Top Remote Entry Level DevOps & Platform Engineering Jobs in Boston, MA

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.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

Designs and maintains Azure enterprise data infrastructure using Terraform and CI/CD pipelines. Implements multi-plane architectures, hybrid Azure-Google Cloud networking, secure platform services, Kubernetes workloads, identity and access controls, and centralized monitoring. The role supports Airflow, Milvus, Neo4j, GPU workloads, and healthcare-compliant environments with HIPAA, PHI, encryption, data residency, and secure SDLC requirements.

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.

Designs, implements, and manages secure, scalable cloud solutions primarily on GCP, including Gemini Enterprise and Vertex AI capabilities. Develops proofs of concept, deploys infrastructure using IaC, configures networking and security, troubleshoots platform issues, and supports AWS and Linux environments. Collaborates with engineering and cybersecurity teams, documents architectures, and provides effective user and operational support.

Administers and supports Omnissa Workspace ONE, Microsoft Intune, and macOS endpoints while developing ServiceNow and Power BI dashboards, KPIs, and executive reports. Automates reporting and operational workflows using Power Automate, PowerShell, Python, and APIs. Monitors endpoint compliance, system health, and security posture; partners with engineering, security, and operations teams; and documents incidents, resolutions, and change-management activities.

Designs and implements scalable Azure cloud architectures, automates infrastructure provisioning with Terraform, and oversees Azure DevOps CI/CD pipelines. Provides technical guidance, troubleshoots complex infrastructure issues, and optimizes cloud environments for performance, cost, security, and compliance. Collaborates with stakeholders and cross-functional teams, documents architecture and processes, conducts environment assessments, and delivers Azure training while driving cloud innovation and business objectives.

Designs, engineers, and supports secure, scalable Microsoft Azure infrastructure. Leads cloud network, identity, data protection, security, and modernization decisions while using Infrastructure-as-Code and cloud governance practices. Partners with engineering and security teams to deliver reliable, resilient, and cost-efficient environments. Responsibilities include IAM and RBAC, troubleshooting, root cause analysis, documentation, architecture diagramming, and evaluating emerging AI platforms and integrations.

Lead the architecture, deployment, configuration, hardening, and operation of Splunk ITSI in a government environment. Ingest and normalize security, application, and infrastructure telemetry; develop service health models, KPIs, dashboards, and event aggregation policies; troubleshoot Splunk data and alerts; and align monitoring with cybersecurity and vulnerability priorities. The role also requires documentation, training, knowledge transfer, secure configuration, operational validation, and coordination with government stakeholders.

Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.