Top Remote Infrastructure Engineer Jobs

Design, develop, and maintain high-performance, highly available backend services and APIs for Big Data products using Java/Python. Manage full service lifecycle, capacity planning, profiling/benchmarking, troubleshooting, security, and system architecture. Contribute to open-source big data projects and build scalable tools for global operations.

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.

Design, automate and operate secure, performant global SaaS cloud infrastructure. Consult with stakeholders, implement IaC and CI/CD, migrate environments, apply cloud governance, monitoring, capacity planning, performance tuning and security best practices.

The role involves designing and operating a resilient Wallet platform, working with cloud-native services, APIs, and ensuring platform stability with performance standards and incident response.

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.

Lead product vision and multi-year strategy for developer infrastructure across the code lifecycle. Own roadmap for CI/CD, release automation, testing, deployments, and production readiness; drive migrations to simplify systems, measure quality with scorecards, partner with Engineering/SRE/Security, and integrate emerging (AI) capabilities to improve developer velocity and reliability.

Build and operate Abnormal AI's cell-based cloud infrastructure: bootstrap cells, provision multi-cloud (AWS/Azure) resources, deploy application stacks, automate lifecycle tooling, triage cross-layer incidents, reduce toil via automation, participate in on-call, and collaborate with product and application teams for scalable, secure, cost-efficient deployments.

Design, build, and operate hybrid cloud and air-gapped platform infrastructure. Run and maintain production Kubernetes (EKS/RKE2/OpenShift), implement GitOps with Argo CD, author Helm charts and Terraform, package deployments for disconnected environments with Zarf, harden CI/CD pipelines, and establish monitoring, secrets, and operational standards.

The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

Design, implement and operate a Kubernetes-based cloud-native platform, managing containerized applications' lifecycle, CI/CD pipelines, and infrastructure while ensuring reliability and security.

The IT Infrastructure Engineer will troubleshoot hardware issues, manage RMA processes, and perform diagnostics on enterprise servers in a data center.

Manage IT infrastructure projects in data centers, ensuring delivery, risk management, and stakeholder communication while collaborating with cross-functional teams.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

Design, operate, and troubleshoot global enterprise infrastructure across cloud and on-prem environments. Execute production changes, participate in incident response and root cause analysis, maintain reliability and security, support Windows/Linux, networking, identity, and endpoint management, and contribute to automation and infrastructure-as-code efforts using Terraform, Ansible, PowerShell, and Python.

The IT Infrastructure Engineer will perform advanced diagnostics, manage RMA processes for hardware in data centers, and improve hardware reliability.

Design, build, and operate ML infrastructure powering data, compute, artifacts, and orchestration across cloud and on-prem. Own backend services, storage, observability, security, and developer tools; collaborate with cloud/compute providers and lead reliability and scaling efforts.

The Principal Cloud Infrastructure Engineer will design, analyze, and maintain cloud infrastructure, ensuring compliance with security standards and integrating application development with IT infrastructure.

The Principal Infrastructure Engineer designs and evolves infrastructure for production services, focusing on high availability, reliability, and automation while leading technical solutions and cross-team collaboration.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

This role involves managing CI/CD infrastructure, troubleshooting issues, and promoting automation and collaboration within teams. Responsibilities include maintaining deployment pipelines, optimizing container performance, and automating DevOps processes.

The Infrastructure Engineer designs and maintains distributed systems, writes backend services in TypeScript, and operates cloud infrastructure, ensuring reliability and scalability.

Lead full‑stack development of AI infrastructure prototypes and production systems. Build backend Python services, integrate front-end apps with APIs, AD and OAuth, deploy serverless cloud solutions (AWS/Azure/GCP), write automated tests and documentation, and collaborate across teams to deliver generative-AI agents using foundation model APIs and agent frameworks.

This role involves architecting, implementing infrastructure projects, designing Kubernetes clusters and CI/CD pipelines, ensuring system reliability and performance while working closely with the founders.

Operate and scale GKE clusters, manage PostgreSQL/AlloyDB and Redis at scale, run GitOps CI/CD pipelines, develop Helm charts, implement OpenTelemetry observability, secure the platform with Cloudflare/Cloud Armor and secrets management, and build the GCP AI/ML infrastructure foundation to ensure 99.9%+ uptime and faster zero-downtime deployments.