos
Senior Full-Stack Engineer building and operating a payment platform (PSP) with digital wallet, transport card integration, and fleet financial management using Laravel, React, React Native, and AWS.
Data Engineer Senior Multicloud AWS y Azure
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
Principal Full Stack Security Platform Engineer
Lead the architecture and development of an internal security platform using React, TypeScript, Node.js, and PostgreSQL, integrating enterprise tools and automating remediation workflows.
Desarrollador Backend Java - CL
Backend Java developer building scalable microservices with Spring Boot, REST APIs, and databases; focuses on security, testing, and DevOps practices.
Software Developer- Certified Azure
Build and deploy cloud-native apps on Microsoft Azure using C#/.NET or Python, focusing on microservices, serverless functions, and AKS.
Full Stack AI Engineer (AI Automation, RAG and Workflow Applications)
Build and deploy enterprise-grade AI applications using LLMs, RAG, and intelligent agents with full-stack development in React, Python, and FastAPI.
Cloud Engineer
Design and maintain secure, scalable Microsoft Azure cloud infrastructure for enterprise applications and data platforms using IaC, CI/CD, and Azure-native services.
Data Engineer
Build and maintain secure, scalable ETL pipelines and data warehouses for a multi-tenant fintech platform using Python, SQL, Azure Synapse, and PostgreSQL.
AI Platform & Devops Engineer
Build and maintain cloud infrastructure, CI/CD pipelines, and observability for enterprise AI solutions, ensuring secure, scalable deployments from proof of concept to production.
Senior Platform Engineer / DevOps Consultant – GitOps & Kubernetes
Design and maintain a GitOps-based Kubernetes platform using ArgoCD and JFrog Artifactory, automating cloud-native deployments across AWS and Azure.
Senior Platform Engineer / DevOps Consultant to Malmö!
Build and harden a GitOps delivery platform on Kubernetes using ArgoCD, manage JFrog Artifactory, and secure CI/CD pipelines for a distributed retail-tech environment.
Principal Software Engineer (.Net/Python, Ai)
Lead engineering for AI-enabled risk platforms at a major bank, building secure .NET/Python microservices on AWS, scaling systems from MVP to enterprise-grade, and embedding agentic AI into risk workflows.
Staff Software Engineer (.Net/Python, AI)
Build and operate AI-enabled risk platforms using .NET/Python on AWS, designing microservices, APIs, and agentic AI workflows to automate risk management processes.
AI Solution Architect
Designs and leads the end-to-end architecture for a GenAI underwriting transformation, integrating LLMs, RAG, and cloud services to build production-ready AI solutions for insurance workflows.
AI Engineer
Build and deploy enterprise-grade AI/LLM solutions using Snowflake, dbt Cloud, and Python, focusing on RAG, conversational AI, and MLOps pipelines for a large pharmacy retailer.
Senior Software Engineer, AI Job Orchestration
Senior engineer builds and owns the AI job orchestration layer—unified APIs, CLI, and UI for submitting training, inference, and fine-tuning workloads on Kubernetes and Slurm with RBAC, quotas, and cost/GPU telemetry.
Data Engineer
Build and maintain secure data pipelines and curated datasets in Microsoft Fabric/Azure for analytics and reporting, using PySpark, SQL, dbt and medallion architecture.
Senior Data Engineer
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Senior Data Engineer
Senior Data Engineer builds and maintains enterprise data platforms, ETL pipelines, and data warehouses for a large public-sector data transformation program using SQL, Python, and cloud/on-prem systems.
Data Engineer
Build and maintain secure data pipelines in Microsoft Fabric/Azure, curate trusted datasets for analytics, and implement governance and quality controls for an enterprise data platform.