Top Remote Infrastructure Engineer Jobs in Denver & Boulder, CO

Designs and governs secure, scalable, highly available cloud architectures across public and hybrid environments. Establishes cloud networking, security, observability, infrastructure automation, disaster recovery, and business continuity standards. Partners with Engineering, Security, Compliance, and business teams on cloud-native designs, migrations, incident response, and root-cause remediation. Evaluates cloud technologies, maintains architecture documentation, guides implementation, and mentors engineers while ensuring infrastructure aligns with business and regulatory requirements.

Leads the design, automation, operation, and scaling of infrastructure across on-premises data centers, GCP, and AWS. Responsibilities include infrastructure as code, configuration management, networking, load balancing, DNS, monitoring, observability, distributed systems administration, documentation, technical direction, project leadership, and mentoring. The role requires deep Linux, hardware, networking, cloud, storage, backup, and Python automation expertise.

Design, build, and operate secure cloud-native and edge infrastructure for classified and commercial environments. Own end-to-end platform outcomes, harden artifact pipelines for signed builds across cloud and air-gapped deployments, embed with product teams to advise on secure deployments, and support compliance/audit activities (STIGs, CVE remediation) to enable operation in IL5/IL6/JWICS environments.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Designs, operates, and improves global enterprise infrastructure across cloud, systems, networking, identity, endpoints, and Internet technologies. Responsibilities include production changes, troubleshooting, incident response, root cause analysis, infrastructure reliability, hybrid cloud support, automation, infrastructure as code, documentation, and standardization. The role requires hands-on Azure, Entra ID, Intune, Windows, Linux, networking, and identity experience, along with collaboration across technical and business teams.

Owns Windows and Linux administration across a hybrid, multi-cloud environment. Designs and deploys enterprise infrastructure across multiple sites, administers Azure Government, Entra ID, Proxmox, storage, networking, and endpoint systems, and automates configuration with Ansible. The role also leads disaster recovery, compliance hardening, infrastructure security, on-call emergency response, and mentorship of junior engineers.

Designs, deploys, maintains, and operates global network infrastructure. Responsibilities include troubleshooting Layer 1–3 connectivity, managing hardware assets, coordinating datacenter installations and repairs, monitoring maintenance tickets, supporting deployment projects, and collaborating with field technicians, ISPs, vendors, and internal teams. The role requires regular domestic travel, lifting equipment up to 50 pounds, meeting strict SLA targets, and completing a USG Tier 3 background investigation.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Build and operate scalable ML infrastructure for data preparation, model training, evaluation, deployment, monitoring, and rollback. Develop AWS and Kubernetes platforms, reproducible pipelines, dataset and model versioning, observability, testing, security controls, and self-service tooling. Partner with autonomy, software, data, simulation, and security teams to support cloud-to-edge ML workflows and reliable production deployments.

Architect, deploy, and improve hybrid infrastructure across bare-metal, virtualized, private-cloud, public-cloud, and containerized environments. Build automation with Terraform, Ansible, and Consul; establish infrastructure standards; optimize cost, performance, reliability, and scalability; improve observability; and lead capacity planning, disaster recovery testing, and modernization initiatives while collaborating with CloudOps, Technical Operations, and Platform teams.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Leads Wasabi’s AI infrastructure, data factory, and developer partnerships strategy. Hunts and originates new relationships, develops joint go-to-market and co-selling motions, structures revenue-generating deals, and manages executive partner relationships. The role collaborates with Business Development, Sales, Marketing, and Product, builds the developer ecosystem, tracks pipeline and revenue performance, and represents Wasabi at industry events. Candidates need deep AI infrastructure and storage expertise, an established industry network, and a proven record of closing strategic partnerships.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

Lead cloud infrastructure, DevOps, CI/CD, build tooling, release management, testing pipelines, and data infrastructure for aerospace software teams. Develop reproducible workflows spanning firmware, spacecraft software, ground systems, and cloud services. Manage versioned datasets, ML training infrastructure, cloud reliability, security, and cost. Partner with engineering and mission operations teams, resolve complex system issues, contribute to architecture, and mentor engineers. The role may be onsite in Austin or Littleton, or remote with regular travel to Austin.

Deploy, integrate, operate, and optimize high-performance NFS storage for GPU-accelerated Kubernetes and AI platforms. Configure Linux storage and networking, integrate CSI storage into k0s and K0rdent clusters, automate provisioning through Terraform/OpenTofu and GitOps, and build observability for capacity, performance, and reliability. Diagnose end-to-end storage issues across hybrid, edge, and air-gapped environments while establishing operational standards.

Designs, builds, and operates secure, scalable AWS and Azure cloud infrastructure across multi-account environments. Develops Infrastructure as Code, CI/CD pipelines, automation, observability, and IAM governance. Supports production reliability, incident response, FinOps, FedRAMP and HIPAA compliance, and AI-assisted engineering practices. Partners with product, security, and engineering teams to establish cloud standards, guardrails, and reference architectures.

Owns the design, operation, resilience, security, and migration of HealthEdge’s hybrid cloud infrastructure across AWS, Azure, GCP, and on-premises environments. Responsibilities include Infrastructure as Code, disaster recovery, Kubernetes/EKS, IAM, server administration, CI/CD automation, monitoring, incident response, vulnerability management, compliance controls, cost governance, and technical documentation. The role participates in on-call support, leads infrastructure incident resolution, and guides teams on migration and recovery design.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

Design and scale infrastructure for cloud and on-premises deployments supporting enterprise AI workloads. Build containerized systems, Kubernetes and Docker Compose deployments, Helm charts, CI/CD pipelines, infrastructure automation, monitoring, and security solutions. Support customer production deployments, troubleshoot distributed systems, improve developer productivity, mentor engineers, and establish infrastructure standards across engineering teams.

Owns the design, operation, and improvement of infrastructure, build and release pipelines, CI/CD, and deployment automation. The role uses Terraform, Ansible, Helm, Go, Kubernetes, and DevSecOps practices across cloud, on-premises, air-gapped, and FedRAMP environments. Responsibilities include observability, secure endpoint exposure, runtime troubleshooting, software packaging, security-tool integration, and collaboration with Product and developers to deliver secure commercial software.

Own and lead Coinbase’s developer infrastructure platforms, including CI, build systems, and deployment orchestration. Set technical direction for complex cross-team initiatives, improve build and deployment performance, manage reliability and observability, and drive platform migrations and adoption. Partner with engineering leaders, operate production systems, mentor engineers, and deliver scalable tools used across the organization.

Operates and improves secure, highly available infrastructure across RHEL, Windows, Azure, and multi-cloud environments. Responsibilities include server and network installation, maintenance, monitoring, troubleshooting, patching, automation, middleware support, security, disaster recovery, vendor coordination, documentation, and on-call support. The role also leads technical projects, mentors junior staff, supports development environments, manages asset lifecycles, and participates in infrastructure planning and optimization.

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.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.