Top Remote Infrastructure Engineer Jobs in Denver & Boulder, CO

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

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.

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.

The Senior IT Infrastructure Engineer will enhance automation and integration efforts while managing cloud services, CI/CD pipelines, and Kubernetes operations.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

The Lead Infrastructure Engineer will define and build infrastructure at Atticus, managing platforms, security, reliability, and empowering engineering teams.

Seeking a Senior/Staff Platform Engineer to enhance developer experience, manage infrastructure, and ensure security compliance in a healthcare tech startup.

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.

Build, operate, and secure cloud-native and edge infrastructure including Kubernetes, artifact pipelines, application streaming, and air-gapped appliances. Partner with product, GRC, and mission owners to design, deploy, and harden systems, remediate vulnerabilities, support audits (IL5/IL6/JWICS), and ensure trusted artifact delivery across environments.

Design, build, and run secure production infrastructure across cloud-native and air-gapped deployments. Own end-to-end platform outcomes, harden the artifact pipeline for signed releases, embed with teams to advise on security and deployment best practices, and partner with GRC on STIGs, CVE remediation, and audit readiness for classified environments.

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

As a Security Engineer II, you will design and implement security controls for cloud and infrastructure systems, partner with teams to identify risks, automate security processes, and respond to production security issues.

The Staff DevOps Engineer will design and operate infrastructure for development environments, implement quality gates, and build internal tools for observable pipelines, collaborating with teams to enhance automation and development processes.

The Infrastructure Engineer is responsible for building and maintaining deployment automation, CI/CD pipelines, and ensuring the operational health of production deployments across federal environments, focusing on automation and compliance.

As a Database & Infrastructure Engineer, you will optimize PostgreSQL infrastructure, improve performance, build internal tools, and design data delivery pipelines for a large-scale application.

The Staff Cloud Infrastructure Engineer is responsible for designing, automating, and managing cloud infrastructure using AWS and tools like Terraform. This role involves collaborating with engineering teams, ensuring security, and mentoring others, all while building reliable and scalable systems.

Seeking a senior or staff level infrastructure engineer to build and maintain scalable infrastructure for AI software development, including app hosting and SDK integration.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

Design and implement a virtual access layer to enable remote use of a physical AI lab, building scalable, secure infrastructure to process 100,000+ documents/day with LLMs, optimize GPU/LLM throughput, provide customizable interfaces, implement authentication/access controls, and lead projects from design to production.

Design, implement, and maintain global hybrid infrastructure integrating Azure, Microsoft 365, and on-prem Windows. Administer identity, endpoint management (Intune, Jamf, SCCM), Azure IaaS, networking, core services (AD, DNS, DHCP), monitoring, and patching. Lead governance, documentation, disaster recovery, mentor junior engineers, and participate in on-call rotation while ensuring security, scalability, and operational excellence.

Design, implement, and maintain on-premises and Azure infrastructure including VMs, networking, identity, and core services. Lead virtualization and migration efforts, ensure security and scalability, develop runbooks and standards, mentor engineers, and participate in on-call support and major infrastructure projects.

Design, engineer, and support enterprise Red Hat Linux (RHEL) environments across physical, virtual, and cloud platforms. Lead OS lifecycle management, automation (Ansible, scripting), security hardening, and compliance. Troubleshoot complex OS, performance, storage, network, and application issues. Support virtualization and container platforms, serve as senior escalation, mentor junior engineers, participate in on-call rotations, and drive infrastructure modernization.

Deploy, operate, and debug AI systems inside client infrastructure. Own production readiness, networking, observability, cost controls, IaC (Terraform/Pulumi), CI/CD and stakeholder management with client IT/DevOps to ensure scalable, governable AI deployments.

Design, build, and maintain internal infrastructure and shared engineering services. Improve observability, CI/CD, and automation, operate cloud-managed services and VMs, participate in incident response, and collaborate with product and customer-facing teams to enable data-driven decisions and scalable systems.

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.