Top Entry Level DevOps Jobs in Baltimore, MD

Build and maintain scalable production infrastructure, CI/CD pipelines, and cloud platform capabilities. Design infrastructure architecture, automate manual processes, manage Kubernetes-based environments, scale databases and messaging systems, and monitor production services. The role partners with engineering teams across the product lifecycle and uses infrastructure as code, Helm, cloud technologies, and open-source tools to improve reliability, delivery, and developer experience.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Deploy and maintain secure, reliable software across high-performance computing environments. Build infrastructure automation with Ansible and Python, deploy containerized services using Kubernetes and Helm, maintain GitOps deployment pipelines, and lead Tier 3 escalations. Investigate infrastructure issues, identify root causes, develop automated remediation, and produce comprehensive technical documentation including runbooks, installation guides, and architectural diagrams.

Build and automate production HPC infrastructure using Infrastructure as Code, Ansible, Python, containers, Kubernetes, and GitOps practices. Prepare releases, maintain and troubleshoot pipelines, create Helm charts, and support secure deployments. Serve as a Tier 3 escalation lead, partnering with Operations and Maintenance teams to resolve complex infrastructure issues, identify root causes, and develop automated fixes. Produce technical documentation, runbooks, installation guides, and architectural diagrams.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Deploys and maintains distributed web applications and virtual machine environments using Linux, AWS, Docker, Terraform, Ansible, GitLab CI/CD, and related technologies. Responsibilities include container orchestration, infrastructure provisioning, configuration management, scripting, troubleshooting, and supporting data and application platforms. The role requires an active TS/SCI clearance with polygraph and permits up to one telework day per week.

Deploy and operate containerized systems across three network environments using Kubernetes. Build repeatable CI/CD deployment processes, modify Java Spring and Vue.js applications, troubleshoot infrastructure through application layers, and collaborate with DevOps, software, and systems engineers. The role also involves Linux administration, Git, Docker, and potentially AWS, Terraform, Ansible, Python, Elasticsearch, NiFi, and MongoDB.

Develop and maintain automated infrastructure and software solutions across Linux systems, Kubernetes environments, CI/CD pipelines, and physical data-center hardware. Build Python or PowerShell scripts, Ansible playbooks, and infrastructure automation workflows. Troubleshoot issues spanning applications, operating systems, containers, networking, and hardware while improving reliability, scalability, performance, and security. Document technical procedures and collaborate with cross-functional engineering teams.

Deploy and sustain mission-critical production systems across multiple network environments. Manage Kubernetes-based containerized applications, build repeatable CI/CD deployment processes, modify Java Spring and Vue.js components, troubleshoot infrastructure through application layers, and collaborate with DevOps, software, and systems engineering teams. The role requires onsite work in Annapolis Junction with limited remote flexibility and an active TS/SCI clearance with full-scope polygraph.

Loti AI seeks a DevOps engineer for decentralized infrastructure to deploy, scale, and maintain distributed systems, manage IPFS clusters, and oversee blockchain nodes.

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.