• Design scalable event-driven microservices for high-volume customer interaction • Build robust APIs for web, mobile, and third-party use • Design efficient database schemas and queries • Lead discussions on technical trade-offs • Implement observability: logging, metrics, tracing, alerting • Develop backend features for surveys, messaging, campaigns, analytics, and integrations • Build integrations with external platforms like POS, loyalty programs, and review sites • Write clean, test-covered, maintainable code • Integrate with AI APIs (OpenAI, Anthropic, etc.) to build intelligent features • Apply AI-first development strategies beyond standard coding • Experiment with tools to improve our software development life cycle • Mentor junior and mid-level engineers through reviews and pair programming • Partner with product managers to translate requirements into designs • Collaborate with frontend engineers on API contracts • Share knowledge and define best practices • Help shape long-term technical vision

• Develop and maintain a high performing and scalable backend infrastructure • Collaborate with a growing team of bright engineering minds • Design and develop scalable, high performant backend infrastructure • Maintain and update existing services

• We are seeking a Senior Software Engineer with expertise in web scraping, data processing, and search technologies to help build a large-scale data ingestion and classification system. • You will be responsible for extracting data from diverse sources (web pages, APIs, PDFs), cleaning and normalizing it, and building search capabilities using ElasticSearch/OpenSearch. • You will work with Python, Scrapy, Airflow, Kubernetes, AWS, and Spark to create scalable, high-performance data pipelines. • Build and design large scale, distributed crawling bots (perhaps AI agents) and infrastructure that operate in an adversarial environment aiming at low operational overhead. • Develop and maintain data pipelines to extract data from large volumes of web pages, documents, PDFs (OCR), and APIs. • Help unify heterogeneous documents into a coherent data schema across varied source formats. • Preprocess and normalize raw data for downstream classification, ML/NLP, and search indexing. • Build APIs to expose structured, classified data via ElasticSearch/OpenSearch. • Collaborate with ML/NLP teams to integrate classification models into the pipeline. • Automate workflows using Apache Airflow and deploy solutions in Kubernetes on AWS. • Optimize and scale data pipelines using Spark (EMR) for processing large datasets.

• Design and implement new features in a React/TypeScript codebase; • Manage routes and server-side rendering with React Router; • Build responsive, accessible UIs using Tailwind CSS and modular CSS; • Integrate with backend services via Axios (or similar) and maintain a clean API client layer; • Define and maintain TypeScript interfaces/models for data and service contracts; • Enforce code quality with ESLint, Prettier, lint-staged and Husky pre-commit hooks; • Write unit/integration tests (Jest, React Testing Library or equivalent); • Collaborate with product and design teams to translate requirements into polished UI; • Troubleshoot bugs, optimize performance, and participate in code reviews