Top Remote Infrastructure Engineer Jobs

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

Designs and manages scalable GCP infrastructure using Terraform, builds CI/CD automation, optimizes cloud performance and costs, and ensures reliability, security, and high availability. The role requires deep GCP and Terraform expertise, production cloud experience, incident troubleshooting skills, and familiarity with CI/CD platforms, containers, Kubernetes, Atlantis, IAM governance, and compliance auditing. Applicants must be U.S. citizens residing in the United States.

Designs, deploys, secures, and maintains AWS cloud infrastructure supporting UiPath RPA operations. Responsibilities include EC2, WorkSpaces, networking, IAM, certificates, HSMs, SCCM, Kubernetes/EKS, containers, Infrastructure as Code, monitoring, patching, disaster recovery, troubleshooting, documentation, and user support. The role collaborates with RPA, security, and customer teams, supports geographically dispersed users, participates in on-call rotations, and requires Secret clearance eligibility and U.S. citizenship.

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.

Independently manages AWS infrastructure, Terraform-based deployments, cloud security, IAM, access controls, DevSecOps, production monitoring, compliance, SOC 2 audits, vulnerability remediation, disaster recovery, endpoint security, and SageMaker environments. Supports segregation of duties, secure client onboarding, security training, documentation, and production troubleshooting across remote, US business hours.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Owns the design, administration, security, modernization, and recovery of Liquidia’s hybrid IT infrastructure across Azure, servers, virtualization, storage, and enterprise networks. Provides hands-on engineering, roadmap development, disaster recovery, patching, automation, vendor direction, documentation, and onsite support for manufacturing and laboratory systems. Ensures infrastructure complies with SOX, GxP, and 21 CFR Part 11 requirements while coordinating qualification, validation, change control, and infrastructure improvement initiatives.

Build, secure, scale, and maintain cloud infrastructure supporting SaaS products, databases, storage, search, microservices, and machine-learning pipelines. Operate Kubernetes workloads, automate infrastructure with Terraform and Helm, improve reliability and observability, optimize costs, define SLOs and SLAs, participate in incident response and on-call rotations, address vulnerabilities, support customer security integrations, and maintain compliance with SOC 2, HIPAA, and GDPR requirements.

Own and lead the big data infrastructure platform, including deploying, upgrading, and operating HDFS, object storage, Iceberg, monitoring, and alerting. Drive infrastructure modernization, migrate Iceberg catalogs, implement multi-tenant quotas, improve observability, and support large-scale data architecture changes. Collaborate with a parallel infrastructure engineer, share solutions, provide coverage, and influence platform architecture.

Automates, hardens, deploys, and upgrades Windows Server infrastructure in AWS GovCloud. Builds hardened AMIs, provisions EC2 instances, automates patching and compliance, manages phased upgrades and rollback, integrates infrastructure automation with CI/CD, and documents configurations and runbooks. Requires strong PowerShell, Windows administration, AWS, infrastructure-as-code, and DevSecOps experience, plus eligibility for Public Trust clearance.

Leads development of complex public-private partnership infrastructure projects from concept through financial close. Develops facility management, operations and maintenance solutions; optimizes building systems and lifecycle costs; creates budgets, timelines, staffing plans, cost estimates and business cases; influences design teams; supports proposals, customer presentations, risk mitigation and contract development; and coordinates transition to operations. Requires extensive facility management, engineering, energy management, construction or O&M leadership experience, including utility or combined heat and power plant expertise.

Build and operate reliable, scalable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Own cloud networking, IAM, secrets, observability, disaster recovery, cost optimization, and platform resilience. Improve deployment practices, eliminate manual toil, lead incident response and postmortems, modernize legacy infrastructure, and partner with engineering teams to deliver secure, reproducible systems. The role is remote with travel to Orlando at least twice annually.

Secure Runpod’s multitenant GPU cloud infrastructure across bare-metal and virtualized environments. Responsibilities include designing workload and network isolation, hardening Linux kernels and container platforms, testing hypervisor and hardware security, developing low-level controls in C, Go, or Rust, securing GPU and PCIe interactions, and responding to infrastructure security incidents with forensic capabilities for ephemeral containers.

