1

Payroll Software Developer Jobs in New York (NOW HIRING)

Software Engineer (Senior)

New York, NY · On-site

$134K - $176K/yr

Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets ... The ability to quickly understand a domain and translate it into software is the single most ...

Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets ... The ability to quickly understand a domain and translate it into software is the single most ...

Senior Software Engineer

New York, NY · On-site

$134K - $176K/yr

Toku is a global employment and payroll infrastructure for token compensation. We power stablecoin ... Engineers and Non-engineers use AI tools to build alongside you. You will review their work ...

Senior Software Engineer

New York, NY · Remote

$134K - $176K/yr

Toku is a global employment and payroll infrastructure for token compensation. We power stablecoin ... Engineers and Non-engineers use AI tools to build alongside you. You will review their work ...

Payroll Associate

Hauppauge, NY · On-site

$50K - $60K/yr

Knowledge of accounting software, QuickBooks, and other applications is desirable. Proficiency in ... Engineering, Logistics, Project Management and Quality Control across the U.S. and in more than 40 ...

Payroll Clerk

Hauppauge, NY · On-site

$40K - $50K/yr

High School diploma required. • 1-2 years of direct experience using ADP software is desired ... Engineering, Logistics, Project Management and Quality Control across the U.S. and in more than 40 ...

Payroll Clerk

Hauppauge, NY · On-site

$40K - $50K/yr

Knowledge of accounting software, QuickBooks, and other applications is desirable. Proficiency in ... Engineering, Logistics, Project Management and Quality Control across the U.S. and in more than 40 ...

Showing results 41-60

Payroll Software Developer information

See New York salary details

$52.5K

$122.4K

$181.6K

How much do payroll software developer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for payroll software developer in New York is $122,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $142,200.00 per year, depending on experience, location, and employer.

Which software is mostly used for payroll software developer?

Payroll software developers commonly use tools like QuickBooks, ADP, SAP, and Oracle HCM Cloud, which are widely adopted in the industry for payroll management. Proficiency in programming languages such as Java, C#, or Python, along with database skills, is also important for developing and customizing payroll software solutions.

What are some common challenges faced by payroll software developers, and how do teams typically address them?

Payroll Software Developers often face challenges such as keeping up with ever-changing tax regulations, ensuring systems remain secure and error-free, and integrating with various third-party platforms like HR or accounting systems. Teams typically address these issues through regular regulatory training, automated testing, code reviews, and strong collaboration with compliance and finance experts. You can expect to work in cross-functional teams, participate in agile sprints, and have opportunities to consult with end users to gather feedback. This collaborative approach ensures the software stays current, accurate, and user-friendly.

What does a payroll software developer do?

A Payroll Software Developer designs, develops, and maintains software that automates payroll processes, ensuring accurate and timely employee payments. They work with databases, compliance regulations, and integrations with accounting and tax systems. Their role includes troubleshooting, optimizing performance, and implementing security measures to protect sensitive payroll data.

What are the key skills and qualifications needed to thrive as a payroll software developer?

To thrive as a Payroll Software Developer, you need strong skills in software development (especially with languages such as Java, C#, or Python), a solid understanding of payroll processes, and a degree in computer science or a related field. Familiarity with payroll platforms (like ADP or Paychex), experience with database management systems, and potentially certifications in payroll or accounting software are highly beneficial. Excellent problem-solving, attention to detail, and effective communication enable collaboration with HR and finance teams and help interpret complex requirements. These competencies ensure the development of reliable, compliant payroll solutions that meet the evolving needs of businesses.

What are popular job titles related to Payroll Software Developer jobs in New York? For Payroll Software Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Payroll Software Developer jobs in New York look for? The top searched job categories for Payroll Software Developer jobs in New York are:
Infographic showing various Payroll Software Developer job openings in New York as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,362 per year, or $58.8 per hour.

