Top Remote Infrastructure Engineer Jobs

Manage model registries, continuous training loops, and A/B testing infrastructure. Deploy agentic models as scalable microservices on Kubernetes and build observability dashboards to track token usage, latency, and agent reasoning paths. Maintain MLOps pipelines and ensure scalable, observable AI infrastructure.

Design, orchestrate, and optimize large-scale LLM pre-training across 1,000+ GPUs. Implement 3D parallelism, manage GPU clusters (SLURM/Kubernetes), optimize InfiniBand/RDMA networking and memory, and automate checkpointing and failure recovery for long training runs.

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.

The role involves leading engineering efforts for ML infrastructure, optimizing distributed training, and enhancing AI platform efficiency in drug discovery.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

This role involves designing and implementing infrastructure systems for AI workloads, focusing on orchestration, automation, APIs, and compliance in a cloud-native environment. Collaboration across teams is essential for project success.

As a Software Engineer at Espresso, you will design and implement core blockchain infrastructure in Rust, focusing on transaction processing and consensus.

As a Senior Software Engineer in Infrastructure, you'll manage GPU and cloud infrastructure, ensuring stability and enhancing developer experience in a fast-paced environment.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

Design, build, and operate reliable and scalable systems to support Anrok's product, focusing on technical debt, security, and performance optimization.

The Research Engineer will optimize large-scale RL training systems by enhancing performance in networking, memory, and computation. Responsibilities include designing low-level optimizations, collaborating with various teams to improve infrastructure, and contributing to open-source projects.

The Staff Infrastructure and Performance Engineer will enhance the performance, reliability, and scalability of Nash's core infrastructure, focusing on aws-based systems, postgres performance, and multi-region deployments.

The role involves building self-service platform services using Go, automating operational workflows, scaling Kubernetes, and ensuring reliability in cloud environments.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

The Senior DevOps Engineer will manage deployment, automation, security, and observability for a multi-PSP payment architecture, focusing on cloud infrastructure and CI/CD implementation.

Responsible for full lifecycle development of privacy-focused telecommunications, improving system reliability, and managing compliance for FedRamp.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

As a Principal Software Engineer, you'll develop software systems for NVIDIA's rack-scale infrastructure, defining software architecture, collaborating across teams, mentoring engineers, and ensuring high-quality technical decisions in complex environments.

Lead architectural initiatives for NVIDIA's global compute platform, operationalize AI infrastructure, and drive migrations while ensuring performance and automation at scale.

Lead qualitative and quantitative project risk management across large CAPEX energy, mining, renewables, and infrastructure projects. Facilitate risk workshops, maintain risk registers, perform cost and schedule risk analyses (CSRA), integrate outputs into project controls and estimates, prepare risk reports, and improve risk tools and data libraries.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.

Design, build, and own critical backend infrastructure to improve scalability, reliability, security, and developer experience. Lead cross-team infrastructure improvements, solve systems-level problems, create reusable abstractions, and ensure production performance, observability, and operational excellence.

Design, build, and maintain cloud-first, highly available infrastructure and tooling for Cribl's telemetry platform. Drive automation, reliability, scalability, and API-driven solutions across distributed SaaS systems, and participate in on-call and operational duties.

The Sr. Performance Engineer optimizes low-latency systems at Helius, focusing on Rust services for traders and financial institutions, improving performance and efficiency in real-time data APIs.