---
title: 'Deployed Systems Engineer at Composio'
canonical: 'https://feeny.ai/job/deployed-systems-engineer-composio-san-francisco-zqrf9y4m64zw'
type: 'job'
last_seen: '2026-09-10'
---

# Deployed Systems Engineer at Composio

- **Company:** Composio
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-17
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/composio/a2fd44d1-1457-4248-8d9c-905953016398

## Job description

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 problems from context to search, that help us provide the most capable bridge between your agents and your tools. We raised a [$25M Series A from Lightspeed](https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/) with angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), and Gokul Rajaram. We've 3x'd our ARR this year, and our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more. running stateful agent infrastructure inside someone else's cluster is new territory. this role defines what reliable, repeatable on-prem agent deployment looks like, across the customers running us in their own environments.

## THE FRONTIER YOU'LL WORK ON

- fleet-managing agent runtimes across air-gapped, regulated, BYOK environments has no playbook. you define one.
- turning hand-managed on-prem deployments into a repeatable product. the difference between 5 self-hosted customers and 50.
- every incident, CVE, and upgrade wave here is unsolved at the ecosystem level. your runbooks lead the industry. WHAT YOU'LL DO?
- own the on-prem lifecycle: helm charts, upgrades, the weekly release train, rollback paths.
- drive chart convergence: diverged customer forks back onto one supported chart, with guardrails.
- build structured onboarding (replicated or equivalent) so a new customer deploys in days, not weeks.
- debug across the stack: temporal workflows, k8s init ordering, storage backends, auth-refresh pipelines.
- own the security surface: CVE triage, patching, RCAs, bulletins. keep customers running when releases freeze.
- co-own per-customer tool patching with the platform team.
- dogfood Composio on your own deployment and support workflows.

## "MUST HAVES"

if you are very good, nothing is a must per-se

- core infra engineering – you've run software in environments you don't control: on-prem, VPC, air-gapped. – deep kubernetes and helm: chart authoring, init-job ordering, multi-environment releases. – you keep systems reliable while the product moves fast.
- fleet judgment – you think in version skew, upgrade waves, and rollback paths across many instances. – you separate one customer's bespoke ask from the primitive every install needs.
- ai native – you have built with the language models. – you have opinions on agents, MCP, and where they break in real deployments.
- linux - comfortable deep in the stack.
- typist - your RCAs and security notes earn customer trust.
- human - you build trust and admit what you don't know.

## OPTIONAL

- temporal, Postgres, cloud secret managers (GCP / AWS).
- replicated or packaged self-hosted delivery (kots, airgap bundles).
- compliance: SOC 2, Vanta-style programs, security questionnaires.
- major open source contributions.

## About Composio

## Company Overview
- **One-liner**: Composio provides the infrastructure for AI agents to seamlessly integrate with 250+ tools, enabling agentic actions, managed authentication, and evolving tool skills through collective learning.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Soham Ganatra, Karan Vaidya

## Core Business
- **Primary industry/industries**: AI Agent Infrastructure, Developer Tools, LLM Operations (LLMOps), Integration Platform as a Service (iPaaS)
- **Target customers**: B2B – developers building AI agents, enterprise teams deploying LLM-based workflows, and companies needing secure, scalable tool integrations for autonomous agents
- **Mission or purpose**: “Build infrastructure that enables AI agents to evolve – turning static tools into systems with genuine intuition, where every interaction makes the entire ecosystem smarter.”

## Products & Services
- **Composio Platform**: A SaaS/API platform that provides managed OAuth, sandboxed execution environments, context-aware sessions, tool search, and triggers. It allows AI agents to connect to 250+ apps (CRMs, HRMs, ticketing, productivity, etc.) with zero setup and supports multiple AI frameworks (OpenAI, Anthropic, LangChain, LlamaIndex, Gemini, etc.).
- **Rube (MCP Server)**: A Model Context Protocol server that connects AI tools (Cursor, Claude Code, VS Code) to 500+ apps like Slack, GitHub, and Notion, enabling real actions via natural language.
- **SDKs (Python & TypeScript)**: Open-source SDKs for building custom agent integrations, with full type safety and support for both Node.js and browser environments.
- **Managed Auth**: End-to-end OAuth handling, token refresh, lifecycle management, and granular permission scoping – all inline and triggered by user intent.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding – $29M (Series A announced July 2025, led by Lightspeed Venture Partners; seed round led by Together Fund)
- **Notable Investors/Partners**: Lightspeed Venture Partners (lead Series A), Together Fund (lead seed), plus 11 other investors in the Series A round
- **Growth Signals**: 52 employees (+151.9% YoY), 14,326 LinkedIn followers (+221.8% YoY), 991k monthly website visits (+35.1% YoY), 29k+ GitHub stars, 70+ contributors, 19 active job postings (postings up 58.3% monthly), offices in San Francisco, India, Canada, Nepal, and Colombia

