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Design and deploy cloud security solutions for clients, integrating CSPM/CWPP tools like Prisma Cloud and embedding security into CI/CD pipelines.
Build and scale production-grade agentic AI systems using LLMs, multi-agent orchestration, and RAG pipelines across GCP, Azure, and AWS.
Designs and automates secure, scalable cloud networks across AWS, Azure, and GCP, using Terraform, Kubernetes, and CI/CD to support enterprise infrastructure and hybrid connectivity.
Principal DevOps Lead builds and scales LivePerson’s observability stack on GCP, leading logging, monitoring, and tracing systems with Kubernetes, Elastic, Grafana, Prometheus, and OpenTelemetry to ensure reliable AI platform performance.
Principal DevOps Lead builds and scales LivePerson’s observability platforms on GCP, designing logging, monitoring, and tracing systems using Kubernetes, Elastic, Prometheus, Grafana, and OpenTelemetry.
Build and maintain the backend systems powering Quadrivia’s AI assistant for clinicians, focusing on reliability, scalability, and observability using Python, FastAPI, and async services.
Build and maintain Java/Spring Boot microservices and React front-end for a distributed platform, using event-driven architecture, Kubernetes, and CI/CD pipelines.
Build and deploy generative AI agents and copilots for property tech using LLMs, RAG, and multi-agent systems, integrating them into scalable full-stack applications.
Design, deploy, and secure Kubernetes infrastructure to support AI workloads, using GitOps, CI/CD, and IaC while ensuring high availability and compliance.
Build and maintain cloud-scale identity-security microservices (AuthN/AuthZ, RBAC, APIs) using Go/C#/Java, Kubernetes, and Terraform on AWS/GCP/Azure.
Design and deploy GCP cloud solutions using Infrastructure as Code, Python, and Kubernetes to migrate and automate applications for enterprise clients.
Modernize legacy apps by migrating them to GCP using Kubernetes, Terraform, and CI/CD pipelines while automating infrastructure with Python.
Build and scale the internal platform for AI agents, focusing on retrieval pipelines, orchestration, MCP servers, and observability using Python, Kubernetes, and Google Cloud.
The Senior Kubernetes Architect leads the architecture, design, and governance of Syspro's enterprise Kubernetes platform, delivering scalable multitenancy solutions that underpin the organisation's cloud…
Location: Remote (candidate must be based in Spain) Contract type: Indefinido (permanent)- Full-time Language requirements: Professional working proficiency in English (written and spoken) About the Role We are looking…
Build and deploy enterprise AI agents for a major home-improvement retailer using Google Cloud’s ADK, Vertex AI, and MCP, while owning CI/CD, security, and observability.
Lead the architecture and hands-on development of a next-gen agentic AI platform for banking workflows, integrating LLMs and multi-agent systems to automate processes and boost productivity.
Build and operate secure Azure/GCP cloud portals using Terraform, Ansible, Kubernetes, and CI/CD pipelines; integrate DevSecOps practices and AI-first development while contributing to full-stack portal code.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Validate and break Kubernetes-based cloud platforms on Azure Local and FedRAMP-authorized GCP, designing tests for reliability, security, and observability while troubleshooting from IaC to pods.
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