Top Remote Infrastructure Engineer Jobs

The Software Engineer will manage data collection for AI model training, operate cloud infrastructure, and work closely with scientists to enhance data quality and efficiency.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure, and collaborate on dataset roadmap at Speechify.

The role involves sourcing audio data, managing cloud infrastructure on GCP, and collaborating with the AI team to enhance data quality and processing for model training.

The Software Engineer will manage data collection for model training, improve cloud infrastructure on GCP, and collaborate with data scientists to enhance dataset quality and scale.

The role involves managing data collection and ingestion for AI model training, operating cloud infrastructure, and collaborating on dataset roadmap development.

The Software Engineer will manage data collection for AI model training, enhancing cloud infrastructure, and collaborate on dataset roadmaps to improve data quality and cost efficiency.

The role involves managing data collection and infrastructure for model training, collaborating with scientists for data processing, and extending cloud operations on GCP.

The Software Engineer will manage data collection for model training, enhance cloud infrastructure, and collaborate with scientists for data processing and improvements.

Responsible for data collection to support model training, managing cloud infrastructure, and collaborating with scientists to optimize data workflows for AI models.

The role involves data collection for model training, managing cloud infrastructure on GCP, and collaborating with AI scientists to improve data quality and cost efficiency.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on data sourcing and team strategies.

The Software Engineer will manage data collection for model training, extend cloud infrastructure on GCP, and collaborate on data strategy and workflows.

This role involves data collection for model training, cloud infrastructure management, and collaboration with AI Scientists to enhance dataset quality and availability.

This role involves collecting audio data for model training, extending cloud infrastructure, and collaborating with scientists on data processing workflows.

The Software Engineer will enhance data collection and ingestion pipelines, operate cloud infrastructure, and collaborate on AI datasets for model training.

This role involves collecting audio data, extending cloud infrastructure for ingestion, and collaborating with scientists to enhance datasets for AI model training.

Senior individual contributor who defines multi-cloud infrastructure standards and reference architectures, authors reusable Terraform IaC, drives Kubernetes production patterns, leads CI/CD and observability practices, advises on security and cost optimization, mentors senior engineers, and shapes pre-sales technical solutioning across AWS, GCP, and Azure.

Design, build, and maintain scalable, resilient data platform services for data integration, event processing, and orchestration. Improve data availability, discoverability, dependability, and security tooling while collaborating across cross-functional teams and delivering production-grade solutions at scale.

Provide onsite and remote technical support for NVIDIA Ethernet and AI infrastructure, troubleshoot Linux-based systems, debug networking and interoperability issues, collaborate with engineering and marketing, document support methodologies, and act as primary customer contact, spending at least one week per month onsite.

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.

The role involves synchronizing NVIDIA's compiler codebases with open-source projects, improving developer productivity, and building tools and workflows for compiler engineers.

Architect and build MLIR ecosystems, extending dialects while ensuring conversion paths. Collaborate with hardware engineers to integrate with PyTorch and modern frameworks.

As a Senior DevOps Engineer, you will manage and optimize multi-cloud infrastructure, drive Infrastructure as Code, improve CI/CD processes, and enhance system reliability and performance.

Lead design and implementation of high-performance distributed storage systems and protocols (object, block, file) for AI infrastructure. Set technical direction, author designs, mentor engineers, integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance, build benchmarking and observability tooling, and drive cross-team deployments and incident response in multi-petabyte data center environments.

Join cross-functional XP teams to deploy and adapt the Imogen platform into client public cloud environments. Pair-program, collaborate with client infosec and infrastructure teams, lead technical discovery, apply XP practices (TDD, CI/CD, pair programming), onboard and mentor engineers, build deployment tooling, participate in on-call rotations, and travel periodically for client engagements.