Top Remote Infrastructure Engineer Jobs

Leads infrastructure engineering initiatives focused on wireless and WAN networking, including architecture, implementation, modernization, incident leadership, automation, and cloud migration. Advises on complex infrastructure issues, coordinates stakeholders and vendors, ensures compliance, security, resiliency, and auditability, and mentors engineers. Uses validated enterprise AI capabilities to analyze infrastructure signals, recommend mitigations, and improve operational processes.

Leads enterprise network access control infrastructure engineering, including ForeScout/CounterACT architecture, deployment, policy design, phased enforcement, integrations, telemetry, and operational ownership. Partners across application and infrastructure teams to resolve complex issues, manage capacity risks, modernize technology processes, and implement compliant, secure, resilient solutions. Uses Python, Ansible, and validated AI-assisted practices to improve automation and infrastructure workflows.

Designs, builds, and operates global remote access infrastructure for virtual desktops and applications. Owns reference architecture, configuration standards, capacity planning, regional resiliency, failover, security hardening, certificate and authentication services, automation, and validation. Partners with networking, identity, security, and data center teams while applying AI-assisted engineering practices with strong validation, auditability, and data-sensitivity controls.

Leads mainframe infrastructure engineering for enterprise storage platforms. Responsibilities include DASD and tape volume management, SMS and ACS administration, catalog and HSM reorganization, storage troubleshooting, audit and security support, disaster recovery, replication, root-cause analysis, SLA compliance, and 24x7 on-call coverage. The role also promotes responsible AI-assisted engineering, automation, tooling, documentation, and team adoption of secure development practices.

Leads the design, build, and lifecycle of global remote access infrastructure for virtual desktops and applications. Responsibilities include architecture standards, capacity and failover engineering, security hardening, certificate and authentication integration, automation, validation, and cross-functional delivery. The role supports Citrix and Omnissa platforms across multi-region data centers and public and private clouds, while applying AI-assisted engineering practices with strong security, auditability, and data-sensitivity controls.

Build and maintain CrowdStrike’s golden-image platform and automated pipelines across Linux, macOS, and Windows. Develop Python automation for image builds, validation, drift detection, and testing; manage infrastructure as code with Ansible, Packer, and Terraform; integrate Jenkins, GitLab CI, and Artifactory; and support image lifecycle operations. The role includes troubleshooting production issues, security hardening, compliance collaboration, documentation, cross-team partnership, and participation in on-call rotations.

Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.

Maintains secure, reliable, and highly available servers, networks, operating systems, middleware, and multi-cloud infrastructure. Responsibilities include installation, upgrades, monitoring, troubleshooting, automation, security patching, disaster recovery, job scheduling, vendor coordination, documentation, and 24x7 on-call support. The role also supports development, test, and production environments, leads infrastructure projects, mentors technical staff, and recommends improvements to infrastructure performance, security, and lifecycle management.

Implements and supports enterprise AI infrastructure platforms across client environments. Configures Kubernetes, workload schedulers, GPU resource governance, containers, observability, security, and related platform services. Performs discovery, deployment, integration, upgrades, troubleshooting, validation, documentation, and knowledge transfer. Collaborates with cross-functional technical teams, contributes to implementation plans and Statements of Work, manages project deliverables, and provides client-facing consulting support. Travel and occasional extended or weekend work may be required.

Design, develop, and operate scalable VoIP infrastructure supporting AI-driven voice workloads. Integrate telephony systems, LLM applications, and real-time communication platforms while improving observability, reliability, deployment, and SRE practices. Build tested, maintainable software across telephony and AI layers, support production environments, collaborate with engineering and product teams, and mentor colleagues.

Develop and operate scalable VoIP infrastructure supporting AI-driven voice workloads. Build telephony platforms, observability features, and LLM integrations across SIP/RTP, Kamailio, RTPEngine, and related systems. Collaborate with engineering, product, infrastructure, and SRE teams on deployments, production support, automation, testing, and platform reliability. Mentor colleagues and promote engineering best practices across telecom and AI disciplines.

Build, scale, and harden deep learning training infrastructure for multi-thousand GPU clusters. Improve data loaders, distributed training, scheduling, and performance monitoring. Develop fault-resilient orchestration, training pipelines for massive video datasets, and collaborate with researchers and platform teams to maximize training efficiency, availability, and scalability.

Build and operate AI infrastructure systems, including telemetry pipelines, observability dashboards, incident-management automation, hardware and software catalogs, service ownership data models, and self-service discovery tools. Lead cross-functional infrastructure initiatives and develop AI-assisted operational tooling. The role requires production software and infrastructure expertise, programming experience, and the ability to improve reliability, visibility, incident response, and operational efficiency across NVIDIA GPU cloud environments.

