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Build and maintain CI/CD pipelines for .NET apps and SQL Server across Azure and on-prem, using GitHub Actions, Azure Pipelines, and IaC tools like Terraform or Bicep.
DevOps Engineer maintains, monitors, and optimizes enterprise applications and CI/CD pipelines for an insurance-focused outsourcing firm, ensuring uptime and security.
Build and automate cloud infrastructure on AWS, Azure, and GCP using Terraform, Kubernetes, and CI/CD pipelines to deploy and monitor ad-tech systems handling hundreds of millions in media spend.
Build and maintain CI/CD pipelines, automate deployments, and manage cloud infrastructure using tools like Kubernetes, Terraform, and AWS/GCP.
Maintains and automates Linux/Windows infrastructure, Kubernetes clusters, and CI/CD pipelines to keep production systems stable, secure, and scalable.
Builds and maintains cloud-native infrastructure using Kubernetes, Docker, Terraform, and CI/CD pipelines to deploy scalable applications on AWS/Azure/GCP.
Build and secure Google Cloud infrastructure, automate CI/CD pipelines, and ensure production reliability for Bizee’s platforms using Terraform, Docker, Kubernetes, and observability tools.
Design and maintain AWS infrastructure, automate deployments with CI/CD, and support Adobe Experience Manager in the cloud for a nearshore IT services provider.
Builds enterprise Java backends with Spring Boot/Hibernate and Vue.js frontends, applying microservices, CI/CD, and AI tools to deliver scalable, secure applications.
Designs, builds, and deploys cloud-native software for telecom and enterprise systems using Python, Java, and Kubernetes, focusing on microservices and data visualization tools.
Build and maintain Python/C# data pipelines, analytics platforms, and monitoring dashboards using NumPy, Pandas, and Grafana for enterprise clients.
Build and maintain Adyen’s on-premise big-data platforms, ensuring reliability, scalability, and cost-efficiency for thousands of daily jobs and petabytes of storage.
Build and scale Airweave’s distributed data pipelines, vector databases, and LLM inference infrastructure to power thousands of AI agents reliably at scale.
Build and maintain a cloud-agnostic data and ML platform for scalable, reproducible model training and deployment across multiple products, ensuring reliability, cost-efficiency, and EU compliance.
Build and maintain the Sentinel platform that aggregates sensor data for the Royal Netherlands Marechaussee, automating pipelines and ensuring 24/7 operational reliability to support national security and crisis response.
Design and maintain a secure, scalable data platform for multimodal medical datasets, enabling AI training and real-time hospital workflows using open-source tools like Kubernetes, Terraform, and Dagster.
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Maintain and evolve a GitOps-driven OpenShift CI/CD platform for 55+ DevOps teams, automating deployments, upgrades, and monitoring for 900+ applications in a government environment.
Build and maintain scalable Azure cloud infrastructure and CI/CD pipelines for an innovative insurtech company, migrating legacy systems to modern DevOps practices.
Build and scale a centralized OpenTelemetry observability platform using Go/Python, Kubernetes, and cloud-native tooling to standardize monitoring across hundreds of applications.
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