Software Engineer (Senior)

Maximor AI

New York, NY • On-site

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago


Job description

About Maximor
Most AI companies are building copilots.
Maximor is building the AI operating system for the CFO office. Our Audit-Ready AI Agents connect to a company's existing finance stack-ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, and Slack-and automate the work behind behind the entire order to cash process, record to report process, treasury management, financial reporting and and audit readiness.
The goal isn't to help the finance team write better prompts.
The goal is for finance teams to review exceptions while AI does the rest.
What makes Maximor different is our Unified Finance Context-a financial understanding layer that captures transactions, policies, contracts, historical decisions, and accounting judgment. On top of it sit Audit-Ready AI Agents that can reason, explain their decisions, escalate uncertainty, and continuously improve.
We've raised $9M led by Foundation Capital, alongside BoldCap, Gaia Ventures, Aravind Srinivas (CEO of Perplexity), and finance leaders from Zuora, Ramp, Gusto, MongoDB, Zoom, and the Big Four.
What You'll Own
You won't own tickets-you'll own a piece of the future accounting stack.
Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ships it end-to-end with a pod of 2-3 engineers.
No PM writes your specs. No architecture committee approves your ideas. You work directly with controllers, accountants, and CFOs to understand the problem, then build the system that replaces the manual process.
Problems Worth Your Brain
  • How do you build AI agents that finance teams and auditors can trust? Verification, guardrails, observability, and evaluation systems for non-deterministic AI.
  • How do you give an agent the right financial context? Context engineering over transactions, ledgers, contracts, policies, and historical decisions-without bloat, drift, or data leakage.
  • How do you turn messy enterprise systems into a unified source of truth? Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.
  • How do you orchestrate durable AI workflows in the real world? Long-running, replay-safe workflows across flaky, stateful enterprise systems.
  • How do you safely write back to systems of record? Idempotent, audit-ready updates to ERPs and financial systems with full traceability.

A Few Strong Opinions
  • The engineer who can't operate AI agents fluently is becoming obsolete, fast. Fluency with Claude, Cursor, and internal agent tooling is a second cortex.
  • "Backend vs. frontend" is dissolving. The agents do the typing. The constraint is product judgment, system design, and the ability to close the loop from problem to shipped feature. Our engineers ship full-stack when the work calls for it.
  • The pod is the unit of leverage. Two engineers who can hold an entire module in their heads ship more than ten engineers who each own a slice. Specialization across pods, generalist within them. Our engineers raise the ceiling for every pod.
  • The accountant + engineer loop is the moat. Engineers who sit with controllers and build from what they see compound faster than the ones who don't.

What Great Looks Like Here
  • You can learn a finance workflow in the morning and ship it by the end of the day. The ability to quickly understand a domain and translate it into software is the single most important skill on the team.
  • You think like an owner. You're a current or future founder who scopes your own work, thinks from the customer's perspective, owns decisions, and drives outcomes without waiting for direction.
  • You solve problems end to end. The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.
  • You care about getting it right. A 100% solution beats an 80% one. When something breaks, you go to root cause.
  • You operate AI coding agents at a high level. You have opinions about which agent to use for which task. You've shipped real production code through them.

What You Should Have Done Before
  • 5+ years of software engineering, mostly backend or infrastructure.
  • Strong backend chops in a modern language - Python, Go, Java, Rust, or similar. Our stack is Python; if your deep experience is elsewhere, ramp fast.
  • Built hard backend systems - distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.
  • Worked at an early-stage startup (pre-seed through Series B).

You'll Stand Out if
  • You've worked in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.
  • You've built production AI agents, not just demos.
  • You've built evaluation frameworks, verification systems, or observability platforms for AI.
  • You've worked with data warehouses, financial systems, or enterprise integrations.
  • You've been the engineer customers asked for by name.

The Upside
  • Exceptional teammates with high ownership and direct access to customers, CFOs, controllers, and founders.
  • Top-of-market compensation and meaningful early-stage equity.
  • Full medical, dental, and vision coverage for employees and dependents, plus 401(k) match.
  • Meals, a stocked NYC office, and the chance to help define an entirely new category: Audit-Ready AI for Finance.