Forward Deployed Engineer (New Grad)

ComposioAdded 8h ago

San Francisco, CAInternship

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Quick summaryby newgrad.ai

What you'll do

Manage on-premises agent deployment lifecycle including Helm charts, upgrades, and rollbacks.
Help consolidate diverged customer configurations onto a single supported chart with safeguards.
Streamline customer onboarding to reduce deployment time from weeks to days.
Debug across the full stack: temporal workflows, Kubernetes initialization, storage, and authentication.
Handle security responsibilities including CVE triage, patching, and root cause analysis.

What they're looking for

Experience building in constrained environments like homelabs, VPCs, or self-hosted systems.
Curiosity about Kubernetes and Helm with desire to develop deep expertise.
AI-native background with language model experience and agent opinions.
Linux proficiency and ability to write clear root cause analyses.

Apply on Composio's site.

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Listing wrong or expired, or you're the employer and want it removed? Let us know.

Trustworthy communicator who acknowledges knowledge gaps.

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 lean 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 with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR with customers like Google, AWS, Mercor, Mintlify, Glean and Emergent. running stateful agent infrastructure inside someone else's cluster is new territory. as our FDE intern, you'll help define what reliable, repeatable on-prem agent deployment looks like across customers running us in their own environments.

WHAT YOU'LL DO?

get hands-on with the on-prem lifecycle: helm charts, upgrades, the weekly release train, rollback paths.
help pull diverged customer forks back onto one supported chart, with guardrails.
contribute to onboarding so a new customer deploys in days, not weeks.
debug across the stack: temporal workflows, k8s init ordering, storage, auth-refresh pipelines.
support the security surface: CVE triage, patching, RCAs.

MUST HAVES

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

you've built in environments you don't fully control — homelab, VPC, self-hosted — and like figuring out why systems break.
curious about kubernetes and helm; you want to go deep.
ai native — you've built with language models and have opinions on agents and MCP
comfortable in linux; you can write a clear RCA.
human — you build trust and admit what you don't know.

BONUS

temporal, Postgres, cloud secret managers, self-hosted delivery (kots/airgap), open source or hackathon wins.

From Composio's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.