Composio
Deployed Systems Engineer
About this role
Composio seeks a Deployed Systems Engineer to build production-grade on-premises deployment infrastructure for AI agents. You'll establish best practices for managing stateful agent runtimes in air-gapped and regulated customer environments, transforming manual deployments into a scalable, repeatable product.
What you'll do
- Own on-prem deployment lifecycle including Helm charts, release trains, and upgrade/rollback procedures
- Consolidate diverged customer deployments back to a single supported configuration with safety guardrails
- Build structured onboarding processes to reduce deployment time from weeks to days
- Debug across the full stack: Kubernetes, Temporal workflows, storage backends, and authentication pipelines
- Drive security operations: CVE triage, patching, RCAs, and customer bulletins
- Co-own tool integration patching with the platform team and dogfood Composio internally
What they're looking for
- Kubernetes and Helm chart authoring
- On-premises and air-gapped infrastructure management
- Linux systems administration and troubleshooting
- Fleet management and version control across multiple deployments
- Technical writing for RCAs and security documentation
- AI agent systems and language model experience
- Temporal workflows (optional)
- Self-hosted deployment platforms like Replicated
Benefits
- Work on unsolved infrastructure problems at the frontier of AI agent deployment
- Join a funded startup (Series A, $25M) with strong founder network
- San Francisco location with high-growth team
- Opportunity to define industry standards for on-prem AI infrastructure
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Composio
Composio builds agent-to-tools infrastructure that enables AI agents to interact with external systems and APIs. The company is hiring AI engineers, deployment specialists, growth engineers, and customer-focused research engineers to expand its platform, improve production deployments, drive adoption, and work directly with enterprise customers.
- Website
- composio.dev
Likely interview questions
- Walk us through your experience running software in environments you don't control—on-prem, air-gapped, or regulated. What was the hardest deployment problem you've solved?
- Tell us about a time you managed Kubernetes and Helm charts across multiple customer environments. How did you handle version skew and rolling out updates without breaking existing deployments?