Enhancing the querying experience through improving how queries are transformed, routed, and delivered at scale
Influencing the design of our microservice architecture
Supporting the reliability, scalability, and operations of data sources in Grafana Cloud
Grafana Labs is a remote-first, open-source powerhouse with more than 20M users of Grafana around the globe. They help more than 3,000 companies manage their observability strategies with the Grafana LGTM Stack, with a global collaborative culture, and a passion for meaningful work.
Improve Firefox development workflows to reduce time spent testing and debugging test failures as well as more integration/automation of workflows
Work with a geographically-distributed development team
Look at data, make dashboards, identify trends in Firefox development workflow
Mozilla Corporation is a non-profit-backed technology company that has shaped the internet for the better over the last 25 years. They make pioneering brands like Firefox. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build, and distribute open-source software.
Collaborate with front-end teams to deliver performant, secure integrations.
Refactor and modernize legacy systems for scalability and observability.
Consumer Edge is a data and AI-driven company equipping global organizations with real-time, transaction-based insights. Their engineers work across domains like Data, AI, and application development to build a platform translating complex data into clear business intelligence.
Design, develop, test, document, and deploy high-quality, scalable software into production.
Take ownership of services and features end-to-end, from design through to production and iteration.
Drive technical design discussions and contribute to architectural decision-making across the team.
Fanatics is building a leading global digital sports platform, igniting the passions of global sports fans. They maximize the presence and reach for their hundreds of sports partners globally by offering products and services across Fanatics Commerce, Collectibles, and Betting & Gaming.
Design, develop, test, deploy, and maintain scalable backend systems.
Enhance and optimize existing API and backend architecture.
Integrate third-party payment and fintech services.
Jobgether is a company that helps candidates find jobs using an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly.
Build and evolve backend infrastructure for an agentic AI observability platform using Node.js and Go
Collaborate with AI engineers to productionize and optimize agent workflows for reliability and performance
Design and implement secure execution environments for untrusted or dynamically generated code
Jobgether utilizes an AI-powered matching process to ensure quick, objective, and fair application reviews. They connect candidates with partner companies, streamlining the hiring process and providing opportunities in various industries.
Design, build, and maintain scalable backend services powering AI infrastructure and inference systems.
Develop and optimize distributed systems with a focus on performance, reliability, and low-latency execution.
Contribute to the evolution of platform architecture, ensuring scalability for growing workloads and enterprise use cases.
They are a company using an AI-powered matching process to quickly, objectively, and fairly review applications against a role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Build and ship product features in a React Native app that puts cutting-edge generative AI video models directly in users' hands
Own features through their full lifecycle: instrument analytics, manage feature-flag rollouts, monitor stability and usability post-launch, and surface learnings that inform next steps
Help keep the mobile app up to date with the latest AI capabilities and contribute to a continuous stream of experiments aimed at improving retention and engagement
Runway is building AI to simulate the world through merging art and science. They are a team of creative, open minded, caring and ambitious people who are determined to change the world.
Design, build, and deploy robust machine learning systems for search and discovery.
Develop and optimize ML/DL models using transformer architectures and LLM techniques.
Translate research ideas and hypotheses into production-ready engineering solutions.
Jobgether is an AI-powered matching process company that ensures applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.