Staff Software Engineer – Fintech

Pax8

. Own, build, and operate a technically complex FinTech system with its own technical strategy .

Posted 10/6/2026full-timeRemote • United StatesLead💰 $226,000 - $304,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating complex FinTech systems, with a strong focus on financial controls, compliance, and AI integration. Capable of leading teams through the entire product lifecycle, from architecture to production rollout, while ensuring data integrity and auditability.

Highest-signal resume keywords

FinTech System ArchitectureSubscription Lifecycle ManagementFinancial Controls ImplementationAI Tools ProficiencyMentoring Software Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production System DevelopmentFinancial ReconciliationBilling OperationsData IntegrityAuditabilitySpecification DevelopmentAI Risk ManagementFinancial Error IdentificationUsage-Based ConsumptionPricing Structures

Soft Skills

Decision-MakingProblem-SolvingCollaborationMentoringCommunication

Tools & Technologies

ClaudeEnterprise-Approved AI Tools

Industry Keywords

PIMCPQO2CFEMFXRevenue RecognitionComplianceFinancial TransactionsSubscription ManagementData Privacy Principles

About the role

Key responsibilities & impact

Own, build, and operate a technically complex FinTech system with its own technical strategy
Drive specifications, architecture, implementation, and production operation
Apply domain expertise across product information, pricing, orders, subscriptions, fulfillment, usage, and financial transactions
Build subscription and usage-based commerce capabilities, including metering, token consumption, billing, and settlement
Make consequential decisions about what to build, scale, or retire on ambiguous problems
Optimize the revenue lifecycle end to end across ownership boundaries
Identify high-impact problems and build solutions using AI agents and enterprise-approved tools
Use spec-driven development to define business rules, system behavior, edge cases, and acceptance criteria
Design for financial correctness, data integrity, auditability, and resilient operation
Instrument systems for adoption, usage, reliability, and financial accuracy
Partner with Product, Finance, Compliance, Operations, Commercial, and engineering teams
Implement financial controls and traceability supporting auditability, revenue recognition, taxation, and compliance
Build platform capabilities for trusted financial experiences
Mentor engineers on architecture, domain tradeoffs, validation, and production risk
Identify and address financial errors, data loss, security vulnerabilities, and AI-specific risks before release
Lead discovery, spikes, prototypes, proofs of concept, and hardened production rollouts
Write precise documentation for consuming teams
Present technical direction to engineering and product audiences

Requirements

What you’ll need

Meaningful hands-on experience building and operating production systems across two or three FinTech areas: PIM, CPQ, O2C, FEM, FX, or reconciliation and settlement
Experience with payments, subscriptions, revenue recognition, and/or financial reconciliation
Experience with subscription lifecycle management, usage-based consumption, pricing structures, and billing operations
Ability to implement financial controls and auditable workflows with Finance and Compliance
Ability to translate domain rules into explicit specifications and testable system behavior, including failure scenarios and financial edge cases
Understanding of upstream and downstream effects across financial records, customer access, and operational workflows
Experience mentoring Software Engineers toward owning highly complex systems
Experience taking techniques from research or external sources through prototype, proof of concept, and hardened production rollout
Understanding of AI capabilities and limitations
Proficiency using enterprise-approved AI tools, including Claude
Knowledge of data classification and privacy principles for AI systems
Responsible AI knowledge, including bias mitigation, fairness, and transparency
Advanced prompting proficiency, including multi-turn context setting, chain-of-thought elicitation, structured output enforcement, and iterative refinement
Ability to build and own evaluation and validation infrastructure for AI-assisted or AI-native systems
Ability to scrutinize agent-produced code in highly complex systems
Ability to track AI-specific vulnerability classes and evolving state-of-the-art techniques
Must hold valid right to work in United States

Benefits

Comp & perks

Competitive compensation package
Annual bonus opportunity
Employee stock options
Comprehensive medical, dental and vision coverage
401(k) retirement plan with employer match
Flexible paid time off
Paid volunteer time
Wellness initiatives and employee assistance programs
Continuous learning and development opportunities
Dedicated professional development resources
Collaborative remote-first culture
Access to innovative technologies and AI-powered learning tools
Employer-Paid Life, AD&D, Short-Term Disability & Long-Term Disability Insurance
Flexible Open PTO
Paid Sick Leave
Paid Parental Leave
RTD EcoPass (eligible Colorado-based employees)
Employee Assistance Program (EAP)