Top Remote Infrastructure Engineer Jobs

The Software Engineer will manage data collection for model training, enhance cloud infrastructure, and collaborate with AI Scientists to improve data sourcing and processing efficiency.

The role involves data collection to enhance AI model training, managing cloud infrastructure, collaboration with scientists for data quality and cost efficiency.

The Software Engineer will manage data collection for AI model training, ensure cloud infrastructure operates efficiently, and collaborate on dataset roadmaps.

The Software Engineer will handle data collection and cloud infrastructure management on GCP, creating datasets for AI model training and collaborating with the AI team on data roadmap strategy.

The Software Engineer role focuses on data collection for model training, enhancing data ingestion pipelines, and collaborating with AI Scientists to improve data quality and efficiency.

Join Speechify as a Software Engineer responsible for data collection and management to support AI model training and enhance product offerings.

The role involves data collection and infrastructure management for model training at Speechify, focusing on data ingestion pipelines and collaboration with AI scientists to optimize datasets.

As a Software Engineer in Data Infrastructure, you'll enhance audio data ingestion pipelines, operate cloud infrastructure, and collaborate with scientists on data strategies to support AI model training.

The role involves data collection for model training, integrating infrastructure and engineering to build datasets at large scales, collaborating with scientists to improve data quality and cost efficiency, and crafting a dataset roadmap.

The Software Engineer will manage data collection for model training, extend cloud infrastructure for ingestion pipeline, and collaborate with scientists to enhance data quality and efficiency.

The Software Engineer will handle data collection for model training, operate the ingestion pipeline on GCP, and collaborate with AI scientists to enhance data quality and scale.

As a Software Engineer on the Data team, you will manage data collection for model training, extend cloud infrastructure, and collaborate with scientists to enhance data quality and efficiency.

Responsible for finding audio data sources, managing the cloud infrastructure for the ingestion pipeline, and collaborating on dataset roadmaps for AI products.

The Software Engineer will be responsible for data collection and management, enhancing the cloud infrastructure, and collaborating on AI datasets to support model training.

Lead end-to-end GPU-focused Kubernetes deployments from bare metal to production-ready vCluster environments. Configure and troubleshoot GPU nodes (GPU Operator, CUDA, RDMA/InfiniBand), CNI and storage (CSI, Ceph/Rook/Weka/Longhorn), validate managed K8s, produce playbooks, transfer knowledge to customers, and feed infrastructure learnings back to Product and Engineering while supporting pre-sales proofs of value.

As a Senior Backend Engineer, you will enhance Polymarket's CLOB engine by optimizing performance, handling transaction states, and debugging production issues, focusing on concurrency and observability.

Design, build, and operate scalable MLOps infrastructure for data ingestion, distributed training, deployment, CI/CD, experiment tracking, and monitoring across cloud R&D and production. Collaborate with ML, autonomy, robotics, and software teams to deliver architecture, PoCs, and production-ready ML pipelines that support real-time, safety-critical systems.

Lead design, hardening, automation, and operation of enterprise endpoint environments across macOS and Windows. Own MDM and EDR services (Intune, Kandji, Fleet, CrowdStrike, SentinelOne, Defender), device lifecycle, vulnerability management, automated provisioning, identity integrations, scripting automation, incident triage, and tooling roadmap while partnering with Security, IAM, and Cloud teams.

Design, build, test, and continuously deploy scalable infrastructure and platform tooling. Create technical specs and rollout plans, collaborate with stakeholders, mentor teammates, support services in production, and shape engineering practices across teams.

The role involves developing cloud-native database solutions, particularly focusing on autoscaling functionality, and collaborating with various teams to enhance cloud infrastructure and performance.

The Senior Infrastructure Engineer will design, implement, and manage scalable cloud and on-premise infrastructure, emphasizing security and automation, collaborating with cross-functional teams.

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.

Design, implement, and manage LiveKit's infrastructure, focusing on performance, reliability, and automation while ensuring effective incident management and coordination with vendors.

Lead design, implementation, and maintenance of Azure-based infrastructure and hybrid environments. Manage Linux servers, virtualization, backup/DR, configuration management, IaC (Terraform), automation, monitoring, and VMware administration. Collaborate with security and cross-functional teams, document standards, and deliver scalable cloud-native solutions.

Lead technical pre-sales engagements to design secure, scalable Azure architectures for migration, modernization, and AI workloads. Build trusted advisor relationships, drive POCs, apply CAF/CMF best practices, design hybrid networking and containerization solutions (AKS, Arc, AVS), and collaborate with engineering and partner teams to overcome technical objections and optimize enterprise migrations.