About Middesk:

Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding businesses, bringing together authoritative and proprietary data to help customers verify business identities, onboard customers faster, and manage risk throughout the customer lifecycle.

Today, Middesk is used by more than 700 banks and fintechs, and in 2025 we verified more than 7 million companies. We've also expanded beyond business verification to help companies form, register, manage, and maintain their businesses, supporting more than 50,000 companies in setting up over 100,000 accounts required to hire employees, run payroll, and stay compliant.

Middesk came out of Y Combinator, and is backed by Sequoia Capital, Accel, Insight Partners, and Canapi. We're proud to be named on the Forbes Fintech 50 and Best Startup Employers lists.

About Middesk Engineering:

"Velocity" is the rate at which we effect realized value for our customers, not the rate at which we ship code. We believe that great products result when technical excellence and craft is combined with deep understanding of our customers and the problems we can help them solve. We're a humble, self-motivated team that seeks to ship early and ship often; we pride ourselves with being willing to roll up our sleeves to solve even the messiest problems our customers present to us. Middesk Engineering is customer-first engineering.

About The Role:

We’re looking for an engineer who wants real ownership early: someone independent, curious, and pragmatic, with strong systems instincts and good judgment.

You’ll work across reliability, security, automation, cost, developer experience, and internal platforms. A growing part of the role is building the systems underneath how AI is changing work at Middesk: the infrastructure that lets people and agents collaborate safely, ship faster, and operate with more leverage.

We don’t expect someone to have seen every tool before. We do expect them to learn quickly, care about the details, and take responsibility for systems that matter.

We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF office. Candidates should be based within a commutable distance of San Francisco — this role is built around close, in-person collaboration and mentorship with the team.

What You'll Do:

Design, build, and scale cloud infrastructure and orchestration systems, including Kubernetes, Terraform, and CI/CD, with support from senior engineers who are invested in your growth.
Own and evolve developer experience (DevEx) tools and workflows, from local development to deployment.
Build observability systems that provide insight into performance, reliability, and usage.
Improve the reliability of our production systems through safer deploys, automated rollback, failover, and platform hardening.
Collaborate with Data Scientists, Data Platform and Product Engineers to build shared platform tools necessary to scale our products and services.
Help enforce and maintain security and compliance standards across infrastructure (SOC 2, FedRAMP, etc).
Drive a culture of automation, resiliency, and operational excellence.
Build the infrastructure underneath how AI is changing work at Middesk, including systems that let engineers, operators, and agents collaborate safely and effectively.

What We're Looking For:

3+ years of experience as a software engineer, with genuine interest in infrastructure, platform, or systems work – you don't need to have done this exact job before, but you need to want it.
Strong technical fundamentals: a deep, careful understanding of how systems actually work. This is work you can't vibe-code your way through.
A fast learner who is reliable, humble, and excited to absorb everything from experienced teammates.
Comfort with (or excitement about) work that isn't customer-facing – the impact here is deep, not loud.

Nice-to-Have:

Hands-on experience with Kubernetes, high-availability systems, production infrastructure, or infrastructure-as-code tools (e.g. Terraform) and GitOps workflows — none of this is required, you'll learn our stack here.
Experience building internal platforms, developer tools, automation systems, or AI-enabled engineering workflows.
Experience in a fast-moving startup or another environment where engineers own broad surfaces and learn quickly.