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Sobre esta vaga de Software Engineer (Staff), Financial Platform & Infra na micro1

micro1 · Remoto · Remote — 58 countries

Job Title: Software Engineer (Staff), Financial Platform & Infra


Job Type: Full-time


Location: Remote


The Role

We're looking for a Staff Software Engineer to architect and build our financial infrastructure from the ground up. You'll own the systems powering global payouts, payment processing, ledgering, reconciliation, and financial controls, ensuring every expert gets paid accurately and on time.


This is a highly hands-on, high-ownership role for an engineer who has previously designed and built financial systems at scale. You'll set the technical direction for our payments infrastructure, working closely with engineering, finance, operations, and leadership to build reliable systems that can support our next stage of growth.


What You'll Be Doing

  1. Architect and build scalable financial infrastructure from scratch, owning the technical roadmap for global payments and payouts.
  2. Design reliable, idempotent payment workflows across multiple currencies, payment rails, and providers, with safe retries and robust failure handling.
  3. Build double-entry ledgering, reconciliation, and audit systems to ensure accurate tracking of financial transactions.
  4. Integrate global payment providers, banking partners, and payout rails, including ACH, SEPA, SWIFT, and local payment networks.
  5. Develop financial controls, monitoring, approval workflows, and fraud prevention mechanisms to safeguard money movement.
  6. Design resilient, event-driven systems capable of handling provider outages, delayed settlements, failed transactions, and high transaction volumes.
  7. Lead architectural decisions, technical design reviews, and complex migrations while maintaining payment accuracy and operational continuity.
  8. Partner directly with founders, finance, and operations to translate complex financial requirements into reliable, scalable engineering solutions.
  9. Establish engineering best practices for financial correctness, observability, incident response, and long-term platform reliability.


What We're Looking For

  1. 8+ years of backend software engineering experience, including significant technical ownership of production financial systems.
  2. Proven experience architecting and building payment, payout, or ledger infrastructure from scratch, taking systems from initial design through production and scale.
  3. Deep understanding of payment processing, money movement, transaction lifecycles, idempotency, concurrency, and distributed systems.
  4. Hands-on experience designing double-entry ledgers, financial reconciliation processes, and auditable transaction systems.
  5. Experience integrating payment providers and banking infrastructure across multiple payment rails, currencies, and geographies.
  6. Strong backend engineering skills in TypeScript or similar languages, with expertise in SQL, relational databases, and event-driven architectures.
  7. Experience building highly reliable financial systems with robust failure handling, monitoring, security, and operational controls.
  8. Strong understanding of financial data integrity, transaction consistency, and safe migrations of business-critical systems.
  9. Demonstrated ability to independently own complex technical initiatives, make architectural decisions, and deliver production systems in fast-moving environments.
  10. Excellent communication skills and the ability to collaborate effectively with engineering, finance, operations, and executive stakeholders.


Preferred Qualifications

  1. Experience building global contractor payouts, payroll infrastructure, or cross-border payment platforms.
  2. Familiarity with financial compliance requirements, including KYC/KYB, sanctions screening, tax documentation, and audit controls.
  3. Experience scaling financial platforms to process millions of dollars monthly across multiple countries.
  4. Familiarity with SOC 2, PCI DSS, or financial audit requirements.
  5. Experience with stablecoin or crypto-based payment infrastructure.
  6. Experience building internal finance tools, reconciliation dashboards, or payment operations platforms.
  7. Experience leveraging AI coding agents and AI-assisted development workflows in production engineering.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $200,000 –$260,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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Como este salário de Software Engineer se compara

Esta vaga paga $230,000/yr — acima da faixa típica para vagas de Software Engineer.

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Sobre a micro1

micro1 is a human data and talent infrastructure company focused on improving AI systems through high-quality expert input.


It connects vetted domain specialists with AI teams and enterprises to produce training data, run model evaluations, and improve reasoning performance in advanced AI systems.


The platform combines a talent marketplace with AI-driven screening and matching tools, enabling faster access to specialized contributors for tasks like LLM training, agent evaluation, and structured data creation.

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