Full Stack Python Engineer - Integrations & Workflow Automation at Pearl

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Full Stack Python Engineer - Integrations & Workflow Automation at Pearl. Work Arrangement:. Fully remote, overlapping EST working hours.. Job Type:. Full-time. Salary Range:. based on experience, with performance-based bonuses.. Work Schedule:. 40 hours per week, with core hours between 9 AM – 5 PM EST (flexible based on sprint deadlines).. Locations:. Remote, open to candidates globally.. About Pearl Talent. Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.. Hear why we exist, what we believe in, and who we’re building for: . Watch here. Why Work with Us?. We’re not just another recruiting firm—we focus on placing candidates with exceptional US and EU founders who prioritize the long-term success of their team members. We also provide retention bonuses at 3, 6, 9, and 12 months, as well as community-driven benefits like an annual retreat.. Role Overview. As a . Full Stack Python Engineer. , you’ll take ownership of our Integrations Platform - the infrastructure that powers external system connectivity and real-time, AI-driven workflows. This role blends deep backend expertise with strong frontend skills, as you’ll be building both robust API integrations and intuitive UI components for our visual workflow builder. You’ll work across the full product lifecycle, translating complex business needs into scalable software that directly impacts customers. Ideal for engineers who thrive at the intersection of product and code, and who want to help define the future of intelligent, configurable SaaS.. Key Responsibilities. Back-End Development:. . . Own the integrations platform that connects external systems to real-time, AI-driven workflows. . . Design and scale FastAPI services that support dynamic, customer-configurable workflows. . . Build reusable, intelligent backend nodes using Python, FastAPI, and LangGraph to automate key business logic. . . Interface with both modern APIs and legacy enterprise systems (e.g., SOAP/XML). . . Optimize PostgreSQL queries and ensure high system reliability with Redis-backed caching.. . . Front-End Development:. . . Develop and maintain the visual . workflow builder. using React and TypeScript (Next.js). . . Translate complex backend logic into clear, intuitive UI components used directly by customers. . . Work closely with product and design to ensure frontend UX aligns with customer needs.. . . AI & Infrastructure Integration:. . Implement AI-powered automation nodes using OpenAI, LangChain, and Google Cloud AI services. . . Maintain clean, containerized deployment workflows using Docker and Google Cloud Platform. . . Cross-functional Collaboration:. . Partner with product stakeholders to shape features from concept to production. . . Translate real-world customer pain points into scalable software solutions. . . Contribute to product strategy with a strong understanding of usability and business impact.. . Must-Have:. . 5+ years of professional full-stack engineering experience . . Solid experience with Python (FastAPI), PostgreSQL, and modern backend architecture . . Frontend proficiency in React, TypeScript, and component-based design . . Experience delivering customer-facing features - not just internal tools . . Strong product thinking - you care about the "why" behind the code . . Comfortable working with both RESTful and legacy APIs (e.g., SOAP/XML) . . Strong communication skills and remote collaboration habits. . Nice-to-Have:. . Experience with workflow automation tools or visual builders . . Familiarity with logistics platforms or enterprise system integrations . . Background in AI/ML tools (LangChain, LangGraph, OpenAI APIs) . . Hands-on with Docker and deployment on Google Cloud. . What You’ll Love About This Role. You’ll be building software that feels like magic to our users - combining powerful backend workflows, sleek UI, and AI to automate the world's most complex industries. This is your chance to take ownership of critical systems and help shape a platform poised to redefine how vertical SaaS gets built.. Company Location: Brazil.