Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior DevOps engineer building and scaling Kubernetes, CI/CD and cloud-native platforms on GCP and Azure for a global commercial real estate company.
Build and maintain AI/ML infrastructure for a mobile-gaming company, deploying models that power real-time player experiences and internal tools using Kubernetes, Terraform, and cloud platforms.
Senior DevOps Engineer designs and manages scalable Amazon EKS clusters using Kubernetes, Terraform, and AWS, ensuring reliability and security for containerized workloads.
Run and evolve Kubernetes-based infrastructure, automate deployments with Helm/Kustomize, and ensure observability and security for microservices in production.
Build and own Biorce’s AI-native CRM backend, integrating LLM-driven workflows and third-party tools using Node.js, TypeScript, and PostgreSQL in a GCP environment.
Designs and maintains Azure CI/CD pipelines and Kubernetes (AKS) infrastructure using Terraform, with Azure security (Entra ID, Key Vault, RBAC) and optional GCP monitoring.
Build and deploy AI-powered microservices using Python backend and React frontend, integrating LLMs and cloud services for digital transformation projects.
Build and maintain OSINT/GEOINT applications using React/TypeScript for frontends and Python for backends in a security-sensitive environment.
Operate and evolve a Kubernetes-based platform, automate day-to-day ops, and ensure high availability for cloud-native services in an enterprise environment.
Build and run Azure-based SaaS infrastructure using Kubernetes, GitOps, Terraform, and CI/CD to deliver a scalable, secure cloud platform for customers.
You design, build, and run a Kubernetes-based managed-services platform for Swisscom’s B2B customers, automating deployments with GitOps and CNCF tools to keep MongoDB, PostgreSQL, and Kafka services highly available.
Owns and operates the cloud platform and DevOps tooling that run large-scale, data-intensive workloads on Azure and Databricks, ensuring reliability, security, and cost efficiency.
Design and build high-performance RESTful APIs and data pipelines for a U.S. consumer-insights provider, using Python, Snowflake, AWS, and data-clean-room tech.
Design and build cloud-native Azure data pipelines and AI integrations for a global enterprise, using Data Factory, Python, and Azure AI Search to power a multi-model AI engine.
Senior Azure Data & AI Engineer designs and builds cloud-native data pipelines and AI integrations for global enterprises, using Azure Data Factory, Python, and Azure AI Search to power a multi-model AI engine.
Design and optimize Snowflake-based data models and semantic layers to power analytics and AI use cases for a global lottery technology provider.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build and maintain cloud-based data platforms using Azure, Databricks/Snowflake, Terraform/Bicep, and CI/CD pipelines for Deloitte’s clients.
Design, deploy, and maintain on-premises Red Hat OpenShift clusters and CI/CD pipelines for a global telecom provider, automating infrastructure with Ansible and scripting.
You’ll migrate and operate Kubernetes workloads from Azure to AWS, automating pipelines with GitHub Actions and Terraform while ensuring security, observability, and zero-downtime cutovers.
We couldn't check your fit for this role — add a CV to your profile to see it next time.