Top Remote Infrastructure Engineer Jobs

The Software Engineer for Data Infrastructure & Acquisition will handle data collection for model training, manage cloud infrastructure on GCP, and collaborate with the AI team to enhance data quality and scalability.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure on GCP, and collaborate with scientists and teams on data workflows.

As a Software Engineer on the AI team, you will manage data collection, extend cloud infrastructure, and collaborate on dataset roadmaps for model training operations.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on AI datasets.

The role involves managing data collection for AI model training, extending cloud infrastructure, and collaborating on dataset roadmaps at Speechify.

The Software Engineer will enhance data collection processes, manage cloud infrastructure on GCP, and collaborate with scientists on AI model datasets.

The Software Engineer will manage data collection for AI model training, extend cloud infrastructure on GCP, and collaborate on data strategy.

The Software Engineer will manage data collection, optimize the ingestion pipeline on GCP, and collaborate with AI scientists to enhance datasets for model training.

As a Software Engineer for Data Infrastructure & Acquisition at Speechify, you will focus on data collection, operate cloud infrastructure, and collaborate with the AI team to enhance data processing for model training.

This Software Engineer role focuses on data collection for model training at Speechify, requiring skills in data ingestion, cloud infrastructure, and collaboration with AI team members.

The Software Engineer will enhance data ingestion pipelines, collaborate with AI scientists, and integrate new audio data sources, all within a cloud infrastructure.

This role entails sourcing audio data, extending cloud ingestion pipelines on GCP, and collaborating with AI scientists to enhance data processing for model training.

The role involves managing data collection and infrastructure for AI model training at Speechify, focusing on scalable data processing and collaboration with the AI team.

The Software Engineer will handle data collection for AI model training, optimize the data ingestion pipeline, and collaborate with scientists to improve data quality and scale.

Lead the strategy and evolution of internal developer platforms for silicon and software development; enhance developer workflows and optimize source control systems.

Design, enhance, and scale the ClickPipes data onboarding platform while improving infrastructure, deployment pipelines, and operational processes in a cloud environment.

The QA Engineer is responsible for test automation, software quality assurance, and platform reliability engineering, ensuring reliable and performant software delivery. They will design and maintain testing frameworks, validate AI workflows, and collaborate with multidisciplinary teams to uphold quality standards.

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.

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.

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

Design and maintain test infrastructure; implement AI-enhanced tools; ensure system resilience through testing and monitoring; mentor teams on best practices.

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

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

The Senior Staff Software Engineer will drive the technical vision and architecture standards for cloud infrastructure, lead complex projects, mentor engineers, and collaborate with stakeholders.