Design, build, and maintain backend systems and APIs that power Wikidata’s query infrastructure.
Improve reliability, observability, and automation of the Wikidata Query Service and data pipelines.
Collaborate with SRE, data engineers, and product teams to ensure stability and scalability under growing usage.
The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and other free knowledge projects. It is a remote-first organization with staff in over 40 countries, dedicated to open knowledge and a mission-driven culture.
Design, implement, and ship features for the Temporal server.
Solve distributed systems challenges across areas such as task matching, scheduling, workflow execution, and visibility.
Improve the reliability and operability of the server through testing, observability, and documentation.
Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox and are building the team to make that happen.
Design, develop, and maintain scalable, reliable, and efficient backend services.
Build new product capabilities while enhancing existing systems and improving platform performance.
Solve complex engineering challenges related to scalability, reliability, distributed systems, and backend architecture.
This company provides a modern engineering operations platform used by organizations worldwide. It is a remote-first organization with a collaborative culture focused on ownership, growth, and engineering excellence.
Design and build the agent execution harness, owning the orchestration layer that routes inputs, manages context, and handles multi-step agentic workflows at scale.
Ensure reliability, observability, and fault tolerance in production AI systems while optimizing for latency and cost.
Lead eval engineering and prompt infrastructure to maintain agent quality and drive data-informed decisions across model updates.
ServiceNow is an AI platform company that automates workflows and helps businesses reinvent themselves through its AI control tower. It serves 85% of the Fortune 500 and fosters an AI-native culture focused on innovation and talent.
Design, develop, and maintain scalable backend services in Go for data ingestion, storage, and querying.
Own and evolve critical platform components including APIs, messaging systems, and query-serving architectures.
Drive architectural decisions for system reliability, scalability, observability, and operational excellence.
Our partner is a company building foundational systems for large-scale data platforms and analytics capabilities, focusing on distributed backend services. They offer a remote-first, high-ownership environment with cross-functional collaboration and AI-driven productivity tools.
Design, develop, and maintain high-performance Golang services for a scalable cloud platform.
Architect and evolve core gRPC API services using modern frameworks like ConnectRPC.
Build and operate secure microservices infrastructure, manage identity systems, and implement security strategies.
Jobgether uses AI-powered matching to review applications and share top-fitting candidates with hiring companies. It is a technology platform that processes personal data under applicable data protection laws like GDPR.
Design, develop, test, and release new database features for a distributed database platform.
Improve system performance, scalability, and reliability by optimizing query execution and infrastructure.
Collaborate with a fully remote global engineering team to drive technical decisions and innovations.
The partner company builds cutting-edge distributed database technology for secure access control systems. It is an early-stage technology company with a supportive engineering culture and a fully remote global team.
Design and implement scalable sandboxed execution environments for intelligent agents and code execution systems.
Own the full development lifecycle from architecture and implementation to deployment and maintenance.
Collaborate closely with research, engineering, and platform teams to deliver solutions that enable experimentation and product development.
The company builds cutting-edge AI infrastructure, focusing on secure and scalable execution environments for intelligent systems. It is a collaborative and research-driven organization with a people-first culture that values diversity, curiosity, and collaboration.
Develop an understanding of the Core team's domain and technology stack, handling small-to-medium features with support from senior engineers.
Write code adhering to standards, participate in code reviews, and use version control to manage changes and maintain workflow.
Troubleshoot and debug issues, collaborate with team members, and participate in on-call duties to ensure platform reliability.
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry. With over 800 restaurant brands trusting its open platform, it processes millions of orders daily and fosters a culture of innovation and collaboration.