Member of Technical Staff - Platform

Composio • San Francisco, CA

16d

About The Position

At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling some of the toughest problems in AI and building the most capable bridge between your agents and your tools.
We’re a fast-growing team based out of SF, NYC and BLR. We have raised a $25M Series A from Lightspeed with some incredible agents like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram and 3x our ARR in the last month. Our customer range from your friends in the YC batch to Wabi, Glean, Zoom and many more.
What you'll do?
evolve our platform primitives and APIs — auth, automatic refreshes, triggers, tool search, tool planning, orchestrating and managing sandboxes
manage multiple runtimes for code execution across lambdas and firecracker
performance optimization — tracing, CPU/heap profiling, optimizing db queries, optimizing temporal workflows.
work closely with product engineering teams and customers to win their workloads, improving the product in the process
writing articulate docs

Requirements

• if you are very good, nothing is a must per-se
• core platform engineering
• you've worked extensively in scaling backend distributed systems
• you know how to maintain reliable systems while shipping fast
• you are able to hold many different parts of the platform in mind at once
• ai native
• you have built with the language models
• you have built for the language models
• linux — you are comfortable in a linux enviornment
• typist — you can write docs well and explain complex ideas clearly
• human — you build trust and admit what you don’t know

Nice To Haves

• multiple years of experience writing Typescript, Go
• contributions to a major open source project
• started companies or build large side projects

Responsibilities

• evolve our platform primitives and APIs — auth, automatic refreshes, triggers, tool search, tool planning, orchestrating and managing sandboxes
• manage multiple runtimes for code execution across lambdas and firecracker
• performance optimization — tracing, CPU/heap profiling, optimizing db queries, optimizing temporal workflows.
• work closely with product engineering teams and customers to win their workloads, improving the product in the process
• writing articulate docs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed