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Titan (titanmsp.ai)

Senior Platform Engineer

Reposted 13 Days Ago
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In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Design, build, and operate cloud infrastructure as code; embed security into architecture and pipelines; create opinionated developer tooling and CI/CD; implement monitoring, logging, and alerting; and make scalable, cost-conscious platform decisions to support AI-driven MSP integrations.
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Senior Platform Engineer

About Titan:

Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers.


In under a year, we’ve raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team brings together AI product expertise from Scale AI, Google, MIT, and Stanford, with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry’s top providers. Joining Titan means helping redefine how work is done in IT Services and building a $100B company.

About The Role:

As a Senior Platform Engineer at Titan, you will be responsible for building and scaling the infrastructure that supports our AI-driven products. You will own cloud architecture, security standards, and internal developer tooling, ensuring our teams can deliver features quickly and safely. As one of the first platform-focused engineers, you will directly shape how we scale our systems and integrate new MSP environments into Titan’s core platform.

What You Will Do:

  • Own our cloud infrastructure end-to-end. Design and operate it through code, not dashboards. Build systems that can handle the scale, security, and data complexity of an AI-native platform.

  • Set the bar for product security. Embed security into architecture, pipelines, and agent workflows from day one. Ensure our AI systems and data environments meet the trust expectations of the MSPs we integrate.

  • Build the paved path. Opinionated tooling, hardened CI/CD, clear deployment standards.

  • Implement production-grade monitoring, logging, and alerting. Engineer for uptime. Detect issues early. Treat reliability as a feature, not an afterthought.

  • Make long-term decisions that hold up under scale. Optimize for modularity, cost discipline, and operational stability as we grow through Series A and beyond.

Who You Are:

  • 4+ years of software engineering experience, specifically having spent time on a Platform, Core, or Infrastructure team at a startup during its high-growth Series A or B phase.

  • You have either worked as a Product Security Engineer at a startup or have a deep professional obsession with building secure-by-default systems.

  • Strong proficiency in Python, Go, or Node.js. You view infrastructure through the lens of software engineering, not just "ops."

  • You’ve seen how systems break under scale and know how to proactively design against those failures.

  • You are comfortable with ambiguity and are excited by the prospect of being the first person to "own" the platform domain at Titan.

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