Software Engineer

We are looking for an experienced Software Engineer with a strong backend and data orientation, a business-oriented mindset, and hands-on experience with agentic AI development to join the IVIX R&D team. You will design, build, and maintain data-intensive applications and backend systems, working primarily with Python and technologies such as Spark and Kafka, alongside data technologies including MongoDB, Elasticsearch, Neo4j, Redis, and Apache Iceberg. Our systems process large volumes of complex data and are deployed both on-premises and as a SaaS offering on Kubernetes. IVIX is the first AI-powered solution designed specifically to address a $20 trillion problem: illuminating the global shadow economy. IVIX leverages Open-Source Intelligence (OSINT) and advanced technologies to reveal illicit business activity around the world, empowering governments in their mission to fight financial crime and close the tax gap. Our platform combines AI technologies - including deep neural networks, large language models, and predictive modeling, with advanced data analytics to rapidly identify large-scale illicit business activity and help government authorities combat financial crime in the digital age. Led by experts in security, technology, tax, and financial crime, and advised by a diverse team of former IRS commissioners, IVIX works with dozens of state and federal government agencies globally. About the postion Develop and maintain backend services and data-intensive systems by key stakeholders, both internally and externally. Design and implement scalable solutions for complex problems involving large volumes of data. Evolve our engineering and architecture to support the growing scale of users, features, and data. Take ownership of features and systems - from understanding the business problems to planning and technical design and through development and post-deployment. Design, build, and maintain APIs and integrations between services. Write and maintain automated tests. Be accountable for data quality on produced data sets and insights on those data sets. Work closely with Product and other engineering teams. Contribute to shared libraries, infrastructure, and engineering best practices. Use agentic capabilities to enhance velocity and impact on our SDLC. Tech Stack Backend: Python , Data: MongoDB, Elasticsearch, Redis, Neo4j, Kafka Data pipelines - Spark, Iceberg Data Orchestration: Apache Airflow Frontend: React, TypeScript- Add here that this is not needed for the role Infrastructure: Docker, Kubernetes, Helm, GitHub Actions Deployment: On-premises and SaaS