Remote Infrastructure Jobs
Browse and apply for latest Remote Infrastructure Jobs and work remotely as an Infrastructure Developer, Infrastructure Engineer with skills such as infrastructure for Lead, Senior and Junior roles full-time, part-time, contract or freelance. Work from home or any place around the world.
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Drive the end-to-end sales strategy for Cisco’s Internet Infrastructure portfolio across Enterprise, Commercial, and Service Provider accounts. Lead complex, multi-million dollar opportunities from technical discovery through executive presentation and final closure.
The Senior Solutions Architect will define and implement end-to-end security architectures for AI infrastructure, including hardware, Kubernetes clusters, and AI models. This role involves conducting security research, building proofs of concept, and providing technical leadership to customers and internal engineering teams.
The Infrastructure and Platform Operations Manager will oversee server, virtualization, network, and data center coordination to ensure operational stability. This role includes managing backup and disaster recovery programs, handling vendor renewals, and leading incident response for infrastructure alerts.
Lead risk identification, assessment, and mitigation efforts across complex infrastructure programs to ensure project success. Facilitate risk workshops and provide senior-level advisory services to stakeholders regarding governance and delivery methods.
You will design and publish network reference architectures for AI infrastructure, including large-scale GPU clusters and multi-tenant isolation. Additionally, you will conduct research, build proofs of concept, and provide technical leadership to internal teams and customers.
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The Senior Solutions Architect will define and implement end-to-end security solutions for AI infrastructure, including hardware, Kubernetes clusters, and AI models. They will also conduct research, build proofs of concept, and provide technical leadership to customers and internal teams.
You will build and maintain a core ingestion engine capable of overcoming complex platform defenses to deliver large-scale data. This involves designing distributed pipelines, managing storage environments, and implementing automated monitoring for evasion recovery.
The Solutions Engineer will manage pre and post-sales technical engagements, including on-site product demonstrations and system installations. They will also support customer relationships, provide technical troubleshooting, and contribute to product improvements through customer feedback.
The Senior Network Delivery Architect manages strategic capacity planning and lifecycle processes for global physical infrastructure, including network fabrics and optical systems. They also lead global colocation planning and oversee core platform project execution to meet high-velocity business objectives.
The role involves leading large-scale data center infrastructure design initiatives and defining engineering standards across multiple regions. The incumbent will provide technical leadership, mentor senior engineers, and collaborate with leadership on strategic capacity planning and roadmap development.
The engineer will develop and maintain data hall layouts and infrastructure designs while performing rack elevations and power planning. They will also collaborate with cross-functional teams to troubleshoot design conflicts and ensure compliance with industry standards.
The role involves owning and evolving the Bazel build system to ensure fast, reliable, and hermetic builds across a multi-language monorepo. You will also design and implement remote caching and execution strategies while supporting developer workflows and CI/CD infrastructure.
Design, deploy, and operate service mesh platforms like Istio and Linkerd across multi-cluster Kubernetes environments. Partner with SRE and security teams to implement mTLS, traffic policies, and observability while optimizing mesh performance.
The role involves designing, developing, and managing an on-premise Kubernetes platform using SUSE Harvester and Rancher. You will also focus on platform engineering, hyperconverged infrastructure, and optimizing Software Defined Storage for production and test environments.
Act as a technical advisor to support the sales process by leading technical discovery, designing solution architectures, and conducting product demonstrations. Collaborate with internal teams like Product and Engineering to validate solutions and address customer technical requirements.
You will design, develop, and manage the Linux-based hardware and virtualization infrastructure that supports Akamai's compute products. Additionally, you will implement observability tools, automate processes, and participate in on-call rotations to ensure system reliability.
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The Solutions Executive is responsible for managing the full sales lifecycle of hybrid infrastructure services and products to drive revenue growth. They will cultivate relationships with key stakeholders, develop strategic account plans, and coordinate with internal resources to meet sales targets.
The Senior Project Manager will own end-to-end delivery of GPUaaS and AI infrastructure deployments, managing complex multi-stakeholder projects from planning through production handover. They will also design and standardize PMO processes, utilizing automation and AI tools to create repeatable workflows and executive dashboards.
You will own complex technical investigations and critical escalations for large-scale data center and AI environments. Additionally, you will serve as a trusted technical advisor to strategic customers while collaborating with internal teams to improve product performance and support methodologies.
You will own the orchestration services, CLI tools, and device fleets that power large-scale test execution for the Netflix TVUI platform. This role involves instrumenting systems deeply and driving strategic investments in test infrastructure to mitigate risk across a diverse device ecosystem.
You will design and maintain automated CI/CD pipelines, performance benchmarking, and validation systems for generative AI models. The role focuses on eliminating engineering toil and building AI-powered tools to accelerate development cycles and deployment reliability.
You will serve as the primary technical architect for large-scale AI and HPC customer initiatives, designing state-of-the-art NVIDIA GPU clusters. Responsibilities include creating high-level and low-level design documentation, generating bills of materials, and leading technical engagements with enterprise clients.
You will build and maintain the infrastructure platform, including GPU clusters and cloud environments, that supports ElevenLabs' AI models and product teams. You will also develop automation tools and services to enable self-serve infrastructure for the company while ensuring reliability and security.
You will define technical direction and reference architectures across cloud, infrastructure, and data platforms while shaping solution designs for enterprise clients. Additionally, you will lead technical discovery, mentor engineering teams, and implement AI-accelerated delivery patterns to ensure scalable and secure production outcomes.
You will own the network solutioning for AI infrastructure, designing large-scale GPU cluster interconnections and defining multi-tenant isolation strategies. Additionally, you will conduct research on emerging networking technologies and build reproducible reference architectures and proofs of concept.
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The Senior Solutions Architect will define and implement end-to-end security for k0rdent AI infrastructure, covering hardware, Kubernetes, and AI model lifecycles. This role involves conducting security research, building reference architectures, and collaborating with customers and partners to validate secure AI deployments.
The consultant will advise on the evaluation, selection, and planning of a participant-facing learning hub system for a national technical assistance program. Responsibilities include defining technical requirements, comparing candidate platforms, and delivering a strategic implementation roadmap.
The role involves defining and building advanced statistical and machine learning models to optimize power utilization and reliability across Meta's large-scale infrastructure. You will partner with cross-functional teams to translate scientific outputs into actionable infrastructure planning and operational strategies.
You will be responsible for designing, building, and maintaining scalable cloud infrastructure while automating day-to-day operational tasks. You will also collaborate with product teams to ensure platform reliability and participate in an on-call rotation.
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