Top Infrastructure Engineer Jobs in Denver & Boulder, CO

Administer and optimize Microsoft Azure and Microsoft 365 infrastructure, including compute, networking, storage, identity, Exchange Online, Teams, SharePoint, OneDrive, monitoring, security, and backup. Automate administrative tasks with PowerShell and Microsoft Graph, troubleshoot incidents, support hybrid environments, document operations, and collaborate with cybersecurity, compliance, service desk, and business teams. The role also contributes to governance, service reliability, licensing, cost optimization, and on-call support.

Develop and maintain infrastructure for rapid software prototyping and deployment across cloud, private cloud, and bare-metal environments. Manage servers and Kubernetes clusters, configure GPU systems for large language models, optimize performance, build monitoring and alerting, and advise on localized data-center deployments. The role also requires software engineering, Linux administration, security awareness, automation, and collaboration across international teams.

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

Designs, deploys, and manages secure, scalable cloud infrastructure across AWS, Azure, or hybrid environments. Responsibilities include cloud networking, API gateways, IAM, Kubernetes and EKS administration, infrastructure automation, monitoring, disaster recovery, security, compliance, incident troubleshooting, and performance optimization. The role collaborates with application, platform, security, and DevOps teams while maintaining infrastructure standards and documentation.

Design, build, operate, and improve cloud infrastructure, deployment systems, observability, developer tooling, and distributed systems. Own infrastructure products end to end, manage systems with Terraform, support scalable AWS and Kubernetes environments, operate Redis/ElastiCache, participate in incident response, improve reliability and performance, and mentor engineers while collaborating across teams.

Own infrastructure, deployment, operational tooling, observability, deploy safety, and incident response for latency-sensitive institutional trading systems across cloud and colocated environments. Improve reliability, performance, and developer velocity; reduce single points of failure; establish operational standards and automation; partner with engineering, product, markets, and SRE; and mentor engineers in a 24/7 production environment.

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, 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.

Deploy, configure, secure, automate, and maintain enterprise infrastructure across global facilities. Responsibilities include virtualization, cloud, storage, networking, operating systems, backups, disaster recovery, site surveys, hardware configuration management, security remediation, documentation, and technical troubleshooting. Senior and SME levels lead major deployments, establish infrastructure standards, mentor teams, and provide strategic technical guidance. The role requires active Secret clearance and up to 10% local travel.

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.

Build and scale Netflix TVUI test infrastructure, including orchestration services, CLI tools, device fleets, observability, and large-scale test execution. Develop screenshot, end-to-end, performance, and on-device testing capabilities; improve parallelization, sharding, test selection, stability, and runtime performance. Own system reliability, incident response, and strategic infrastructure investments while collaborating with TV UI engineers across a distributed team.

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.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

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 maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

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.

Designs, automates, and supports infrastructure and DevOps capabilities for a complex software application. Responsibilities include cloud platform management, infrastructure as code, CI/CD pipeline development, scripting, troubleshooting, security hardening, container orchestration, and collaboration with distributed Agile teams. The role requires AWS or equivalent cloud experience, DevSecOps expertise, and an active TS/SCI clearance with polygraph.

Design and build Kubernetes-based LLM serving infrastructure, including GPU scheduling, scaling, model lifecycle management, Helm packaging, enterprise and offline deployments, API integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help guide engineering direction. The role requires strong Kubernetes, distributed systems, CI/CD, and infrastructure-as-code expertise, with GPU, inference, or adjacent systems experience.

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.

Develop and operate Airbnb’s large-scale cloud infrastructure platform, including Kubernetes, developer APIs and CLIs, autoscaling, capacity management, and cloud automation. Build secure, reliable, scalable, and highly available distributed systems using public cloud technologies. Optimize existing infrastructure, improve performance and operational efficiency, troubleshoot production systems, and collaborate across engineering teams and open-source communities.

Lead design and implementation of infrastructure automation, IaC, CI/CD, SRE, and DevSecOps. Drive platform standards, performance tuning, capacity planning, disaster recovery, and complex troubleshooting. Mentor junior engineers, build documentation and knowledge base, and collaborate with cross-functional teams to optimize scalable, highly available infrastructure.

Install, configure, and support storage hardware, software, and services for high-performance computing and data-intensive research. Design secure, scalable, high-throughput storage infrastructure using object, block, distributed file, and cloud storage. Diagnose technical issues, develop hardware configurations, collaborate with researchers and cross-functional teams, and evaluate emerging storage technologies. The role also requires Linux systems engineering, NAS, backup software, scripting, and infrastructure automation expertise.

Build and maintain scalable infrastructure for AI agents, app building, hosting, SDKs, and an enterprise platform. Design distributed, multi-tenant, data-intensive services; develop clean, maintainable code in monorepos; and independently ship customer-impacting changes. The role uses TypeScript, React, containers, Postgres, Redis, Temporal, and related cloud and AI technologies. Candidates should demonstrate strong system design, architecture, data modeling, API design, product sense, and advanced AI-assisted development skills.