Top Remote Infrastructure Engineer Jobs

Lead design and implementation of a unified, AI-powered insights platform for Pinterest Trends and Audience Insights. Architect scalable data and ML pipelines, build LLM-powered features with safety and evaluation guardrails, drive prototypes to production, partner cross-functionally, mentor engineers, and measure insight quality tied to adoption and revenue.

The Staff Performance Engineer will optimize latency-critical systems at Helius, focusing on design for low-latency environments, mentoring engineers, and leading performance strategies.

Design, build, and operate Planet's scalable object and metadata storage platform. Own backend services, Elasticsearch indexing, search, event notification, and disaster recovery. Measure performance, create alerts, be on call, drive system design and architecture, mentor engineers, and contribute to the technical roadmap for highly available, cloud-native data infrastructure.

The Principal Software Engineer will shape and evolve HubSpot's data platforms, driving architectural decisions, building frameworks, and influencing infrastructure across teams.

Lead cross-functional initiatives to maintain and improve Slacks desktop framework (Electron/Chromium), drive architectural decisions, improve performance, stability, and security, mentor engineers, and collaborate across teams and the broader open-source ecosystem to increase developer productivity and system health.

The Staff Infrastructure Reliability Engineer leads Redfin's production database and storage systems, collaborating on strategies for reliability, scalability, and performance, while mentoring engineers and guiding complex technical discussions.

As a Senior Software Engineer at Cribl, you will contribute to building and delivering improved cloud services, solve infrastructure issues, implement product roadmaps, and ensure software quality and reliability. You will work autonomously within a distributed team and engage with product development, focusing on creating scalable and reliable infrastructure solutions.

The Software Engineer II will develop and maintain cloud infrastructure, collaborate on AI projects, design APIs, and ensure system reliability on Google Cloud Platform.

The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

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

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.

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.

As a Software Engineer in Data Infrastructure at Speechify, you'll develop data ingestion pipelines, manage cloud infrastructure on GCP, and collaborate with scientists to enhance data quality for AI models.

The Software Engineer for Data Infrastructure & Acquisition will build data ingestion pipelines, manage cloud infrastructure, and collaborate with AI scientists to enhance data processing for Speechify's products.

Responsible for data collection to support model training operations, extending the cloud infrastructure, and collaboration for AI data strategies.

The Software Engineer will manage data collection and create datasets to support model training, utilizing cloud infrastructure and collaborating with AI scientists.

As a Software Engineer for Data Infrastructure, you will enhance data collection methods, manage cloud infrastructure, and collaborate on AI datasets to support model training.

The Software Engineer will handle data collection for AI model training at Speechify, manage ingestion pipelines on GCP, and collaborate on dataset strategies.

This role involves data collection and integration for AI model training, operating cloud infrastructure, and collaborating on dataset roadmap for next-generation products.

Responsible for data collection to support model training operations, building high-quality datasets, and managing the ingestion pipeline. Collaborate with AI team and scientists to enhance data quality and scalability.

This role focuses on data collection for model training, requiring expertise in cloud infrastructure, scripting, and collaboration with the AI team.

This role involves data collection for model training at Speechify, managing the cloud infrastructure for data ingestion, and collaborating on data strategies for AI products.

The Software Engineer will enhance data collection for AI, manage cloud infrastructure, and collaborate with scientists to improve datasets for Speechify's products.

The role involves managing data collection and processing for AI model training, enhancing data pipelines, and collaborating on data strategies.

The Software Engineer will focus on data collection for model training, manage cloud infrastructure, and collaborate on dataset roadmaps for AI initiatives.