Central

Software Engineer, Ops Automation

Central

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $180,000 - $250,000 per year

Job Level

Mid-LevelSenior

About the role

  • Central kills back-office work for startups: payroll, benefits, compliance, accounting, taxes using AI agents and human experts
  • Architect mission-critical workflows: design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements
  • Iterate rapidly: ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly
  • Own your domain: act as the technical product lead for core platform areas—set standards for code quality, observability, testing, and operational excellence
  • Delight and empower customers: partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise
  • Push the limits with AI: leverage AI to automate tasks and create new user experiences

Requirements

  • Experienced systems architect: designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, ensuring end-to-end reliability
  • Distributed-transaction specialist: implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—two-phase commits, sagas, idempotency, compensating actions
  • Deep transactional-pipeline expertise: built reconciled workflows with audit trails and automated recovery for financial or compliance-related operations
  • Reliability-first mindset: bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation
  • Scalability & performance focus: understand caching, queueing, rate-limiting, and tuning systems for rapid growth
  • Strategic thinker & communicator: break down complex trade-offs, document designs, and align cross-functional stakeholders
  • Bias toward action & high standards: ship prototypes quickly, iterate based on feedback, and deliver production-ready quality
  • Comfortable leveraging AI to automate processes and create new user experiences