Top Infrastructure Engineer Jobs in Denver & Boulder, CO

Build and operate secure, scalable platform infrastructure for AI-driven applications across cloud, on-premises, and edge environments. Own SRE practices, CI/CD, deployment automation, observability, performance optimization, incident response, and reliability improvements. Develop Python-based internal tools, partner with software teams on production readiness, and support customer-site installations and lifecycle operations. The role also emphasizes security, compliance, developer productivity, and distributed-system troubleshooting.

Build and operate AWS cloud infrastructure using Terraform/OpenTofu and Spacelift. Lead multi-account architecture migrations, develop reusable infrastructure modules, improve reliability and disaster recovery, support compliance, troubleshoot cloud environments, and automate recurring issues. Partner with engineering teams, strengthen observability and incident response, and participate in an internal infrastructure support on-call rotation. The role also drives multi-quarter platform initiatives with significant autonomy.

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 infrastructure supporting AI model training, inference, and product platforms. Responsibilities include managing Kubernetes and GPU clusters across cloud and on-premises environments, provisioning compute and networking, operating databases and Kafka, developing Python-based automation and self-service tooling, and leading cloud migrations and platform improvements focused on reliability, security, and cost efficiency.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Owns enterprise VDI platforms across Citrix, Azure Virtual Desktop, and Omnissa Horizon. Responsibilities include image and catalog lifecycle management, profile and session troubleshooting, access-layer administration, incident leadership, capacity planning, automation, root cause analysis, change management, project delivery, client communication, and mentoring. The role requires deep expertise in at least one VDI platform, Windows administration, underlying compute and networking, scripting, APIs, and multi-client managed services experience.

Operates and maintains enterprise virtualization platforms across multiple client environments. Responsibilities include VMware Cloud Foundation, NSX, ESXi, vCenter, vSAN, capacity planning, performance troubleshooting, lifecycle management, incident leadership, automation, migrations, root cause analysis, change management, documentation, and client communication. The role also supports KVM and Hyper-V environments, leads virtualization projects, and mentors junior engineers.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Leads the planning, design, and engineering of enterprise cloud infrastructure and platforms. Serves as a subject matter expert, managing complex projects, developing technical solutions, influencing infrastructure practices, and coordinating across departments. Coaches and delegates work to junior professionals while providing direction on strategy, processes, and complex technical issues. Requires broad expertise across software, hardware, data structures, communications technology, and cloud deployment models, with at least eight years of functional experience.

Engineer and support enterprise Windows, virtualization, storage, backup, and datacenter infrastructure across multiple environments. Responsibilities include designing and implementing systems, managing virtualization clusters, configuring storage and disaster recovery solutions, supporting high-availability platforms, troubleshooting escalated infrastructure issues, documenting architectures, collaborating with networking and security teams, and mentoring colleagues. The role requires hands-on datacenter work, on-call availability, and occasional travel.

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.

Designs cloud architecture and Infrastructure as Code, builds CI/CD and DevSecOps pipelines, and deploys systems to AWS and air-gapped environments. Monitors services using OpenTelemetry, Sentry, and SigNoz; manages secrets and configuration; enforces CMMC compliance; and supports bare-metal infrastructure, networking, identity providers, and Kubernetes platforms.

Build and operate low-latency, event-sourced trading infrastructure for Coinbase’s institutional exchange, including matching engines, order management, risk, market data, and funding systems. Own reliability, correctness, incident response, and failover for high-throughput 24/7 production systems. Drive technical designs, collaborate cross-functionally on milestones, and write highly tested performance-critical backend code in Java, C++, or Go.

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.

The Cloud Infrastructure Engineer will oversee cloud architecture and solutions for clients, modernizing IT systems and managing container applications within classified environments.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Leads an infrastructure engineering team responsible for designing, building, maintaining, monitoring, and securing IT systems across cloud and data center environments. Sets goals, assigns work, manages staffing and 24/7 coverage, mentors engineers, coordinates projects, supports customers, manages budgets, and reports risks and performance to management. Requires strong infrastructure expertise, Agile experience, communication skills, and the ability to coach technical teams.

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.

Design and build software for global network infrastructure, including automation, orchestration, provisioning, device lifecycle management, telemetry, validation, and remediation. Integrate DPUs, SmartNICs, and programmable networking into scalable cloud infrastructure. Lead architecture, RFCs, technical proposals, and complex initiatives while mentoring engineers and setting technical direction across network, hardware, compute, storage, and security teams.

Designs, builds, and operates secure, scalable cloud infrastructure, deployment pipelines, and operational systems. Owns infrastructure architecture, provisioning, CI/CD, infrastructure-as-code, automation, observability, reliability, cost optimization, and incident response. Leads SRE practices, resolves complex production issues, supports distributed systems and microservices, and collaborates with Product and Engineering teams. Participates in on-call rotations and drives durable solutions that improve platform availability and performance.

Lead technical direction for a central infrastructure team supporting all product engineering. Design and maintain AWS infrastructure, Terraform modules, CI/CD workflows, observability, security, networking, cost-visibility tooling, and operational platforms. Coordinate multiple initiatives, improve reliability and incident response, establish paved roads adopted by feature teams, guide infrastructure strategy, and coach engineers across the organization.