Manufact is Hiring a Senior Infra Engineer to Build the MCP Cloud

When Anthropic quietly dropped the Model Context Protocol in late 2024, it sparked a silent land grab among developers. Suddenly, the race wasn't just about building smarter models, but connecting them to local databases, APIs, and secure files. Enter Manufact, a Y Combinator S25 startup that has set its sights on becoming the Vercel for this new ecosystem. To pull this off, founders like Luigi Pederzani need serious technical muscle, which is why they are actively hunting for a Senior Infrastructure Engineer.

This is not your standard corporate DevOps gig shuffling YAML files. The role, which pays between $100,000 and $180,000 with up to 0.70% equity, is about building the bedrock for the Claude Connectors marketplace and the ChatGPT App Store. Operating out of San Francisco or working remotely, the chosen engineer will architect the cloud infrastructure that allows AI agents to securely interact with external data sources in real-time.

The Quest to Standardize AI Connections

Right now, connecting a custom database to an AI agent is a messy, fragmented process. Every developer is essentially writing bespoke integration code, hoping their APIs do not break under the load of unpredictable LLM queries. Manufact wants to abstract all of that pain away by providing a unified cloud platform for MCP servers.

"The team that standardizes how AI agents talk to databases will control the pipeline of the next decade of software development."

If you have spent 3 or more years wrangling cloud environments, this is your sandbox. The job requires deep familiarity with major public clouds like AWS, Azure, and GCP, paired with strong TypeScript skills. It is a rare chance to design an entirely new category of developer tooling from scratch.

Why the Infrastructure Layer Wins the AI War

While the public remains obsessed with which LLM scores highest on academic benchmarks, developers know the real bottleneck is data access. An AI agent is only as useful as the tools it can access. By building the infrastructure layer, Manufact is positioning itself as the essential tollbooth for AI-to-app communication.

📌 Key Point: The next generation of software dominance will not belong to the companies training the largest models, but to the infrastructure startups that make those models safely actionable in production.

This role also comes with the high-stakes pressure of a fast-moving YC startup. You will be working directly with the founders, making architectural decisions that will affect thousands of developers. The company is even willing to sponsor visas for the right talent, proving just how competitive the market for infrastructure engineers has become in Silicon Valley.

What the Role Demands

• Experience: Minimum of 3 years in devops, platform engineering, or systems architecture.
• Tech Stack: Expert knowledge of AWS, Azure, or GCP alongside production-grade TypeScript.
• Location: Based in San Francisco, CA or fully remote within compatible time zones.
• Compensation: A salary range of $100K to $180K plus 0.10% to 0.70% equity.

Key Facts

• Funding: Backed by Y Combinator as part of the S25 cohort.
• Compensation: Salary range of $100,000 to $180,000 with equity upside.
• Core Focus: Building the cloud platform for Model Context Protocol (MCP) servers.

Conclusion

As AI agents transition from simple chatbots to autonomous workers, the plumbing that connects them to our data will become the most valuable real estate in tech. Will Manufact successfully establish itself as the default host for this new era, or will legacy cloud giants build their own native workarounds first?