Top Hybrid DevOps & Platform Engineering Jobs

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Own Brain Co.’s developer platform, including development environments, monorepo tooling, build systems, CI/CD, code-review automation, and engineering workflows. Measure and reduce developer friction through instrumentation and user feedback. Improve reliability, onboarding, adoption, and delivery speed across cloud, regulated, and air-gapped environments. Integrate AI-assisted development tools, support migrations, and operate the platform through its full lifecycle.

Own the design and implementation of Azure platform infrastructure for secure, repeatable enterprise AI deployments. Build IaC modules, identity and security controls, networking, CI/CD automation, observability, reliability tooling, and customer environment automation. Partner with product engineers and enterprise teams to standardize deployments across complex Azure environments, including decisions involving containers, scaling, resilience, isolation, and cost.

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.

Architects, automates, tests, deploys, and maintains highly available Kubernetes infrastructure across cloud, on-premises, offline, and secure environments. Owns Kubernetes deployment strategy, DevSecOps practices, secure networking, monitoring, performance, availability, and compliance. Collaborates with software engineers and customers on architecture deployments, cloud-native services, CI/CD, infrastructure as code, and distributed systems within an Agile Scrum environment.

Designs, builds, and operates resilient cloud infrastructure for reliable production services. Responsibilities include improving SLOs, automating deployments and operational tasks, managing incidents and on-call processes, optimizing performance and costs, implementing monitoring and alerting, supporting security and compliance, and advising on system architecture and software development.

Designs, implements, and supports cloud infrastructure, Kubernetes platforms, CI/CD systems, databases, observability, and large-scale microservices. Troubleshoots Linux and infrastructure issues, improves reliability and scalability, establishes development lifecycle standards, and manages AWS or GCP environments using Terraform. Collaborates with security, IT, finance, product, and engineering teams on delivery, compliance, cost optimization, and infrastructure roadmaps. Provides technical guidance, interviews candidates, and shares platform engineering knowledge.

Lead hybrid cloud platform strategy and execution as product owner: roadmap, migrations, hybrid architectures, automation/IaC, cost optimization (FinOps), stakeholder engagement, technical leadership, and documentation to support modernized, high-availability workloads.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.

Leads enterprise DevOps, integrations, databases, applications, cloud infrastructure, cybersecurity coordination, and manufacturing technology platforms. Oversees architecture, automation, API governance, Oracle environments, SCADA systems, production support, modernization, disaster recovery, security, and operational readiness. Manages multidisciplinary blended teams, vendors, budgets, capacity, performance metrics, and continuous improvement while driving Factory 4.0 and AI platform initiatives.