Architect and implement backend services for secure file storage and third-party integrations.
Design event-driven systems for real-time permission propagation at enterprise scale.
Mentor engineers and drive engineering best practices while exploring AI-powered file capabilities.
Addepar is a global data and AI platform that unifies portfolio, market, and client data for investment professionals. Serving over 1,500 firms managing nearly $10 trillion in assets, the company fosters a culture of ownership, collaboration, and continuous learning.
Design, develop, and maintain large-scale distributed database and storage systems.
Build performance-critical infrastructure using Go, Rust, C++, or similar systems programming languages.
Operate production systems and troubleshoot complex reliability, performance, and availability issues.
This company builds and operates large-scale distributed database and storage infrastructure with a focus on low latency and high availability. They offer a fully remote, multinational work environment and comprehensive healthcare coverage.
Architect and ship scalable, mission-critical brokerage systems and APIs.
Provide technical leadership, mentorship, and engineering standards across teams.
Drive operational excellence through monitoring, alerting, and incident response.
Alpaca provides agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, and 24/5 trading. The company has 400+ globally distributed members, is backed by $400M, and values curiosity, empathy, and accountability.
Build and maintain AI agent harnesses: tool calling, agent loops, context management, structured outputs.
Develop reusable tools and modules for AI across model types and sizes.
Design resilient systems for network failures, model errors, timeouts, and retries.
This company develops AI harness and peer-to-peer technology to enable local AI at scale. It is a fully remote, globally distributed engineering environment valuing autonomy, technical curiosity, and continuous innovation.
Design and build the underlying storage system for a general purpose data platform with OLAP and OTLP capabilities.
Take ownership of ingestion, query planning, distributed execution, and storage formats for a multi-tenant SaaS database.
Partner across teams to build APIs and interfaces for AI agents and internal applications to retrieve data.
Grafana Labs is the company behind Grafana Cloud, an observability platform trusted by over 10,000 organizations to ensure reliability and optimize telemetry at scale. They are a 100% remote company with team members across 40+ countries and a collaborative, innovation-driven culture.
Develop and operate highly available systems software for large-scale network operations.
Collaborate with international engineering teams across the full software lifecycle.
Improve engineering practices and mentor less experienced engineers.
The company builds and operates high-reliability software for globally distributed network infrastructure. It fosters a collaborative, international culture that values technical curiosity and continuous improvement.
Provide architectural direction and design guidance for scalable, secure, and resilient systems.
Collaborate with product, engineering, DevOps, and SRE teams to align technology with business strategy.
Lead architecture reviews, mentor teams, and drive consistency across architectural standards.
Our partner is a technology-focused organization that builds scalable and secure enterprise systems. They operate with distributed teams and prioritize modern architectural standards and continuous improvement.
Own architecture health of large-scale distributed systems, including failure modes, capacity constraints, and consistency guarantees.
Identify and remediate systemic risks such as single points of failure, unbounded queues, and data-loss scenarios.
Work hands-on with Node.js/Go and GCP technologies to prototype solutions and resolve complex failures.
This company operates large-scale distributed systems processing billions of events and messages. Its engineering culture values technical rigor, proactive problem solving, and clear cross-team communication.
Set technical direction across Coder’s agent harness, integrations, and workflows.
Design and build production systems in Go, with work across React and TypeScript where needed.
Lead complex projects from early ambiguity through production.
Coder is a leading platform for AI development infrastructure, enabling enterprises to run human and AI-driven workflows in secure, governed environments. The company provides self-hosted, agent-ready workspaces and fosters a collaborative, AI-forward culture.
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.