Top Remote Infrastructure Engineer Jobs

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Lead the architecture, development, and operation of cloud infrastructure for an AI-native legal platform. Own CI/CD, developer tooling, Kubernetes and containerized workloads, AI infrastructure, observability, security, compliance, reliability, scalability, and cost optimization. Partner with engineering and product teams, establish infrastructure standards, and hire and mentor future infrastructure engineers while ensuring sensitive legal data is handled securely.

Own and improve Hex’s cloud infrastructure, CI/CD, observability, databases, security, cost management, and single-tenant deployment systems. The role involves selecting and delivering infrastructure projects, operating Kubernetes and AWS environments, scaling PostgreSQL, implementing infrastructure as code, and building customer-facing platform capabilities. Engineers are expected to handle on-call responsibilities, write application code when needed, and independently turn ambiguous infrastructure problems into shippable solutions.

Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations.

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.

Build reliable software and infrastructure for frontier AI agent research, including environment execution, trajectory collection, evaluations, experiment orchestration, data pipelines, and observability. Partner with research engineers to turn prototypes into reusable, tested systems; improve reproducibility, scalability, cost efficiency, and recovery from failed runs; and own infrastructure from design through operation.

Build and operate production GPU compute infrastructure across owned hardware, neocloud providers, bare metal, VMs, and containers. Own fleet strategy, provisioning, recovery, host hardening, workload isolation, provider integrations, hardware deployment, and cross-layer failure debugging. Translate heterogeneous GPU capacity into reliable, secure, operable infrastructure while balancing architecture, implementation, and production operations.

Own and improve Fluxx’s cloud infrastructure, CI/CD pipelines, Kubernetes platform, GitOps deployments, monitoring, logging, security, and operational resilience. Automate infrastructure with Terraform, manage AWS services and upgrades, build self-service tools, reduce bottlenecks, support SOC 2 remediation, optimize cloud costs, and participate in production on-call operations.

Lead the evolution of Seeq’s frontend infrastructure, including React systems, component libraries, state management, styling architecture, and reusable application patterns. Drive large-scale refactors, improve developer experience, ensure accessibility and performance, evaluate open-source tools, and establish technical standards adopted across teams. Collaborate with designers, product teams, and engineers through architecture reviews, documentation, code reviews, mentoring, and cross-team delivery.

Designs, configures, maintains, and troubleshoots enterprise network infrastructure across corporate and manufacturing environments. Responsibilities include managing switches, routers, firewalls, wireless systems, SD-WAN, cabling, and network security; resolving complex escalations; maintaining documentation and topology diagrams; supporting change management; installing equipment; and traveling to company sites. The role requires advanced networking expertise, Python automation, Windows and Linux proficiency, physical work in industrial environments, and occasional extended hours for critical incidents.

Build and operate a secure, self-service developer sandbox in Azure using Azure Virtual Desktop and Omnissa Horizon. Responsibilities include non-persistent desktop pools, golden image pipelines, Azure networking and inspected egress, identity and policy guardrails, infrastructure as code, endpoint security, logging, ephemeral resource automation, AI-assisted image promotion, documentation, and support handover.

Architects, deploys, and operates enterprise Kubernetes platforms across hybrid AWS and Azure environments. Supports containerized and virtualized workloads with KubeVirt, builds observability and DevSecOps capabilities, automates infrastructure through Terraform or Ansible, and manages GitOps workflows using Argo CD and Helm. Leads cloud modernization, governance, networking, security, compliance, and troubleshooting for bare-metal and hybrid clusters. Provides technical leadership through mentoring, design reviews, and cross-functional collaboration.

Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.

Own and improve Kit’s production infrastructure across AWS, Kubernetes, databases, networking, CI/CD, monitoring, and platform tooling. Lead upgrades, incident response, cost optimization, documentation, and self-service paved paths. Participate in a three-person on-call rotation and build reliable infrastructure that supports engineers, non-engineers, and AI agents.

Build and maintain infrastructure tooling for thousands of servers and distributed services. Responsibilities include host provisioning, configuration management, rapid code deployment, service monitoring, automated testing, linting, and infrastructure supporting high-volume real-time data pipelines. The role involves end-to-end project ownership, frequent code delivery, debugging complex distributed systems, and collaboration within a high-performing engineering team.

Own and evolve production infrastructure for AI workloads, including Kubernetes, cloud-native migrations, scheduling, orchestration, observability, infrastructure as code, deployment workflows, security, reliability, and incident recovery. Partner with engineering and business operations teams to build dependable platform capabilities. The role requires deep production Kubernetes experience, strong cloud and Linux fundamentals, architectural judgment, automation skills, and end-to-end ownership of infrastructure systems.

Design, operate, and evolve production GCP infrastructure, including GKE clusters, networking, IAM, shared services, and Terraform automation. Troubleshoot complex Kubernetes, Linux, networking, DNS, and distributed-systems issues; improve observability, security, scalability, reliability, and cost efficiency. Lead upgrades, migrations, architecture improvements, technical reviews, and mentorship while partnering with Platform Engineering, SRE, and Security teams.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based SQL routing components, connectors, and query infrastructure. Ensure data integrity under concurrency and failures, contribute to open-source projects, operate production systems, participate in on-call support, and debug customer environments.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Designs, deploys, migrates, secures, and operates production Azure infrastructure across hybrid VMware and Windows environments. Responsibilities include Azure networking, platform services, disaster recovery, migrations, Terraform automation, Azure DevOps pipelines, identity and governance, monitoring, cost management, troubleshooting, and compliance. The engineer supports application platforms including AKS, App Services, databases, and integrations while participating in incident response, change management, on-call duties, and occasional after-hours cutovers.

Design and maintain cloud infrastructure on GCP, manage Kubernetes, improve CI/CD pipelines, ensure reliability and security, and support rapid development cycles.

Build, automate, and operate scalable AWS infrastructure, including networking, compute, CI/CD, databases, and observability. Develop internal tools and self-service platforms, manage infrastructure with Terraform, collaborate with engineering teams, participate in on-call rotations, and replace repetitive operational work with software and permanent incident fixes.

Lead the design, operation, and modernization of large-scale infrastructure environments, including QEMU/KVM virtualization, private cloud, distributed storage, and infrastructure as code. Drive VMware-to-KVM migration, storage platform migration, monitoring, resilience, incident root-cause analysis, and automation. Mentor junior engineers, support CI/CD infrastructure, participate in on-call rotations, and provide technical leadership across distributed teams.

Owns production infrastructure across Kubernetes, CI/CD, Linux systems, virtual machines, and AI accelerator environments. Responsibilities include incident response, troubleshooting, automation, monitoring, alerting, patching, upgrades, certificate renewals, capacity checks, runbook development, and on-call support. The engineer collaborates across IT and product software teams and contributes to infrastructure design and build work.