Top DevOps Jobs in Cleveland, OH

Lead implementation of data streaming, processing, analytics, and monitoring infrastructure. Deploy and manage Kubernetes workloads (EKS/GKE), provision cloud infrastructure with Terraform, maintain CI/CD with Jenkins/ArgoCD/GitHub Actions, automate with Python, operate AWS/GCP data services, apply SRE practices, optimize costs, and collaborate across teams.

Design, build, and optimize AWS/Kubernetes infrastructure and CI/CD pipelines; troubleshoot production incidents; lead end-to-end infrastructure projects; establish deployment standards and operational procedures; mentor engineers; monitor observability, security, and access controls to reduce risk and improve developer productivity.

Seeking a Senior DevOps Engineer for OpenSesame, focusing on CI/CD pipelines, cloud infrastructure, and automation. Responsibilities include improving developer experience and mentoring teams.

The Senior DevOps Engineer manages cloud infrastructure using IaC, enhances CI/CD pipelines, mentors teams, and drives automation initiatives for improved developer experience.

Lead and mentor DevOps engineers while designing, operating, and improving CI/CD pipelines, developer tooling, infrastructure-as-code, Kubernetes and Kafka environments, and observability solutions. Partner with architecture, security, data, development, and product teams to improve application resiliency, uptime, performance, and operational best practices across SaaS production systems.

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Design, build, and maintain enterprise CI/CD and cloud platform infrastructure. Implement IaC (Terraform), GitOps pipelines (FluxCD/ArgoCD), Kubernetes and service mesh (Istio/Linkerd), and AWS services to deliver scalable, secure, highly available stateful and stateless applications. Collaborate on architecture, automate deployments, and support platform strategy.

Lead and own AWS infrastructure for an LLM-powered enterprise coaching product. Design scalable IaC (Terraform, Ansible), CI/CD, autoscaling, networking and security (SIEM, EDR/XDR). Optimize costs, ensure high availability, collaborate with application and AI teams, and implement enterprise-grade security and compliance for Fortune 500 deployments.

Own and improve security posture, design and maintain scalable AWS infrastructure with Terraform, embed with product teams to bake security into CI/CD, operate containerized workloads, and participate in on-call incident response to ensure resilient, high-volume browser rendering services.

Design, build, and operate secure, scalable cloud infrastructure and platform capabilities. Implement IaC, improve CI/CD, observability, and automation. Lead incident response, reliability, and DevSecOps practices. Mentor engineers, drive platform standardization, document runbooks, and participate in a 24/7 on-call rotation to support production systems and remediation of systemic infrastructure issues.

Designs and maintains AWS cloud infrastructure, CI/CD pipelines, Docker workloads, and IaC provisioning. Implements monitoring, logging, alerting, observability, security hardening, and code quality checks. Troubleshoots production issues, supports incident response and root-cause analysis, improves system reliability, and automates operational tasks. Collaborates with distributed engineering teams to establish infrastructure, deployment, monitoring, and SRE best practices.

Design, build, and manage scalable GCP cloud infrastructure, including compute, storage, networking, Kubernetes, monitoring, and IAM. Automate provisioning with Terraform, improve platform reliability, security, performance, and cost efficiency, and support disaster recovery. The role also documents infrastructure practices, collaborates across technical teams, and mentors junior engineers.

Leads operational support, incident management, troubleshooting, and reliability improvements for Snowflake and cloud-based data and AI platforms. Monitors ETL/ELT pipelines, performs root-cause analysis, develops automation, maintains runbooks, and advises clients on performance and operational strategy. Collaborates with engineering, analytics, architecture, and client teams while mentoring peers and supporting distributed 24/7 production environments.

Founding DevOps engineer responsible for establishing InfoTrust’s DevOps function, including production reliability, incident response, observability, CI/CD, infrastructure as code, AWS and Google Cloud infrastructure, cost management, database operations, backups, migrations, cloud security, and SOC 2 controls. This hands-on individual contributor will define standards, build automation, participate in on-call, and improve systems across reliability, delivery, data, cloud, and security.

Design, build, and maintain tools and services for Active Directory and cloud identity platforms. Implement security policies and access controls, collaborate on Azure and Google Workspace deployments, automate integrations via APIs and CI/CD, maintain runbooks, participate in on-call rotation, and support AWS infrastructure for production systems.

Design, implement, and maintain reusable engineering patterns, CI/CD, quality checks, observability, and release practices for data product delivery across dbt, Snowflake, and GitLab. Support incident response, environment management, and developer experience to enable trusted, maintainable production data pipelines at scale.

Design, deploy, and maintain reliable production and corporate systems; manage configuration, security, and core infrastructure; participate in on-call incident response; build automation, CI/CD pipelines, and Infrastructure-as-Code; monitor systems and develop tools to improve reliability and availability.

Design, build, and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code. Ensure security, compliance, monitoring, logging, and auditability for federal systems. Automate developer workflows, mentor engineers, improve processes, and support continuous delivery while meeting federal data-protection and compliance requirements.

Apply to join Galaxy Ventures' invite-only Talent Network for DevOps, SRE, QA, and Security professionals. Upon acceptance, your profile may be discreetly shared with portfolio companies for relevant roles, and you'll receive invitations to exclusive networking events. Participation is confidential and non-binding.

As a Senior DevOps Engineer, you will manage and optimize multi-cloud infrastructure, drive Infrastructure as Code, improve CI/CD processes, and enhance system reliability and performance.

Own and evolve Tenna's production platform: operate and improve AWS-based infrastructure (EKS, RDS/Aurora), lead incident response and RCA, implement IaC (AWS CDK), manage CI/CD (GitHub Actions), monitoring, cost optimization, and documentation to build a platform/developer-experience function.

Deploy, maintain, and automate application infrastructure on GCP using Kubernetes, Docker, Helm, ArgoCD, and Terraform. Build automation pipelines, support and troubleshoot in-house and third-party apps, document processes, and participate in on-call rotation.

Design, implement, and operate secure, scalable Linux infrastructure across on-prem and AWS with primary focus on Kubernetes/EKS. Build and automate IaC (Terraform/Ansible/CloudFormation), CI/CD pipelines (GitLab), monitoring/alerting, cluster upgrades, autoscaling, security hardening, multi-tenant isolation, and disaster recovery. Support container builds, GitLab Runners, RDS databases, compliance (SOX/SOC2), incident response, and on-call rotations while collaborating with development and QA teams to improve reliability and operational standards.

Responsible for implementing and managing infrastructure as code (Terracore/Terraform), automating CI/CD with Jenkins, managing AWS services and Amazon EKS/Kubernetes, scripting in Bash/Python, implementing monitoring and security best practices, supporting production via on-call rotations, and collaborating with development and QA teams.

Lead design and implementation of automated testing solutions and QA strategies. Build scalable automation frameworks, integrate tests into CI/CD pipelines, collaborate with cross-functional teams, and drive quality improvements across the software development lifecycle.