Engineer and govern CA Endevor mainframe infrastructure, including inventory models, processors, promotion workflows, APIs, and disaster recovery. Develop Python and REXX automation, Jenkins pipeline-as-code, wrapper services, traceability, audit evidence, and secure integrations. Troubleshoot failures across Endevor, Jenkins, and z/OS toolchains, lead root-cause analysis, and implement resiliency improvements. The role also requires validating AI-assisted infrastructure recommendations and operating across public and private cloud environments.

Leads Azure cloud infrastructure architecture, automation, Kubernetes administration, CI/CD, application hosting, observability, incident response, and responsible AI-enabled engineering. Designs secure, scalable, and cost-efficient infrastructure; develops governed AI service patterns; improves reliability and operational response; mentors engineers; and contributes to agile technical leadership.

Own Harvey’s shared cloud-first IT infrastructure, infrastructure-as-code frameworks, automation, provisioning, monitoring, backups, resilience, certificates, DNS, and office technology standards. Build CI pipelines and configuration management for platforms such as Okta, Jamf, Intune, and Google Workspace. Improve change control, documentation, alerting, recovery runbooks, and identity lifecycle workflows while partnering with Security, Networking, and platform owners.

Infrastructure Engineer responsible for designing, developing, and supporting monitoring systems for private and public cloud platforms. The role focuses on infrastructure and application availability, incident detection and recovery, automation, container orchestration, cloud technologies, and continuous delivery. Candidates should have Linux, shell scripting, Python development, cloud, Docker, Kubernetes, OpenShift, and Ansible experience, along with strong communication skills.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Build and operate production AI infrastructure for multi-agent systems across customer clouds. Develop Python or Go tooling, CLIs, controllers, and services; deploy and optimize LLM inference with Kubernetes and vLLM; manage MLOps, model releases, observability, CI/CD, GitOps, security, and multi-cloud platform reliability. The role also involves Kubernetes operators, Terraform, GPU scheduling, agent runtimes, evaluation pipelines, and developer self-service automation.

Designs and owns production-grade AI infrastructure across Azure, Oracle Cloud, GCP, and AWS. Responsibilities include Kubernetes and Terraform deployments, portable multi-cloud infrastructure, CI/CD and GitOps systems, observability, security, reliability, and automation frameworks. The role builds self-service tooling, automates provisioning and operational runbooks, integrates compliance checks, and partners with product and platform engineering teams. It requires deep cloud infrastructure, networking, production operations, and DevOps expertise.

Operates and improves secure, highly available servers, networks, middleware, and multi-cloud infrastructure. Responsibilities include installation, configuration, upgrades, monitoring, troubleshooting, security, automation, vendor coordination, disaster recovery planning, technical documentation, and 24x7 on-call support. The role also leads moderately complex infrastructure projects, mentors junior staff, supports development and production environments, and recommends technology and lifecycle improvements.

Designs, implements, validates, benchmarks, troubleshoots, and supports accelerated compute and high-performance storage infrastructure for enterprise AI workloads. Conducts discovery, migrations, installations, configuration, testing, documentation, and client knowledge transfer. Collaborates with project managers, architects, sales teams, partners, and stakeholders to manage scope, timelines, risks, and deliverables. The role requires client-facing consulting, technical documentation, infrastructure troubleshooting, occasional overtime, and travel to client sites or company locations.

Lead the design, implementation, and evolution of secure, scalable multi-cloud infrastructure across AWS and Azure. Own infrastructure as code, CI/CD, containerization, observability, automation, reliability, incident response, and security practices. Partner with engineering leadership to shape architecture, operational standards, and technical strategy while improving developer workflows and system resilience.

Build scalable infrastructure for LLM-based agentic AI supporting autonomous security operations. Responsibilities include designing agent orchestration frameworks, LLM inference and resource-management systems, MCP servers, supporting APIs, and distributed backend services. The role collaborates with machine learning, security research, engineering, and product teams. Required experience includes backend infrastructure, distributed systems, APIs, microservices, cloud deployment, containerization, orchestration, and Python, Java, or Go.

Secure Zapier’s production infrastructure by identifying and mitigating risks, hardening cloud environments, improving Terraform and CI/CD security, managing vulnerability and misconfiguration tools, enforcing least-privilege access, strengthening data governance, hardening Kubernetes images, and supporting incident response. The role collaborates with Platform, Engineering, and Security teams in a remote-first environment.