Design and build distributed data systems handling large-scale ingestion and processing.
Drive architectural decisions and take end-to-end ownership of critical components.
Collaborate with product teams to translate ambiguous requirements into robust technical solutions.
Our partner builds a large-scale, multi-chain data platform that ingests, models, and delivers blockchain data to users and developers. They are a remote-first, distributed team with a strong engineering culture focused on ownership and collaboration.
Build and ship new features, product improvements, and bug fixes within your team’s codebase.
Own delivery of small-to-medium scoped projects, working with minimal oversight and following through to completion.
Participate in the full development lifecycle: planning, implementation, testing, release, and post-launch support.
We are a cybersecurity company that provides password management and unified access management solutions. With over 180,000 business customers and $400M ARR, we have a fast-paced, remote-first culture emphasizing collaboration and transparency.
Own the technical thesis for validating agent-generated software and build early proof of concept.
Design mid-loop feedback mechanisms that help agents self-correct toward working software.
Collaborate with engineering teams to adopt and measure trust in agentic development.
GitLab is an intelligent orchestration platform for DevSecOps that enables organizations to increase developer productivity, improve operational efficiency, and reduce security and compliance risk. With over 50 million registered users and trust from more than 50% of the Fortune 100, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Set technical direction for backend development and design scalable, reliable web application systems.
Architect and implement complex applications that apply ML techniques to large volumes of data.
Balance customer-facing features and technical debt cleanup to keep the software suite sustainable.
Machinify is a leading healthcare intelligence company delivering unmatched value, transparency, and efficiency to health plan clients. Deployed by over 85 health plans, we bring together an AI-powered platform with best-in-class expertise, embracing complex challenges with curiosity and a high bar for engineering excellence.
Apply your expertise in software engineering to help train next-generation AI systems by creating reinforcement learning environments and solving complex software engineering problems.
Contribute expert-level code samples, debugging strategies, and development insights in languages such as Python, Java, Rust, Go, C++, or TypeScript.
Refactor and optimize code, review and validate peer contributions, and document technical reasoning to enhance AI training data quality.
The company is a rapidly growing, venture-backed AI company that combines world-class human expertise with advanced machine learning to build and improve cutting-edge AI models. It is backed by over $40 million in funding and has a rapidly expanding international network of experts.
Turn product requirements into technical requirements, model the domain, define interfaces, and navigate trade-offs.
Break large problems into work others can own and sequence delivery for early value.
Drive high-impact architectural decisions across the data platform and own components end to end.
Dune is a collaborative multi-chain analytics platform that makes crypto data accessible to developers, analysts, and investors. The team of ~60 employees works across Europe and eastern US timezones with a fully remote-first approach.
Write reliable, secure, and scalable code for Lithic's product platform with minimal tech debt.
Improve system reliability and participate in team on-call rotation.
Own projects from planning to launch, including API key management, audit logging, and search.
Lithic is a modern card issuing and processing platform for financial companies to build the future of payments. They are a team of 170+ across 26 states and 7 countries, with a remote-first culture.
Own and drive impact across the product and open source Argo ecosystem, managing PRs and architectural decisions.
Build and shape the enterprise product with a premium developer experience, turning ideas into features.
Engage with the community, talk to customers, contribute to OSS, and represent the company at conferences like KubeCon.
Pipekit builds software infrastructure for modern data and AI systems and is the primary maintainer of the open-source Argo Workflows project. The company is a remote-first, fast-growing startup focused on Kubernetes-native workflow computing, with a culture of innovation and community engagement.
Design, develop, and maintain internal software, services, and automation using Go and Rust.
Build and operate Kubernetes-based infrastructure and improve developer workflows and CI/CD.
Collaborate across teams to solve ambiguous technical challenges and improve system reliability.
Our partner is a high-growth technology organization building internal platforms to enable efficient engineering. They operate with small, autonomous teams in a high-trust, collaborative remote environment with a focus on technical excellence.
Design and build agent runtime infrastructure with Firecracker, Rust, and Go
Define and enforce security boundaries for running untrusted AI agents
Architect global scale distributed systems for scheduling and orchestration
We build agent sandboxes—runtime infrastructure that is fast, durable, and secure by default for AI systems. We are a small, globally distributed team based in San Francisco backed by forward-thinking investors.