Soaring high above the Gardon River, the Pont du Gard is a masterpiece of ancient Roman engineering, blending monumental scale with remarkable precision. Constructed in the 1st century CE, this aqueduct carried water over 30 miles to the Roman colony of Nemausus (modern-day Nîmes, France).

Built almost entirely without mortar, the Pont du Gard relied on meticulously cut limestone blocks, some weighing up to six tons, fitted so precisely that the structure has endured for nearly two thousand years. Its average gradient of 1 in 3,000 (about 0.03%) allowed water to flow steadily and efficiently across the vast distance, a testament to the Romans’ deep understanding of water management and infrastructure design.

Just as the Pont du Gard exemplifies ingenuity and precision, at Mercury, we draw inspiration from such timeless innovations. Our Risk engineers create systems that are not only seamless and reliable but also built to last.

As a Software Engineer (IC2) in Risk Engineering, you’ll contribute features across the stack that make our investigators’ execution faster, decisions clearer, and operations smoother. You’ll collaborate closely with design, product, and risk operations, and you’ll grow your impact by owning well‑scoped tasks end‑to‑end.

The skills we’re looking for are:

• Ownership and follow‑through: Pick up well‑scoped tasks, ask good questions, and land changes that stick. Take pride in tidy PRs and incremental delivery.
• Full‑stack development: Implement UI components and flows, build or refine backend APIs and data models, and keep a close eye on reliability and performance.
• Technical design and documentation: Contribute to design docs, write clear RFCs when needed, and add the right tests and metrics to make changes safe.
• Cross‑team collaboration: Partner with other engineers, product, design, and risk operations to deliver thoughtful and impactful solutions.

The ideal candidate for this role:

• Has 2–5 years of practical experience building product features across backend and frontend.
• Is experienced with, or excited to learn, our frontend stack: React, TypeScript, Redux.
• Is experienced with, or excited to learn, our backend stack: Haskell, Yesod, Persistent, Postgres. Prior Haskell is not required—curiosity and sound engineering are.
• Communicates clearly, balances tradeoffs thoughtfully, and cares about tests, observability, and readable code.

If this role interests you, we invite you to explore our public demo at demo.mercury.com.

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $149,600 - $176,000
• Canadian employees (any location): CAD $136,100 - $160,200

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.]

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