Build automation for NVIDIA switches and InfiniBand fabrics, including configuration management, drift reconciliation, NAT gateways, L4 load balancing, and resilient network control loops. Define large-scale network behavior around BGP, convergence, failover, and production failures. Lead technical direction, design standards, and customer deployments while writing production software in Go or Python for AI infrastructure.

Build and operate infrastructure and shared engineering services for internal teams and Tailscale’s product. Responsibilities include improving observability, CI/CD, cloud infrastructure, managed services, Kubernetes, and service automation; designing, testing, and documenting software components; participating in incident response; supporting customer escalations; and improving system efficiency, scalability, and stability.

Own NVIDIA’s config-as-code foundation for its EDA compute farm. Design LSF deployment schemas, build federated deployment pipelines with staged rollout and rollback, eliminate configuration drift, and create regression testing for scheduled LSF upgrades. Partner with an LSF specialist to encode scheduler expertise into templates and policies. The role also requires infrastructure automation, GitOps at scale, tooling development in Go, Python, and shell, and management of stateful production infrastructure.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Lead development and improvement of ASIC integration, build, simulation, CI, and debug infrastructure for high-speed IO GPU IP. Apply automation, metrics, and AI-assisted workflows to improve reliability, turnaround, and debuggability. Collaborate across design, verification, firmware, methodology, and infrastructure teams to root-cause failures and deliver durable process improvements.

Deploys and validates complete AI infrastructure software stacks on multi-node GPU systems, then converts implementations into technical documentation, automation, demos, training, and reference architectures. Tests prerelease software, evaluates interoperability and operational resilience, supports partners and field teams, collaborates with engineering and open-source communities, and recommends product improvements based on customer feedback. The role presents solutions through briefings, workshops, webinars, events, and internal training, with some travel required.

Own and optimize IBM Spectrum LSF scheduling across 15–25 federated cells. Diagnose scheduler latency, MultiCluster forwarding and cross-cluster contention, design scalable cell topology, and encode scheduler policy through infrastructure as code. Partner with CAD and methodology teams on large-scale EDA workloads, license constraints, and tape-out bursts. Requires deep LSF internals expertise, production MultiCluster experience, strong Linux fundamentals, and Python, Perl, and shell scripting skills.

Design, deploy, maintain, tune, and secure enterprise Linux environments supporting high-performance EDA compute farms. Lead infrastructure-as-code automation, configuration management, continuous deployment, and tooling development using Python, Bash, or Go. Manage LDAP/SSSD naming services, NFS and Autofs storage, virtualization, container infrastructure, registries, networking, and infrastructure telemetry. Support highly available, scalable systems and potentially integrate cloud platforms, CI/CD pipelines, EDA toolchains, and HPC clusters.

Design, deploy, operate, and automate reliable large-scale EDA infrastructure services on NVIDIA hardware. Build tools that reduce manual work, support distributed private and public cloud systems, define service-level objectives, improve observability, and participate in incident response and on-call rotations. The role also provides systems-design guidance to peer teams and may involve Kubernetes, OpenStack, Docker, Slurm, multi-cloud infrastructure, networking, storage, and GPU-based systems.

Design and operate large-scale infrastructure supporting GPU- and CPU-based EDA workloads. Build automation for provisioning, configuration, deployment, lifecycle management, monitoring, health remediation, cluster enrollment, and recovery across Linux compute fleets. Integrate services with schedulers, infrastructure systems, and observability platforms. Participate in incident response, root-cause analysis, capacity planning, and reliability improvements while collaborating with EDA, networking, storage, and hardware teams.

Develop scalable distributed storage management systems for NVIDIA’s large-scale engineering infrastructure. Collaborate with hardware and software teams to define features, optimize workflows, improve software design and testing, and deliver reliable storage solutions. The role requires Linux, storage systems, networked distributed systems, Perl, and Python expertise, with responsibility for architectural decisions balancing cost, performance, reliability, and scalability.