Top Remote Infrastructure Engineer Jobs

Build and operate scalable Kubernetes (EKS) infrastructure, develop Terraform infrastructure-as-code, maintain internal developer platform and tooling, support automation, security, and performance, and participate in 24x7 on-call rotations and incident escalation.

Design, implement, and monitor internal security tooling and controls across endpoints and infrastructure. Enforce endpoint configurations via MDM, manage identity and zero-trust SSO solutions, automate security operations with IaC and scripting, perform log analysis and incident response, and collaborate with client platform and IT teams to harden systems and support threat hunting.

Build and maintain the control planes, automation, and observability for a global fleet of machines. Develop production-quality Go services for provisioning, health checks, upgrades, and incident remediation. Architect high-throughput, low-latency networking, improve utilization and power-to-performance, and collaborate with product and platform teams on storage-aware scheduling and developer-facing features.

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

Lead evolution of an internal developer platform into an AI-first, self-service system. Architect, build, and operate secure multi-tenant AWS EKS/Kubernetes infrastructure, developer tooling (CLIs, SDKs, portals), IaC/GitOps workflows, observability, and AI-assisted automation for provisioning, incident triage, and remediation while collaborating with application, SRE, and security teams.

Build and maintain privacy-focused telecommunications infrastructure and deployment tooling. Own full lifecycle development, monitoring/instrumentation, high-availability systems, FedRAMP accreditation, and integration of telecom components. Shape engineering practices and balance short-term needs with long-term roadmap.

Design, build, and operate large-scale RL post-training systems for multimodal foundation models: distributed training, high-throughput rollout generation, environment and reward infrastructure, evaluation and debugging tooling, and efficiency/stability improvements. Collaborate with researchers to productionize RL methods and run stable RL training across thousands of GPUs.

Build and scale the platform infrastructure to support mortgage origination: design cloud architecture, deploy and operate Kubernetes-based systems, manage databases, implement observability and incident response, and create internal developer tooling to improve reliability and engineering velocity.

Lead the Core Infrastructure team, focusing on Kubernetes platform ownership, multi-region expansion, AI infrastructure development, and enhancing security 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.

Lead operations for large-scale AI infrastructure: manage NVIDIA GPU and high-performance networking environments, troubleshoot Linux/Kubernetes/storage/hardware issues, drive incident response and root cause analysis, improve observability and automation, mentor engineers, and collaborate with engineering and datacenter teams to ensure platform reliability and scalability.

Lead architecture and rewrites for a scalable, resilient AI-first platform. Own backend systems, data storage performance, deployment pipelines, cloud infrastructure via IaC, observability, incident response, and analytics. Mentor engineers and enable rapid customer onboarding and AI-driven automation.

Design, develop, and maintain high-performance distributed storage software and protocols (file, block, object). Integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance and scalability, troubleshoot production data centers, collaborate with networking, compute, control plane and observability teams, and lead/mentor engineering teams.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

Design, implement, and maintain cloud infrastructure and platform services across AWS and Azure. Build IaC and CI/CD pipelines, automate provisioning and configuration, support container platforms, enforce DevSecOps controls, implement monitoring and logging, assist incident response and root cause analysis, produce documentation and runbooks, and lead technical work for cross-functional teams.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

Operate and support production AI infrastructure across global datacenters, focusing on high-performance NVIDIA GPU platforms, Kubernetes, and high-speed networking. Monitor and troubleshoot infrastructure, network, hardware, and platform incidents; participate in incident response and root cause analysis; improve observability, automation, and operational runbooks.

Own and evolve ShiftKey's AI infrastructure: production retrieval/indexing, agentic platforms on AWS, graph-based multi-hop retrieval design, platform APIs, reference agents, and cost/observability guardrails for regulated (HIPAA) workflows.

Design, deploy, and operate scalable AWS infrastructure and platform automation for high-volume, real-time payment and ledger systems. Lead architecture, standardize IaC and CI/CD, improve reliability, observability, and security, and align platform and product teams on operational models.

Design, build, and operate scalable, secure data infrastructure including access control, financial reporting pipelines, cloud storage reliability, and data platform tooling. Collaborate with data scientists, analysts, and stakeholders to ensure data integrity, performance, cost-efficiency, compliance, and rapid recovery at petabyte scale.

Join the team as a Senior Software Engineer focused on backend and infrastructure engineering. Responsibilities include designing reliable systems, building automation tools, maintaining infrastructure, and troubleshooting issues. Ideal candidates have strong experience in systems engineering and proficiency in Rust, with familiarity in distributed systems and API design.

Design, build, and maintain Myriad's cloud infrastructure and CI/CD systems. Solve complex DevOps and cloud migration challenges, provide tooling and platform support for engineering teams, and optimize enterprise architectures for scalable deployments.

Senior software developer responsible for implementing application-layer currency and supportability updates for middleware and microservices — including JDK/runtime upgrades, dependency remediation, certificate and credential updates, OpenShift/Linux compatibility, CI/CD and developer validation, rollback planning, and technical documentation.

Design and implement scalable backend systems for Patreon's platform. Collaborate with engineers and product managers to maintain and optimize performance.

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.