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Data Platform DevOps Engineer- 50% TW (Madrid)
DevOps engineer maintains and optimizes a cloud-based data platform for a fintech client, automating deployments, monitoring performance, and managing Kubernetes clusters.
DevOps Engineer
DevOps Engineer deploys and maintains CI/CD pipelines, Kubernetes/Docker clusters, and secure infrastructure for defense projects, collaborating with security teams and using tools like Jenkins, GitLab, and OpenStack.
Senior Backend Software Engineer (Java)
Build and scale backend services in Java/Spring for a creator-economy CRM platform, designing scalable microservices and event-driven systems.
Backend Software Engineer
Build and scale backend services for a gaming company’s wallet platform using .NET, microservices, and cloud tech to power loyalty features and user engagement.
AI-Native Backend
Lead backend/API engineering for a global Banking-as-a-Service platform, using Java/Spring Boot and Python while supervising AI-assisted workflows with tools like Devin and GitHub Copilot to deliver secure, scalable microservices.
Backend Engineer (Java / Spring Boot)
Mid Backend Engineer building and deploying features end-to-end using Java, Spring Boot, MySQL, Redis, RabbitMQ and AWS for a high-availability travel platform.
Data & ML Platform Engineer
Build and maintain scalable data pipelines, ML infrastructure, and MLOps workflows on Google Cloud to power Tekever’s AI-driven surveillance and decision-support systems.
Staff Data Platform Engineer
Lead the architecture and hands-on development of a next-gen streaming and analytics platform for a fast-growing fintech company, using Kafka, Spark, Flink, and Snowflake to process billions of financial events.
DevOps & Environment Lead (AWS / Cloud Platforms)
Leads AWS cloud environment automation, CI/CD pipelines, and DevOps tooling for FTSE Russell’s fintech infrastructure, ensuring scalable, secure deployments with minimal downtime.
Platform Engineering Manager - Cloud & DevOps
Lead a team managing Kubernetes (EKS), AWS services, and CI/CD pipelines to support Java and JavaScript/TypeScript applications with a focus on security.
Senior AWS DevOps Lead — Hybrid/Contract
Leads AWS cloud infrastructure design, CI/CD pipelines, and Kubernetes deployments for a consulting firm, ensuring scalability, security, and automation across client environments.
Full Stack Developer (Java / Python / Go)
Build and maintain full-stack apps in Java/Python/Go, containerize them, and deploy on AWS/GCP while automating infra with Terraform and CI/CD pipelines.
Lead DevOps (iOS)
Lead a DevOps team to automate and optimize iOS CI/CD pipelines, monitoring, and on-premise infrastructure for a cloud archiving and compliance platform.
DevOps Specialist – CI/CD & Cloud Infrastructure
Build and maintain CI/CD pipelines and Kubernetes-based cloud infrastructure to automate software delivery and ensure reliable production deployments.
Cloud DevOps Lead
Lead cloud infrastructure and DevOps initiatives, modernize systems, and mentor engineers to scale cloud platforms and automation using AWS/Azure/GCP, CI/CD, Kubernetes, and IaC.
Full Stack Engineer - AI Enabled – Senior Vice President
Build and lead AI-enabled full-stack systems in Java/Angular for a global fintech platform handling $5T in daily transactions, integrating agentic AI to solve complex business challenges.
Lead Devops
Lead a DevOps team to design and deploy secure, scalable cloud solutions on AWS, using Kubernetes, Terraform, CI/CD pipelines, and security automation while enforcing best practices.
Mid-Level Fullstack Engineer (TypeScript / Python/ AWS)
Build and scale a GenAI platform using React/TypeScript for the frontend and Python on AWS for the backend, deploying containerized services with Kubernetes and CI/CD.
Devops Lead
Build and secure cloud-native infrastructure from scratch for a telecom security startup using Terraform, Kubernetes, and Zero Trust practices while ensuring high uptime and low latency.
Sr. FinOps Engineer (68022) (DEAI DS) Cloud & Data Engineering United Kingdom
Build and maintain FinOps dashboards and data pipelines to track, analyse, and optimise on-premises infrastructure costs using SQL, Python, and BI tools like Power BI.