Software Engineer, Infrastructure

📋 Job Overview

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.

🏢 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.

🎯 The Role

Middesk Engineering is customer-first engineering. 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.

✅ Key Responsibilities

• 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.

📌 Required Qualifications

• 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.

⭐ Desirable Experience

• 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.

🎁 Benefits

Middesk is committed to equitable and competitive compensation, including equity and benefits. This salary range may be inclusive of several career levels at Middesk and will be narrowed during the interview process. Actual compensation will depend on numerous factors such as: experience, knowledge and skills, qualifications, location, and other job-related factors.

🛂 Visa & Eligibility

Candidates should be based within a commutable distance of San Francisco.