Design, develop, and maintain high-quality microservices and APIs using Python and Go at significant scale.
Contribute to distributed systems, databases, DevOps, security, and observability practices across a global technology ecosystem.
Collaborate with a globally distributed engineering team and participate in in-person events approximately twice per year.
The company is a global technology organization building scalable microservices and APIs that support millions of clients and critical infrastructure. It operates a remote-first culture with a globally distributed engineering team, emphasizing collaboration, continuous learning, and engineering excellence.
Develop and maintain Linux software across the full Ubuntu stack for next-generation silicon and hardware platforms.
Collaborate with silicon and technology partners on new architectures, optimization, and open-source contributions.
Work remotely with a globally distributed engineering team on Linux, AI, IoT, and emerging technologies.
They develop and maintain Ubuntu across next-generation silicon and hardware platforms, collaborating with global technology partners. The team works in a globally distributed, remote-first environment with a strong focus on open source and engineering excellence.
Design, implement, and maintain reliable, scalable, and secure infrastructure to support applications and automation systems.
Automate infrastructure provisioning, configuration management, and deployment pipelines using tools like Terraform and ArgoCD.
Implement observability solutions and enforce security best practices to ensure uptime and system performance.
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production, using proprietary AI-based robotics and software to assemble hardware products for hyperscalers and OEMs. The company is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico, and has been recognized by Forbes' AI 50 and other leading organizations.
Scrape various APIs on an industrial scale, handling terabytes of data daily.
Build backend services using Python, focusing on high-load, data-intensive systems and optimizing data pipelines.
Write and review code for quality, security, and best practices, implementing automated testing and CI/CD processes.
SplitMetrics is a global software company that provides a growth engine for top mobile-first businesses through an ecosystem of products and services, including platforms for Apple Ads and A/B testing. With over 11 years in the mobile marketing industry and a team across 20+ countries, they have a remote-first culture and have integrated AI since 2023.
Build and maintain data scrapers and ingestion pipelines for government data sources across the US
Validate data for accuracy, completeness, consistency, and reliability before it reaches the platform
Document source behavior, extraction logic, and data-quality checks to ensure maintainable systems
GovSignals is the AI system of work for government contracting, helping close the gap between government acquisition speed and adversary capability deployment. It's a high-velocity startup managing government contract data with AI in both FedRAMP High and DoW Impact Level 5 environments, monitoring over 5,000 live data sources and serving customers from small contractors to Fortune 500 primes.
Build and scale automated data pipelines across analytics, legal, and commissions.
Integrate CRM, billing, and finance systems using custom APIs and data pipelines.
Ship and maintain internal applications and deploy containerized AWS services.
LeanTaaS builds AI-powered software that helps hospitals optimize capacity by reducing wait times and costs. With over $300 million in funding from top investors, the company serves more than 190 health systems and employs a culture focused on innovation and operational excellence.
Lead build of cross-functional data products and analytics experiences that enable data-driven decisions across the business.
Standardize how data products are built with golden paths and a common operating model for every domain.
Drive an AI-native engineering culture to achieve 3-5x productivity gains and raise data product quality.
Natera is a global leader in cell-free DNA testing for oncology, women’s health, and organ health. The team consists of highly dedicated professionals from world-class institutions, working in a collaborative culture that values growth and inclusion.
Serve as the named, persistent technical partner for strategic accounts, diagnosing workflows and preventing escalations.
Build technical success plans and run recurring health reviews with Customer Success Managers.
Translate complex technical findings into clear business value stories for stakeholders.
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. The company serves more than 700 customers with a data network scoring 1 trillion events per year, fostering a diverse, equitable, and inclusive workplace.
Build and maintain core infrastructure for Quora's ML platform, ensuring high availability, scalability, and performance.
Build and improve distributed systems serving ML models in production, from Large Recommendation Models to Large Language Models.
Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models.
Quora's mission is to grow the world's collective intelligence through two platforms: Quora for global knowledge sharing and Poe for AI agent collaboration. We are a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency and experimentation.
Leverage expertise in CX, call center infrastructure, and cloud technologies to integrate Cresta's AI solutions with enterprise contact centers.
Design, build, and deploy applications using Cresta SDKs, libraries, and APIs, with hands-on experience in Go, Python, and JavaScript.
Collaborate with Customer Success and engineering teams to remove technical barriers, triage issues, and drive value through real-time coaching and agent efficiency tools.
Cresta provides a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experiences. Founded from Stanford AI Lab, Cresta has raised over $270 million from top investors and includes leading AI minds on its team.