Top Remote Infrastructure Engineer Jobs

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.

The role involves building robust software solutions, mentoring engineers, analyzing business problems, and contributing to technical strategy in a collaborative environment.

As a Senior Site Reliability Engineer, you will manage and improve Wikimedia's infrastructure, handle operational tasks, automate processes, and provide mentorship while participating in a 24/7 on-call rotation.

The Infrastructure Engineer will ensure the reliability, security, and performance of Thatch's healthcare platform infrastructure. Responsibilities include designing infrastructure, improving CI/CD tools, and managing security and reliability across the stack.

Design, deploy, and maintain scalable cloud infrastructure for ClickHouse. Collaborate with teams to enhance performance, reliability, and security of services.

Design, deploy, and maintain highly available, secure cloud platforms; support CI, automation, monitoring, and migrations of legacy systems to AWS; resolve performance, vulnerability, and scalability issues; create operational documentation and collaborate with stakeholders.

Primary point-of-contact for a customer, providing on-site and remote HPC, Ethernet, and AI infrastructure support. Troubleshoot Linux systems, networking protocols, and interoperability; reproduce and resolve complex issues; collaborate with engineering, marketing, and support; document support methodologies and improve processes.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

The Infrastructure Software Engineer will design backend services, drive reliability, manage observability tools, and enhance deployment processes in a collaborative setting.

The Engineering Director will lead and manage the cloud infrastructure and developer enablement, focusing on AI-native systems, team development, and security operations.

Design and maintain production-grade cloud infrastructure for Tessera's AI systems, leveraging Terraform and Kubernetes across multiple cloud providers, while automating CI/CD pipelines and ensuring operational excellence.

Loti AI seeks a DevOps engineer for decentralized infrastructure to deploy, scale, and maintain distributed systems, manage IPFS clusters, and oversee blockchain nodes.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Develop and maintain components for machine learning inference platform. Focus on Kubernetes deployments, resource management, and performance monitoring.

The role involves managing full technical lifecycle of client cloud deployments, designing integrations, maintaining infrastructures, and engaging with clients directly.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

The Senior Solutions Engineer will design and implement infrastructure for AI and HPC workloads, engage with customers, and lead technical discovery and architecture design.

The Software Engineer will manage data collection, optimize cloud infrastructure for data ingestion, and collaborate with AI researchers to enhance datasets for model training.

As a Senior Software Engineer on the Infrastructure team, you'll build and manage critical systems, contribute code, handle incidents, and enhance developer tooling.

Design, operate, and scale ML data and training pipelines for autonomous driving. Build distributed training, orchestration, CI/CD and infrastructure-as-code; maintain data/metadata stores and tooling to support large-scale model training and evaluation across cloud and cluster environments.

The Staff Software Engineer will lead technical strategy and execution in cloud infrastructure, design scalable systems, and enhance reliability across all engineering teams while mentoring other engineers.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.