Job Description

About Onsetto

Onsetto is building a white-label, AI-powered platform that simplifies and accelerates commercial bank account switching. We automate complex AR, AP, and payroll transitions so financial institutions can win more business, grow deposits, and establish primacy—with bank-grade reliability.

Our systems sit directly in critical financial workflows. Reliability, security, and operational discipline are part of the product.

We are working at the intersection of:

• AI systems used in real production environments
• Regulated financial systems that require auditability and control

This is not a sandbox. What we build must work consistently, under real constraints.

About the Role

This role is for early-career engineers who want to become strong generalists by working on real systems.

You will contribute across backend services, system reliability, testing, and release processes. The goal is not to specialize early, but to build a deep understanding of how production systems behave—and how to make them better.

You will be expected to:

• Understand how systems work end-to-end
• Identify where they fail
• Improve them with increasing ownership over time

This is not a ticket-taking role. You will be responsible for outcomes.

What You Will Do

• Build and improve backend services and APIs
• Write automated tests and ensure system reliability
• Debug issues across the stack (not just your code)
• Improve CI/CD pipelines and release processes
• Use LLM tools (Copilot, etc.) effectively to increase development velocity
• Participate in production issue investigation and root cause analysis
• Work with engineering and product to define clear, testable requirements
• Contribute to how we measure system quality, reliability, and performance

What We Are Looking For

• 1–3 years of experience building software (internships, projects, or self-directed work count)
• Ability to write clean, working code in Python, JavaScript, or similar
• Strong understanding of how systems work (APIs, data flow, failure modes)
• High attention to detail and structured thinking
• Evidence of ownership (projects you drove, not just contributed to)
• Comfort using modern development tools, including LLM-assisted workflows

Strong Signals

• You have built and shipped something end-to-end (not just coursework)
• You debug problems independently before asking for help
• You think about edge cases, not just happy paths
• You care about whether systems actually work in production
• You use tools (including AI) to move faster without lowering standards

What Success Looks Like

• You identify issues before they reach customers
• Systems you touch become more reliable over time
• You move from guided execution → independent ownership
• You improve not just code, but how the team builds and ships

How We Work

We operate with a small set of principles:

• Focus on a small number of important goals
• Measure what matters and make it visible
• Own outcomes, not just activity
• Ship consistently and improve through discipline

You will be expected to operate this way from day one.

Who Should NOT Apply

• You are looking for a purely remote role
• You prefer clearly scoped tasks over ambiguous problems
• You are not interested in understanding systems beyond your immediate work
• You rely heavily on direction and struggle to operate independently
• You are uncomfortable being measured on outcomes and system performance
• You want to specialize narrowly early in your career

Compensation

• Competitive, market-aligned salary for Columbus, Ohio
• Additional compensation and growth tied to performance and impact

Why This Role

This is an opportunity to build real engineering judgment early.

You will work on systems used by financial institutions, learn how production systems behave under real constraints, and develop the ability to own and improve them.

If you want to become a strong engineer by working on meaningful systems—and are willing to be held to a high standard—this is the environment to do it.

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