Top Remote Infrastructure Engineer Jobs

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.

Lead design and development of infrastructure, automation frameworks, and internal developer tools. Build scalable services, APIs, dashboards, workflow engines, and LLM-powered workflows integrated with CI/CD, source control, test infrastructure, and observability. Define architecture and reliability practices, mentor engineers, review designs, and provide technical leadership for automation and tooling projects.

The Senior Software Engineer, Infrastructure will enhance Epic's platform reliability, manage GCP infrastructure, and improve CI/CD processes while ensuring observability and security best practices.

Operate and scale an Azure-based AI platform (Companion) by maintaining AKS infrastructure, improving observability, handling incidents, ensuring security and operational hygiene, and building runbooks and processes to support production AI agent workloads and deployments.

Design, build, and support secure, high-availability cloud environments on AWS/Azure/GCP. Implement landing zones, networking, IAM and security baselines; provision compute, storage, and databases with IaC; build CI/CD and DevSecOps pipelines; containerize and orchestrate applications; implement observability and SRE practices; produce FinOps reports and design documentation; support serverless and event-driven architectures.

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.

Responsible for overseeing physical infrastructure installation projects, ensuring quality control, managing contractors, and acting as a subject matter expert in fiber optics and structured cabling.

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.

As a Senior Software Engineer - Infrastructure, you'll design deployment pipelines, manage cloud deployments, and ensure system compliance and observability, leading incident response and documenting processes.

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.

The Sales Engineer will drive growth in the Infrastructure vertical by developing strategies, building partnerships, and engaging customers across the USA, while managing up to 50% travel.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.

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.