Top Remote Infrastructure Engineer Jobs

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Build and operate highly scalable storage infrastructure supporting petabyte-scale imagery data. Responsibilities include developing backend services and APIs, managing object storage and metadata indexing, tuning Elasticsearch, improving disaster recovery, monitoring performance, responding to incidents, contributing to architecture and roadmaps, and advising engineers. The role requires strong production software engineering experience with Go or Python, cloud-native systems, relational and non-relational databases, and highly available services.

Design, deploy, and maintain cloud and edge security across AWS/GCP/Azure including Cloudflare WAF and SASE. Implement zero-trust access, CSPM, IaC security, threat modeling, incident runbooks, detection tuning, and mentor junior engineers while participating in on-call rotation.

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.

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

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

Secure and optimize enterprise network infrastructure through firewall lifecycle management, GlobalProtect VPN support, vulnerability remediation, incident response, monitoring, troubleshooting, and automation. Develop Ansible and Python workflows for threat defense, data collection, investigation, threat hunting, and user access management. The role also designs, configures, maintains, and monitors cybersecurity capabilities and supports onsite testing and deployments.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

Drive technical sales for Azure cloud and AI infrastructure solutions. Lead architecture sessions, workshops, demos, proofs of concept, and migration or modernization initiatives. Design secure, scalable hybrid-cloud architectures for Windows, SQL, Linux, PostgreSQL, Oracle, and enterprise applications. Advise customers on networking, resiliency, compliance, containers, AKS, Azure Arc, SAP, VMware, and partner technologies while collaborating with engineering and business stakeholders.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Design, deploy, maintain, tune, and secure enterprise Linux environments supporting high-performance EDA compute farms. Lead infrastructure-as-code automation, configuration management, continuous deployment, and tooling development using Python, Bash, or Go. Manage LDAP/SSSD naming services, NFS and Autofs storage, virtualization, container infrastructure, registries, networking, and infrastructure telemetry. Support highly available, scalable systems and potentially integrate cloud platforms, CI/CD pipelines, EDA toolchains, and HPC clusters.

Designs and builds scalable, reliable infrastructure systems across compute, networking, cloud orchestration, storage, and observability. Drives technical strategy, architecture, roadmaps, cross-team alignment, cost optimization, and secure-by-default practices. Requires extensive experience with coding, concurrent and distributed systems, cloud platforms, system-level tradeoffs, and infrastructure engineering.

Lead the technical vision, architecture, and implementation of large-scale cloud infrastructure powering Temporal Cloud. Drive multi-cloud compute, traffic, security, automation, scalability, performance, and reliability initiatives. Provide hands-on coding, technical mentorship, design review leadership, roadmap development, cross-team alignment, executive advising, and customer engagement while elevating engineering and operational excellence.

The role involves managing data collection for AI model training, extending cloud infrastructure, and collaborating on dataset roadmaps at Speechify.

The role involves managing data collection and infrastructure for AI model training at Speechify, focusing on scalable data processing and collaboration with the AI team.

As a Software Engineer on the Data team at Speechify, you'll collect audio data, manage cloud infrastructure, and collaborate on dataset roadmaps to enhance model training operations.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure on GCP, and collaborate with scientists and teams on data workflows.

The Software Engineer will manage data collection, optimize the ingestion pipeline on GCP, and collaborate with AI scientists to enhance datasets for model training.

The Software Engineer will collect data for model training, extend cloud infrastructure, and collaborate to enhance data quality and scale for AI products.

Responsible for data collection to support model training operations, extending cloud infrastructure, and collaborating with AI team on dataset roadmap.

The Software Engineer will enhance data collection processes, manage cloud infrastructure on GCP, and collaborate with scientists on AI model datasets.

This role entails sourcing audio data, extending cloud ingestion pipelines on GCP, and collaborating with AI scientists to enhance data processing for model training.

The role involves managing data collection for AI model training at Speechify, optimizing ingestion pipelines on cloud infrastructure, and collaborating with scientists to enhance data quality and scalability.