## Competitive Advantages
- **Model & Framework Agnostic**: Works with all major AI providers and SDKs – no lock-in; tools and auth carry over when switching models.
- **Managed Auth at Scale**: Fully managed OAuth for every connector, with just-in-time, scoped permissions – eliminates the biggest integration barrier for enterprise LLM deployment.
- **Sandboxed Execution**: Remote ephemeral sandboxes where tools run as code; results stored on a navigable filesystem for agent browsing.
- **Collective Learning Infrastructure**: Agents share learned heuristics and optimal workflows across the platform – “one agent’s experience improves every agent.”
- **Security & Compliance**: SOC2 Type II certified, ISO 27001:2022 compliant, with fine-grained data access controls and enterprise-grade safety.

## Strategic Focus
- **Current priorities**: Building the “shared learning infrastructure” for AI agents – enabling agents to evolve from static tools into systems that learn from experience. Key areas include capturing tacit knowledge from millions of interactions, turning edge cases into intuition, and making skills evolve with usage.
- **Direction for growth**: Expanding enterprise adoption, deepening integrations (1000+ toolkits), and scaling the platform to support multi-agent ecosystems with real-time learning.

## Why Work Here
- **Culture highlights**: The team is building infrastructure that “shapes AI’s future” and solving hard, unsolved problems in distributed self-improving systems. Emphasis on elegance, autonomy, and collective intelligence.
- **Remote/hybrid/office policy**: Not explicitly defined, but HQ is in San Francisco with offices in the US, India, Canada, Nepal, and Colombia. Hybrid/remote likely depending on role.
- **Notable perks or engineering culture**: Engineers work on cutting-edge LLM infrastructure, distributed systems, and developer tools. The blog highlights a focus on “hard problems no one’s cracked yet” and a commitment to creating “systems that feel magical.” Open roles include Member of Technical Staff (Research Engineer, Product Eng, Enterprise Platform), Growth Engineer, and Founding BDR – indicating a fast-scaling, high-impact environment.

## Sources
1. [composio.dev](https://composio.dev)
2. [LinkedIn – Composio (Sampark Inc)](https://www.linkedin.com/company/composiohq)
3. [GitHub – ComposioHQ/composio](https://github.com/ComposioDev/composio)
4. [Composio Blog – Series A Announcement](https://composio.dev/blog/series-a)
5. [Composio Jobs (Ashby)](https://jobs.ashbyhq.com/composio)

## Other roles at Composio

- [Member Technical Staff - Applied AI Engineer (US Timing)](https://feeny.ai/job/member-technical-staff-applied-ai-engineer-us-timing-composio-bengaluru-t0fbp881dgaa) — Bengaluru, India
- [Product  Ops Intern](https://feeny.ai/job/product-ops-intern-composio-bengaluru-5b7q0frw5k1c) — Bengaluru, India
- [Fullstack Engineer, Product Team (New Grad)](https://feeny.ai/job/fullstack-engineer-product-team-new-grad-composio-san-francisco-e7h1ec1b7qgz) — San Francisco, CA
- [Forward Deployed Engineer (New Grad)](https://feeny.ai/job/forward-deployed-engineer-new-grad-composio-san-francisco-eyca5hq73w0g) — San Francisco, CA
- [Forward Deployed Engineering Internship (Fall 2026 & Winter 2027)](https://feeny.ai/job/forward-deployed-engineering-internship-fall-2026-winter-2027-composio-san-a2brcfkshkhr) — San Francisco, CA
- [Fullstack Engineering Internship, Product Team (Fall 2026 & Winter 2027)](https://feeny.ai/job/fullstack-engineering-internship-product-team-fall-2026-winter-2027-composio-esgpe0tm3dj9) — San Francisco, CA
- [QA Engineer, Integrations and AI Agents](https://feeny.ai/job/qa-engineer-integrations-and-ai-agents-composio-us-pst-nvfvgjarvzfk) — Us: Pst, OR
- [AI Engineer, Developer Relations](https://feeny.ai/job/ai-engineer-developer-relations-composio-san-francisco-ka80sbyb0wvh) — San Francisco, CA
- [Member of Technical Staff, Enterprise Product](https://feeny.ai/job/member-of-technical-staff-enterprise-product-composio-san-francisco-6j5sqetjx3q5) — San Francisco, CA
- [SDET](https://feeny.ai/job/sdet-composio-bengaluru-9qj3arr6ph2s) — Bengaluru, India