Senior Software Engineer (Backend + Data)

Verified; United States; Remote; USD 200,000 - 220,000; Full time

Benefits offered by this job

Equity stake

Health insurance

401(k) match

PTO + sick days

Team trips

Remote in US

Job summary

Verified is seeking a versatile backend engineer to join the core team. You will ship backend features, APIs, and occasional frontend work while delving into production data with rigor to improve product performance.

You’ll diagnose production issues, implement preventive monitors, and contribute to a robust data-driven culture across the engineering function. This is a remote role within the US with strong growth potential.

Qualifications

• Shipped production backend code and APIs with focus on reliability.
• Strong SQL skills and ability to query large production datasets.
• Experience using Python or R for data analysis and statistical thinking.
• Proficient in debugging production issues with clear communication.
• Clear technical writing for docs, bug specs, and incident reports.

Responsibilities

• Build backend features, APIs, and integrations with the team, with occasional frontend work.
• Run production data analyses to improve product metrics and fraud signals.
• Debug production issues by tracing logs and metrics to root cause.
• Monitor customer success and data provider metrics to surface anomalies.
• Assist with infrastructure when needed and maintain reliable systems.

Skills

Backend production

SQL proficiency

Python or R

Debugging

Written communication

Education

Bachelor's degree in a relevant field

Tools

Kubernetes

AWS

Terraform/Terragrunt

ArgoCD / CircleCI

Security/compliance awareness

Job description

Remote (US) · Reports to Liam McCarty, Co-Founder

“We need an awesome engineer who can ship backend features one day and dig into production data the next. You’ll be the engineer closest to our production systems and our data: running the analyses that make our products better, and finding the root cause when something breaks.” — Liam McCarty, Co-CEO

About Verified

• Join team human. We’re building the Verified Network – instant proof of human online. Every person should be able to prove who they are, instantly, on any platform. This is critical infrastructure for the 21st century. AI makes it necessary.
• We’re scaling fast. 8x revenue growth in the last 18 months with zero salespeople. Cash-flow positive, and reinvesting that cash into growth.
• A lean, world-class team. Founded by brothers Aidan and Liam McCarty (Stanford, Forbes 30 Under 30) with top tier investors (Tim Draper, Stanford Farmers) and advisors.

The role

You’ll be a generalist engineer on our core team: mostly backend, full stack when the work calls for it. You’ll ship products alongside our senior engineers, and you’ll analyze production data with scientific rigor.

What you’ll do:

• Build product. Ship backend features, APIs, and integrations with the rest of the engineering team, plus some frontend work when it’s needed.
• Relentlessly improve our data. Run analyses and data studies on production data (data provider coverage and accuracy, signup conversion, fraud signals) and turn the findings into product changes.
• Debug in production. When a customer reports something that needs investigation in production logs or data, you dig in, find the root cause, and ship the fix.
• Catch problems before customers do. Watch customer success and data provider metrics closely, build the monitors that flag anomalies, and surface issues before they become tickets.
• Lend a hand on infrastructure. Our infrastructure is stable and devops is a small part of the job, but you’ll be comfortable stepping in when something needs a look.
• Engineer world class systems. We’re obsessed with building at the cutting edge and are constantly reimagining how technical teams can operate.

Requirements

• Strong software engineer. You’ve shipped and maintained production code, mostly on the backend. Full stack experience is a plus.
• Quantitative background. A degree or real depth in statistics, data science, or a hard science (physics, chemistry, biology, etc.). You can conduct a rigorous analysis, tell signal from noise, and explain what the data does and doesn’t show.
• A relentless debugger. You find the root cause fast, can ship a fix, and communicate effortlessly with our team and our customers.
• A great technical writer. Docs, analyses, bug specs, and incident write-ups that are clear and precise.
• Proactive by default. You’d rather build a monitor that catches a problem than wait for the ticket.
• Startup background. You’ve been a go-to engineer at an early-stage company.
• Speed. Speed is our biggest advantage. When something breaks, you’re on it in minutes, and the customer hears from you until it’s fixed.
• High integrity. We sell trust. You’ll have access to sensitive production data and handle it with care. You tell customers exactly what happened and when it’ll be fixed, never more and never less.
• AI-pilled. You can explain exactly where you use AI, where you don’t, and why. You use it to build, debug, and analyze data faster, and you always check its work.
• Extreme ownership. You own every issue until it’s resolved and the root cause is gone. When something goes wrong, you take full accountability and make sure it never happens again.
• Based in the US. This role requires production access, which we limit to team members living and working in the US.

Skills

Need to have:

• Backend development in production: APIs, services, and relational databases
• SQL: comfortable writing complex queries against large production datasets
• Python or R for analysis, and the statistics to back it up (sampling, hypothesis testing, experiment design)
• Debugging skills: find the cause of a production issue using logs and metrics (New Relic, CloudWatch) and report it clearly
• Good written communication and comfort working async with a remote team

Nice to have:

• Node.js ecosystem
• Frontend experience
• Familiarity with our infrastructure: Kubernetes (kubectl), Helm, AWS (EKS, RDS, ElastiCache, CloudWatch, ECR), Terraform/Terragrunt, and a GitOps workflow with ArgoCD and CircleCI
• Experience with identity data, entity resolution, or fraud detection
• Previous experience with SOC 2 and/or HIPAA compliance

Who you are

You’re an engineer with a scientist’s instincts. You ship production code, and you get a kick out of finding the pattern in messy data. You’d rather measure than guess, you’d rather write a clear doc than answer the same question twice, and when something breaks, you’re the one people call.

This isn’t for you if you want:

• To write code alone and never talk to customers.
• A pure data science or research role with no production engineering.
• Someone else to handle the fires.
• A 9-to-5. We work hard (at least 50 hours a week) toward a big vision, and we take real time to recharge.

Comp and benefits

• $200K to $220K base
• Meaningful early-stage equity. We’ll walk you through the full model on our first call.
• Medical, dental, and vision insurance
• 401(k) with an immediate 3% employer match
• 3 weeks PTO, plus 3 sick days
• Semi-annual team trips, domestic and international
• Remote (but in the US)

How we hire

Four conversations over about two weeks: a call with Liam, a short technical exercise (a real-world debugging and data problem) that we dig into together, a conversation with the engineers, and a final session with both founders. You’ll hear back within 3 business days at every step.

Verified is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital status, or any other legally protected characteristic.