• Develop and maintain mobile applications using React Native with a focus on performance, quality, and scalability. • Define and implement best practices, architectural patterns, and development guidelines. • Integrate applications with REST and GraphQL APIs. • Work with CI/CD tools and contribute to efficient pipelines. • Perform code reviews, provide mentorship, and offer technical support to junior and mid-level developers. • Collaborate with designers, product managers, and QA to ensure consistent, product-aligned deliveries. • Monitor and optimize application performance across different devices and platforms. • Actively participate in technical decisions and the product roadmap.

• Entwicklung : Du entwickelst KI-Lösungen in Python, wobei du deine Kenntnisse anwendest und vertiefst. • Innovation : Du erkundest neue Technologien wie SAP BTP und bringst deine Ideen für deren Einsatz in unsere Projekte ein. • Administration : Du stellst sicher, dass unsere Systeme reibungslos laufen und behebst auftretende Probleme. • Datenanalyse : Du analysierst und interpretierst Daten aus verschiedenen Quellen und bereitest diese mithilfe von Reporting-Tools auf.

Pay: $110,000 - $125,000 per year Job Description: Python Developer The Python Developer is responsible for designing, developing, and implementing Python based automation to execute the reconciliation process. They are responsible for building robust, scalable ETL data pipelines that extract, transform, and load data from multiple sources into an integrated platform. This role develops, tests, and deploys Python automation scripts and workflows, ensuring accuracy, efficiency, and reliability throughout the reconciliation lifecycle. Working within cloud and enterprise data environments, they collaborate closely with technical leads and stakeholders to translate requirements into well-architected, maintainable solutions and continuously enhance automation performance. Key Responsibilities: - Design, develop, and maintain robust ETL pipelines for data integration across multiple sources. - Refactor existing code and automated processes into Python, validating functionality through detailed test cases and user feedback. - Implement scalable data solutions using Python and cloud-based platforms such as Databricks and Apache Airflow. - Collaborate with data scientists and analysts to ensure seamless data accessibility and usability. - Optimize data architecture and workflows to enhance efficiency, performance, and security. - Troubleshoot data pipeline issues and ensure data integrity across systems. The ideal candidate must have the following experience, background, and credentials: - 3+ years of experience in data and automation engineering with a strong focus on Python - 3+ years of experience developing, maintaining, and administrating SQL databases - 2+ years of experience working with cloud-based data platforms such as Databricks, Apache Airflow, or other AWS services (e.g. Lambda, S3) - Experience designing, testing, and deploying robust ETL workflows and integrate with enterprise data systems. - Be a U.S. citizen able to pass a background investigation by the client agency. DHS clearance with CBP/ICE, or DoD Top-Secret preferred. Preferred Skills: - Experience with Optical Character Recognition (OCR) and Document Understanding frameworks (e.g., AWS Textract, Tesseract, or layout-aware models) - Familiarity with DevOps practices such as version control, CI/CD, and containerized deployment. Job Type: Full-time Work Location: Remote Experience: - Python: 3 years (Required) Benefits: - 401(k) - 401(k) matching - Dental insurance - Employee assistance program - Flexible schedule - Flexible spending account - Health insurance - Life insurance - Professional development assistance - Tuition reimbursement - Vision insurance Application Question(s): - This position requires U.S. citizenship. Are you a U.S. citizen ? - Do you have a DHS or a DoD clearance ?

• Actively collaborate in the development of new features, improvements and bug fixes for the application backend. • Develop and maintain efficient applications using Python and frameworks such as FastAPI; have experience managing transactions in PostgreSQL/MySQL. • Actively participate in sprint planning, providing accurate task estimates. • Ensure code quality by following development best practices (use of linters defined by the team) and implementing automated tests (using pytest and coverage). • Collaborate with design and product teams to deliver integrated, optimized, high-quality solutions. • Implement and maintain integrations with external APIs, ensuring smooth communication between systems. • Use Docker to create consistent and scalable development environments. • Apply knowledge of AWS or similar platforms for deploying and managing applications in the cloud. • Use AI tools such as Cursor, Claude, Copilot or equivalents for: - accelerating coding - refactoring - writing and improving tests - code analysis and debugging