Builds AI-native developer tooling including MCP servers, agents, and CI/CD pipelines to enhance Carta's software delivery lifecycle. Requires 8+ years experience shipping production LLM systems and platform engineering with Python/Java, cloud-native tech.
213k – 250k/yr
On-site8+ YOEDevOps / SRE
About the role
Responsibilities
Build the MCP servers, agents, and plugin infrastructure that Carta's AI native development runs on, and define the patterns other engineers follow
Design and ship agents purpose-built to solve specific developer problems across the software delivery lifecycle
Architect and drive CI/CD pipelines that automate build, test, and deployment to accelerate delivery across R&D
Build the infrastructure AI tooling runs on, so other engineers can build on top of it with confidence
Mentor engineers and raise the technical bar through code reviews and architectural guidance
Requirements
Experience: 8+ years in platform, backend, or fullstack engineering
AI Builder: Shipped production LLM systems (MCP servers/clients, AI extensions, connectors, or agents)
Platform Mindset: Build platforms other engineers use; focus on APIs and developer ergonomics
Tech Stack: Python or Java; CI/CD (CircleCI, GitHub Actions, ArgoCD, Jenkins, Docker); cloud-native (AWS, Terraform, Kubernetes); secrets management (Vault, Cloudsmith) a plus
Senior SRE improves performance, stability, and scalability of distributed systems through load testing, chaos engineering, observability, and infrastructure migrations. Requires 8+ years in distributed systems, Kubernetes, GCP, and backend languages like Python/Go.
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Hybrid8+ YOEDevOps / SRE
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