Design, build, and operate backend services for code checks in continuous integration.
Scale the platform to new repositories, new languages, and new check types.
Improve developer experience by cutting noise and keeping feedback loops short.
Airbnb was born in 2007 and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country. The company values inclusion and belonging, and is committed to working with the broadest talent pool possible.
Design, build, and operate production software systems.
Own significant technical projects from architecture through deployment.
Develop scalable services, APIs, infrastructure, and internal tooling.
The company builds sophisticated infrastructure and software systems. It is a rapidly scaling technology company that values ownership and technical excellence.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
Build new product capabilities from concept to production.
Work closely with Product and customers to identify high-value problems.
Own features end-to-end from architecture through deployment.
They build critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. They are a fast-growing, collaborative team that values ownership and quick decision-making.
Work directly with customers to understand technical requirements and build production solutions.
Develop integrations, APIs, and internal tooling to accelerate platform adoption.
Own projects from technical discovery through deployment and iteration.
A fast-growing technology company building advanced AI-powered infrastructure and products for enterprise customers. The company operates in a fast-paced, ambiguous environment and values high ownership and customer focus.
Lead the technical vision and roadmap for the ML platform.
Partner with Product and Engineering leadership to align investments.
Establish MLOps practices and optimize large-scale model training and serving.
The hiring company builds machine learning platforms and MLOps solutions for large-scale AI development. It offers a collaborative and specialized environment with a focus on technical excellence and innovation.
Develop and deploy production-ready AI solutions using Python, Azure, and LLMs.
Collaborate with cross-functional teams to translate business challenges into scalable applications.
Manage MLOps, CI/CD pipelines, and containerized deployments in an Agile environment.
Jobgether is an AI-powered job platform that matches candidates with roles using objective, fair reviews. It processes applications and shares shortlists with hiring companies, supporting a global remote workforce.
Design and build scalable backend services and distributed systems for IoT data processing and risk management.
Develop event-driven pipelines and predictive capabilities for on-time, in-full logistics performance.
Architect APIs and integrations using REST/gRPC, and champion engineering best practices in a lean startup environment.
This company builds an AI-enabled, device-agnostic risk-management platform for cold-chain logistics, protecting pharmaceutical and perishable shipments. It is a well-funded, high-growth startup with a lean engineering team.
Serve as a trusted technical advisor during enterprise sales cycles, translating complex customer requirements into compelling solution strategies.
Deliver customized product demonstrations and develop solution designs that integrate with existing technology environments.
Collaborate with Account Executives, Product, Engineering, and Security teams to influence product priorities and drive revenue growth.
This partner company offers advanced fraud, risk, and compliance solutions. They operate as a global, remote-first organization with a collaborative culture focused on technical credibility and customer impact.
Lead the design and delivery of AI agents and automation workflows using technologies like Snowflake Cortex, LangChain, and LangGraph.
Oversee development of production-grade Python applications, libraries, and services with modular architecture, automated testing, and CI/CD.
Hire, develop, and mentor a high-performing team of software and AI engineers, establishing standards for agentic systems and reusable libraries.
This partner company is focused on building AI-enabled automation systems and production-grade software for a large-scale data collaboration ecosystem. They emphasize engineering excellence, experimentation, observability, and continuous improvement in a fully remote environment.