
501 - 1000 employees
Founded 2016
👥 HR Tech
☁️ SaaS
🏢 Enterprise
HR Tech • SaaS • Enterprise
Factorial is a comprehensive HR software company that empowers businesses to optimize their human resource management through automation. It offers a centralized platform for managing employee data, payroll, time tracking, talent acquisition, and performance management, helping organizations streamline administrative tasks and focus on their workforce. With innovative solutions designed for various industries, Factorial aims to improve productivity and facilitate better decision-making for HR professionals.
🔥 12 hours ago
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 12%
🗣️🇪🇸 Spanish Required
Apache
AWS
Google Cloud Platform
Grafana
JavaScript
Kubernetes
Next.js
Node.js
Postgres
Pulsar
Python
React
TypeScript
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501 - 1000 employees
Founded 2016
👥 HR Tech
☁️ SaaS
🏢 Enterprise
HR Tech • SaaS • Enterprise
Factorial is a comprehensive HR software company that empowers businesses to optimize their human resource management through automation. It offers a centralized platform for managing employee data, payroll, time tracking, talent acquisition, and performance management, helping organizations streamline administrative tasks and focus on their workforce. With innovative solutions designed for various industries, Factorial aims to improve productivity and facilitate better decision-making for HR professionals.
• Lead the development lifecycle of AI-powered financial products, using AI in day-to-day work and as part of the product • Solve real business problems with high performance, reliability, and scalability • Lead the delivery of initiatives for the Working Capital team • Ensure operational excellence and product development aligned with business objectives • Raise the bar for execution and technical quality across Engineering • Proactively drive initiatives with the business team • Define clear technical scopes and balance trade-offs • Design distributed, resilient architectures, robust APIs, and relational data models at scale • Apply AI to solve real-world problems with critical judgment and technical rigor • Validate business use cases through automated tests • Manage latency, fallbacks, costs, and observability • Understand, explain, and improve the solutions developed and deployed
• Senior Software Engineer, Tech Lead, or Senior Full-Stack/Backend Engineer with 5+ years of experience building and maintaining transactional systems at scale in digital product environments (SaaS, fintech, or startups) • Autonomy and end-to-end execution with sound business judgment • Ability to define clear technical scopes, balance trade-offs, and communicate effectively • Strong experience designing distributed and resilient architectures • Experience with robust APIs and relational data models at scale • Understanding of the systemic impact of changes on data consistency, user experience, and performance • Strategic use of AI, including automated testing, latency management, fallbacks, cost management, and observability • End-to-end ownership mindset and a strong quality culture • Experience in fintech, credit, or lending companies — nice to have • Experience in high-growth startups — nice to have • Experience working with distributed teams in Argentina, Mexico, Colombia, and the United States — nice to have • Familiarity with infrastructure as code and deployments on AWS/GCP — nice to have • TypeScript, Node.js, React, Next.js or Vite, Python, monorepos, and modular architectures • PostgreSQL, event sourcing, KurrentDB/EventStore, Apache Pulsar, and Temporal or similar technologies • GCP, Kubernetes/GKE, Dapr, KrakenD, Istio, or similar technologies • GitHub Actions, ArgoCD, SigNoz, Grafana, and Sentry or similar tools • LiteLLM, OpenAI/Gemini models, and data extraction or similar technologies
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