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Middle Full Stack Developer (Generative AI)
Build and deploy cloud-based Generative AI applications using Python/.NET on Azure, with React/Next.js for frontend features, focusing on LLMs, RAG, and agent architectures.
Senior DevOps Engineer (Azure)
Build and maintain CI/CD pipelines and infrastructure-as-code for a financial-services client’s Azure-based data platform, using Terraform, Azure DevOps, and Databricks Asset Bundles.
DevOps Engineer | AWS & Cloud - 100% Remoto
A DevOps Engineer manages cloud infrastructure (AWS, Kubernetes, Docker) and automates CI/CD pipelines, IaC, and observability tools to optimize cloud operations and reduce costs.
Devops Engineer - Neotalent Conclusion
DevOps engineer builds and maintains secure, scalable cloud infrastructure and CI/CD pipelines for a logistics client using GCP, AWS, Terraform, and Python/Bash.
DevOps Engineer | AWS & Cloud - 100% Remoto - marbella
DevOps Engineer builds and maintains cloud-native infrastructure on AWS, automating deployments with Kubernetes, Docker, Terraform, and CI/CD pipelines.
DevOps Engineer (m/f/d)
A DevOps Engineer manages and optimizes cloud infrastructure (Azure AKS, Terraform) and CI/CD pipelines (GitHub Actions, ArgoCD) to ensure reliable, scalable production systems for a large consumer electronics retailer.
Infrastructure Engineer/DevOps Engineer
Build and maintain cloud-native infrastructure and CI/CD pipelines for simulation and modeling tools in a DevOps role, using Azure, Kubernetes, Terraform, and Python.
DevOps Engineer - girona
Build and automate AWS cloud infrastructure from scratch using Kubernetes, Terraform, and CI/CD pipelines, ensuring reliability and observability for a new service.
Senior DevOps Engineer
Build and operate cloud infrastructure, CI/CD pipelines, and IaC for a platform trusted by life-science organizations to run Nextflow workflows at scale.
DevOps Engineer
Design and optimize high-performance CI/CD pipelines, implement advanced deployment strategies, and manage Kubernetes-based container platforms to ensure scalable, secure infrastructure.
DevOps Engineer
Senior DevOps Engineer building and scaling cloud-native infrastructure, Kubernetes clusters, and AI serving platforms using IaC, GitOps, and observability tools.
DevOps Engineer
Build and automate AWS cloud infrastructure from scratch using Kubernetes, Terraform, and CI/CD pipelines, with full observability and security.
Senior Java Developer (AWS) - Remote
Design and build secure, scalable Java microservices and REST APIs in a cloud environment, using Spring Boot, Hibernate, and AWS services like Lambda and API Gateway.
Senior Backend Developer (Java) - madrid
Build and maintain Java-based backend services using Spring Boot, microservices, Kafka, and AWS, while collaborating in a hybrid team in Madrid.
Senior Java Developer (AWS) - Remote - gijón
Builds secure, scalable Java microservices and REST APIs in AWS for a global utility-tech platform, using Spring Boot, Hibernate, and event-driven integrations.
Java Developer
Design and develop scalable cloud-based microservices in Java 11/17 with Spring Boot, Docker, Kubernetes, and Azure, automating deployments via CI/CD pipelines for international clients.
Full Stack Web Developer (Backend Focus) – Multi-cloud GenAI Platform / Secure GPT
Build and maintain a secure, multi-cloud GenAI platform (Azure/AWS/GCP) with a focus on Secure GPT services, APIs, and RAG pipelines using Node.js, React, and cloud-native tooling.
Desarrollador Backend Node.js y TypeScript - valladolid
Backend developer building scalable serverless services in Node.js and TypeScript on AWS, using PostgreSQL, DynamoDB, Terraform and SST.
Senior AI Platform Engineer
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
AI Platform Engineer (Cloud)
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.