Top Entry Level DevOps Jobs in Baltimore, MD

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.

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.

Build and maintain CI/CD pipelines, provision infrastructure with Terraform, and manage AWS cloud services and containerized environments. The role supports Kubernetes, Argo Workflows, AI engineering platforms, secure infrastructure baselines, and internal developer tooling. The engineer partners with architecture and development teams to deliver reliable, scalable infrastructure patterns while documenting decisions and collaborating in an Agile remote environment.

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.

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.