Top Remote Infrastructure Engineer Jobs

Operate and scale large GPU infrastructure platforms, including Linux systems, bare-metal environments, provisioning workflows, observability, and reliability automation. Responsibilities include platform deployment, incident response, break/fix operations, customer provisioning, on-call participation, infrastructure troubleshooting, and collaboration across engineering, networking, customer success, and software teams. The role also develops automation to reduce manual work and improve operational efficiency.

Manage and scale on-prem infrastructure, automate workflows, ensure system reliability, and collaborate on CI/CD pipelines in a hybrid role.

Provide expert cloud computing guidance to support PAC hybrid computing efforts for government customers. Advise on cloud technologies and services, recommend architectures and best practices, and support implementation and operations for commercial and government cloud environments.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

As a Senior System Engineer, you'll design, deploy, and manage Azure infrastructure, focusing on cloud migration, automation, security, and collaboration with development teams to optimize resources and ensure compliance.

Design and build key components for the Lightning Network, focusing on automated channel management tools and network monitoring.

The Staff Infrastructure Engineer will design and implement a scalable virtualization platform for high-performance AI workloads, manage VM lifecycles, optimize virtualization for performance, troubleshoot systems, and contribute to long-term architecture.

The Infrastructure Engineer will design and implement advanced cloud infrastructure, manage Kubernetes, establish engineering standards, and support IoT deployments in manufacturing environments while driving automation and mentoring teammates.

The role involves benchmarking infrastructure performance, designing tests, debugging customer trials, and maintaining benchmarking infrastructure while ensuring clear documentation and communication.

As an Infrastructure Engineer at Railway, you will develop system-level software, focusing on distributed systems and efficiency, building scalable services using Golang or Rust, while ensuring high performance and resilience.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Design and manage Kubernetes control plane architecture while ensuring platform reliability across regions. Troubleshoot incidents, scale deployments, and collaborate with teams for optimal infrastructure performance.

The Infrastructure Engineer will build and maintain cloud infrastructure, develop CI/CD pipelines, ensure security compliance, and optimize system performance for healthcare applications.

The Infrastructure Engineer will build and maintain core services and infrastructure using Terraform and Kubernetes, ensuring high reliability and performance. Responsibilities include troubleshooting databases, managing AWS deployments, and supporting the product engineering team.

Deploy, operate, and support the Istari platform across customer environments, including cloud, on-premises, Kubernetes, and air-gapped deployments. Configure infrastructure as code, networking, identity federation, IAM, secure data sharing, and production services. Troubleshoot complex infrastructure issues, build reference architectures, and communicate with technical and non-technical customer stakeholders. The role requires strong DevOps and Kubernetes expertise, automation skills, customer-facing consulting experience, and familiarity with regulated environments.

Own and improve AWS cloud infrastructure, security operations, deployments, backups, disaster recovery, observability, and availability. Partner with developers and customer success on enterprise deployments, SSO integrations, and infrastructure solutions. Lead SOC 2 and ISO 27001 compliance, penetration testing, security improvements, incident response, and blameless postmortems. Automate CI/CD and infrastructure operations while supporting secure, scalable, multi-tenant SaaS and self-hosted environments.

Designs and implements security controls across cloud platforms, operating systems, Kubernetes, networks, and CI/CD. Audits infrastructure for weaknesses, develops security and privacy improvements, performs threat modeling, and drives remediation. The role includes software development, infrastructure security, incident containment, and technical security analysis while collaborating with engineering teams in a distributed startup environment.

Designs, deploys, maintains, and troubleshoots resilient infrastructure supporting Oracle Utilities software for clients. Responsibilities include Linux server configuration, networking, firewalls, VPNs, hardware and software tuning, connectivity troubleshooting, root-cause analysis, process improvement, metrics, client communication, technical support, and on-call incident response. Preferred work includes WebLogic administration, virtualization, backup systems, Oracle Database administration, Active Directory, DNS, and Microsoft Office support. The role is remote within the United States with occasional travel for go-lives, incidents, and data center work.

Lead technical strategy and delivery for mobile app infrastructure, owning shared components (design system, networking, CI/CD, observability, releases, tooling). Collaborate cross-functionally, set code/design standards, ensure operational readiness and on-call processes, mentor engineers, and drive large, business-impacting projects and migrations across the JS↔native boundary.

Operate and scale Kubernetes GPU clusters supporting frontier AI research. Responsibilities include node lifecycle management, batch scheduling, multi-tenancy, storage, fault-tolerant distributed training, security hardening, infrastructure as code, observability, provider integration, and direct infrastructure support for research teams. The role requires production Linux and Kubernetes experience, programming ability, and ownership of large-scale GPU, HPC, or batch infrastructure.

Operate, maintain, and improve secure, highly available server, network, and middleware infrastructure. Install, configure, monitor, troubleshoot, automate, and document systems; support on-call rotation and disaster recovery; manage job schedulers and vendor relationships; plan capacity and upgrades; mentor junior staff and support multi-cloud workloads.

Own Alkira’s global platform infrastructure, including Kubernetes clusters, CI/CD systems, shared databases and storage, service lifecycle, disaster recovery, Terraform modules, observability, and production tooling in Go or Python. Drive architectural decisions, cost reduction, reliability, security, and multi-team platform adoption while mentoring engineers and participating in on-call support.

Build and operate CrewAI’s cloud and enterprise infrastructure across AWS, Azure, and GCP. Develop CI/CD pipelines, deployment automation, observability, security controls, self-hosted installation tooling, and reliability processes. Support containers, Kubernetes, databases, queues, networking, secrets, and production workloads. Participate in incident response and on-call operations while partnering with runtime and product engineering teams to improve deployment safety, scalability, and customer production environments.

Drive technical sales for Azure cloud and AI infrastructure solutions. Lead architecture sessions, workshops, demos, proofs of concept, and migration or modernization initiatives. Design secure, scalable hybrid-cloud architectures for Windows, SQL, Linux, PostgreSQL, Oracle, and enterprise applications. Advise customers on networking, resiliency, compliance, containers, AKS, Azure Arc, SAP, VMware, and partner technologies while collaborating with engineering and business stakeholders.