34 DevOps Engineer jobs in Ukraine available for remote work from home. Apply for positions such as DevOps Engineer, DevOps Engineer, DevOps Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will architect and operate the infrastructure backbone for gaming platforms, focusing on high availability, scalability, and security. Additionally, you will lead incident response and maintain robust CI/CD pipelines using modern GitOps practices.
You will architect, build, and manage scalable, cloud-native Kubernetes infrastructure for high-volume, event-driven systems. The role involves collaborating with backend teams to optimize performance, security, and operational efficiency across multiple cloud environments.
You will design and build infrastructure for R&D projects on AWS using infrastructure-as-code and implement robust CI/CD pipelines. Additionally, you will manage observability, security, and cost-optimization strategies while collaborating closely with developers.
Manage and optimize cloud infrastructure while ensuring high availability and performance of critical services. Automate repetitive tasks and improve CI/CD practices to enhance team efficiency and security compliance.
Design, develop, and optimize automation for CI/CD pipelines to enable faster and safer releases for R&D teams. Build and maintain advanced monitoring, alerting, and fault-tolerance systems to ensure proactive issue resolution.
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Build and maintain automated infrastructure across bare-metal, virtualized, and containerized environments. Drive continuous improvements in CI/CD pipelines and provide automation support for development and verification teams.
Design and build the infrastructure for a greenfield high-load streaming and WebRTC platform ensuring scalability and low latency. Develop CI/CD pipelines, manage Kubernetes clusters via IaC, and implement comprehensive observability and monitoring solutions.
You will plan and execute the migration of a large-scale Datadog environment, including monitors, dashboards, and log pipelines. Additionally, you will collaborate with engineering teams to ensure operational readiness and validate configurations across AWS and Kubernetes integrations.
You will be responsible for designing, implementing, and maintaining scalable, secure, and automated cloud infrastructure and CI/CD pipelines. You will also collaborate with development and operations teams to drive deployment reliability and infrastructure automation.
Plan and execute the migration of a large-scale Datadog environment, including monitors, dashboards, and security configurations. Collaborate with engineering teams to ensure operational readiness and validate migration accuracy across AWS and Kubernetes integrations.
Design, implement, and maintain CI/CD pipelines while automating cloud deployments for enterprise workloads. Collaborate with cross-functional teams to improve operational efficiency and provide technical expertise in DevOps practices.
You will define the long-term architecture, automation strategy, and reliability goals for the entire R&D infrastructure footprint. Additionally, you will optimize production Kubernetes clusters and integrate AI-assisted tooling to drive automated incident remediation and predictive cost-optimization.
You will design, implement, and maintain DataOps and test infrastructure on Microsoft Azure to ensure high availability and scalability. Additionally, you will collaborate with the engineering team to troubleshoot system issues and drive improvements in infrastructure stability and SRE processes.
You will own and evolve the AWS infrastructure end-to-end, ensuring reliability, security, and compliance with standards like SOC 2. Additionally, you will support the development team with deployments, manage CI/CD pipelines, and lead the migration to Kubernetes.
You will maintain and optimize high-load Kubernetes infrastructure while collaborating with backend engineers to ensure system reliability and cost-efficiency. Additionally, you will implement monitoring, alerting, and automated CI/CD pipelines to support a global live-streaming platform.
You will be responsible for building, automating, and maintaining the infrastructure that powers the company's payment platform. This includes managing CI/CD pipelines, ensuring high availability, and optimizing cloud infrastructure using Infrastructure as Code.
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You will collaborate with clients to gather technical requirements and provide recommendations for system optimizations and best practices. Additionally, you will support cloud infrastructure, manage deployment processes, and provide technical guidance to engineering teams.
The Lead DevOps Engineer will architect, deploy, and manage highly available cloud infrastructure on GCP while maintaining robust CI/CD pipelines. They will also enforce strict security, compliance, and observability standards across the production environment.
Design, implement, and manage AWS-based DevOps solutions to support data and analytics needs. Responsibilities include migrating services, establishing monitoring practices, and optimizing infrastructure costs.
Design, implement, and manage DevOps solutions to support data and analytics needs on the Google Cloud Platform. This includes maintaining infrastructure as code, improving CI/CD pipelines, and managing monitoring and logging tools.
Design, implement, and manage DevOps solutions to support data integration, analytics, and business intelligence. Develop CI/CD pipelines and maintain infrastructure as code using Terraform.
Operate and support production-grade Kubernetes clusters and CI/CD pipelines to ensure high availability and stability. Monitor system health and maintain observability tools to proactively resolve incidents and drive operational improvement.
Design, implement, and manage Red Hat OpenShift clusters in on-premises environments while automating deployment tasks using Ansible. Collaborate with development teams to optimize CI/CD pipelines and ensure high availability through monitoring and disaster recovery strategies.
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Design, implement, and maintain scalable cloud infrastructure on Azure using Infrastructure as Code and Python automation. Build and optimize CI/CD pipelines while ensuring system reliability, security, and cost efficiency.
Design, implement, and manage DevOps solutions to support data and analytics needs using Google Cloud Platform. Responsibilities include maintaining infrastructure as code, improving CI/CD pipelines, and conducting technical interviews.
Design, implement, and manage AWS-based DevOps solutions to support data and analytics needs. Responsibilities include migrating services, establishing monitoring practices, and reducing operational costs during scaling.
Design, implement, and manage DevOps solutions to support data integration, analytics, and business intelligence requirements. Develop and maintain CI/CD pipelines and infrastructure as code using Terraform.
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