Arcadeai
Distributed Systems Engineer
San Francisco, CA
Sponsorship not specifiedDetected 70 days ago
TypeScriptPythonGoRubyReactDistributed SystemsBackend DevelopmentMongoDBRedisDatabricksVector DatabasesAWSGCPTerraformHelmLLMsAgentic AISystems EngineeringMentoring
About the role
- The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
- Arcade is the MCP runtime that gives agents the power to do both seamlessly.
- We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did.
Responsibilities
- Build the infrastructure to manage the backplane for all future AI tools
- Design, build, test, and deploy high-performance, secure, production-grade software.
- Develop SDKs and frameworks that make it easy for other developers to build custom tools
- Create integrations with major platforms and LLMs (Google Workspace, Microsoft 365, OpenAi, Anthropic, etc.)
- Build leverage (via AI) - projects that take a week today should take a day next time.
- Strong experience building and maintaining production APIs.
- Experience building developer tools or SDKs
Requirements
- 7+ years of software engineering experience comprising of:
- 5+ years of backend development experience with either Python, Go, Ruby, Typescript, or a similar language and API & Web frameworks.
- 2+ years of experience with infrastructure and deployment (AWS/GCP, Terraform, Helm, etc)
- Track record of writing clean, well-documented, well-tested code.
- Familiarity with LLMs and AI frameworks (Langchain, LlamaIndex, etc)
- Experience with high-scale distributed systems
- Experience leading teams and mentoring more junior developers
- Familiarity with Typescript and a relevant frontend framework (e.g. React)
Skills
- real actions, on real systems, already shipping inside Fortune 100 companies.
- Every AI app needs agentic tools that let AI models take real actions.
- Without tools, AI can only chat.
- With tools, AI can actually do things.
- Think Zapier for AI Actions.
- Think Auth0 for AI.
- Think really big.
- He's done this before - and this time the market is 10x bigger.
- He knows this space better than anyone.
- Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro.
- Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase.
- The Challenge
Company info
- Real deployments with Fortune-100 customers like Morgan Stanley and Open Table
- We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.
- Share your work with our customers and community, building our (and your) brand.
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This listing is sourced directly from Arcadeai's careers page and normalized into a canonical job model.