Top Remote Infrastructure Engineer Jobs

Lead alignment of NVIDIAcompiler codebases with open-source projects, build tooling and workflows to improve developer productivity, automate rebasing/patch management and apply AI-assisted workflows, while partnering with architecture and CI teams to scale changes across NVIDIA.

Lead end-to-end deployment of Cohere's North platform in private/hybrid cloud and on-prem environments. Partner with enterprise IT to assess infrastructure, security, and data practices; design tailored deployment strategies; administer production Kubernetes clusters; troubleshoot deployment issues; and ensure compliance with data privacy and security standards while engaging directly with customers.

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.

Own installation, configuration, security, upgrades, and health of self‑hosted Preql deployments in customer-managed Kubernetes across cloud and on‑prem. Manage networking, identity, secrets, observability, incident response, enterprise security reviews, runbooks, and release/version discipline while working directly with customers and security teams.

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.

Develop, maintain, and automate Twilio's Compute cloud infrastructure including scalable cloud-native environments, VM orchestration, hardened AMIs, ASG/EC2 management, container images, and OS libraries. Collaborate with architects and engineers, produce IaC-compliant implementations, author documentation and runbooks, participate in on-call rotation, and support legacy and new platform components using automation and best practices.

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.

Founding ML infrastructure engineer to design and scale a GPU compute platform (1,000+ GPU clusters), build multi-tenant scheduling and marketplace infrastructure, own production reliability, architect feature stores/model registries and experiment tracking, and develop resource orchestration and scheduling to optimize throughput, cost, and latency.

Design and evolve systems for Motion's infrastructure, focusing on reliable and secure operations across APIs, Linux systems, and cloud environments with a focus on hands-on coding and engineering judgment.

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.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

Lead a team building large-scale ML model evaluation and orchestration frameworks for autonomous vehicles. Own data analysis workflows, dataset creation, statistical model evaluation, regression reporting, and tool development (AWS Kubernetes orchestration, ReSimulation). Provide technical leadership, mentorship, and manage project timelines and deliverables.

Design, build, and maintain cloud-based data pipelines and infrastructure on AWS, integrating on-prem and cloud flows. Implement IaC, CI/CD, containerization, observability, and automation to ensure high-throughput, reliable data ingestion and processing for autonomous systems.

Lead design, development, and operation of cloud infrastructure and SRE-focused systems. Own medium-to-large infrastructure projects, build resilient platforms, and drive cross-team technical delivery. Mentor engineers, define SLOs, reduce failure domains, and build tooling for automated, secure CI/CD and production reliability.

Design, build, and operate resilient cloud infrastructure and platform services. Lead cross-team projects, mentor engineers, define SLOs, automate CI/CD and IaC, improve reliability, and own medium-to-large infrastructure features.

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Design, maintain, and optimize cloud infrastructure and CI/CD systems. Solve complex DevOps problems, support engineering teams, develop cloud migration strategies, and build tools to enable scalable, secure deployments.

The Senior Backend Engineer will develop, test, and maintain scalable integrations, support cross-functional teams, and enhance developer experiences.

Design and maintain Terraform and OCI Resource Manager IaC for standardized tenant onboarding. Automate landing zones, identity, network baselines, governance, and security guardrails. Build CI/CD pipelines, reusable templates (DNS, VCN, Cloud Guard, logging, IAM policies, tagging), enforce policy-as-code, and accelerate tenant provisioning.

Design, build, and optimize production-grade Rust systems for low-latency model serving and real-time data ingestion. Implement high-throughput backend APIs, caching, and memory-efficient components. Debug distributed systems, establish benchmarking and monitoring, and collaborate with Applied Scientists to translate ML advances into scalable runtime systems.

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.