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Top Hybrid DevOps & Platform Engineering Jobs
Information Technology
Implement and support infrastructure solutions including network, server, security, and collaboration systems while consulting on projects and interim assignments.
Top Skills:
AzureAzureadAzuremfaBittitanCisco SslvpnIntuneMeraki FirewallsMicrosoft 365Microsoft Active DirectoryMicrosoft MdmMicrosoft Windows ServersNinjaoneSharegateVeeamVMware
Artificial Intelligence • Cloud • Professional Services
The Head of DevOps will lead cloud platform strategy and engineering for multi-account cloud foundations, ensuring security and efficiency. Responsibilities include establishing CI/CD practices, platform reliability, security controls, and managing the DevOps team.
Top Skills:
AksAWSAzureAzure DevopsEcsGithub ActionsGitlab CiGrafanaKubernetesOpentelemetryPrometheusTerraform
Cloud • Security • Software
Design, build, and maintain cloud-hosted infrastructure and CI/CD pipelines for a large identity platform. Improve deployment automation, reliability, observability, and cost optimization. Collaborate across teams, evaluate technologies, participate in planning, and join an on-call rotation to support production services.
Top Skills:
Ci/CdDockerGCPGitGoKubernetes
Cloud • Information Technology • Software • Analytics • Business Intelligence
Lead architecture and implementation of Sentry's Issue Workflow platform, solving performance and scalability challenges across real-time ingestion, search, and analysis systems. Drive technical roadmap, mentor engineers, champion product quality, and ensure the platform performs at billions-of-events scale.
Top Skills:
ClickhouseKafkaPostgresPythonTypescript
Artificial Intelligence • Software
The Senior Platform Engineer will design, develop, and scale core systems for an AI-driven analytics platform, focusing on performance and customer impact.
Top Skills:
JavaPythonSQL
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Information Technology • Software • Cybersecurity
Support and build automation, CI/CD pipelines, and internal developer tooling. Write scripts and IaC, collaborate onsite to debug, participate in code reviews, and improve monitoring, observability, and developer workflows.
Top Skills:
.NetAWSAzureBashChatgptCodexContainersDynatraceGithub ActionsGithub CopilotGitlab CiGCPGrafanaHelmJavaJavaScriptJenkinsKubernetesLinuxPowershellPrometheusPythonService MeshTerraform
Software
Lead design and implementation of multi-region cloud platform services focusing on reliability, observability, CI/CD, service mesh, event-driven architectures, and shared infrastructure. Build automation/tools in Go/Python, operate Kubernetes at scale, manage messaging, databases, and participate in on-call support while ensuring compliance for government deployments.
Top Skills:
AWSAzureCi/CdDatadogElk StackEnvoyGCPGitlab CiGo (Golang)Google Pub/SubGrafanaIstioKafkaKubernetesMySQLNatsPostgresPrometheusPythonRabbitMQRestful ApisService Mesh
Artificial Intelligence • Cloud • Machine Learning • Software
Architect and build secure, scalable cloud and edge infrastructure for AI workloads. Implement IaC, Kubernetes with GPU support, CI/CD with security controls, observability, MLOps pipelines, disaster recovery, incident response, and mentor engineers while driving infrastructure standards and automation.
Top Skills:
AnsibleArgocdAWSAzureBashCkaCkadCloudwatchDatadogDockerElkGCPGithub ActionsGitlab CiGitopsGoGrafanaIstioJenkinsKubernetesLinkerdPrometheusPulumiPythonTerraform
Healthtech • Software
As a Senior DevOps Engineer, you will build and maintain scalable infrastructure, manage application monitoring systems, and provide operational support to engineering teams. You will also design and implement CI/CD pipelines and troubleshoot complex issues across environments.
Top Skills:
AnsibleAWSAzureBashChefDockerGCPGithub ActionsJenkinsPostgresPuppetPythonTerraform
Travel
Lead and own the companys technology ecosystem and operational infrastructure; design and govern platforms, workflows, and data architecture; drive system strategy, adoption, integration, and optimization; partner with operations to embed systems in daily execution; scale technology while preserving client personalization and service quality.
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