Kendago is a global AdTech leader leveraging advanced digital optimization and creative technologies to profitably scale some of the world’s most successful DTC brands. We are looking for a Senior Full-Stack Developer to join our growing R&D team. This role is a key addition to a small, high-impact engineering group building one of Kendago’s core technologies — a React-based funnel engine that sits at the heart of Kendago’s business activity and long-term technological vision. This is a front-end–leaning full-stack role (approximately 70% front-end / 30% back-end), ideal for someone who thrives in an intensive, collaborative environment and enjoys building scalable, flexible systems that directly impact business performance. Requirements - 8+ years of professional experience as a Full-Stack Developer - Strong hands-on experience with React and modern front-end development - Minimum 2 years of experience with Node.js or Python development - Strong understanding of TypeScript and modern JavaScript - Strong understanding of databases, data structures, and data flow across web components, with the ability to design and implement complex data processes - Proven experience working on complex, flexible front-end systems or engines - Strong system design, architecture, and problem-solving skills - Experience working with AWS or similar cloud platforms - Excellent English proficiency (spoken and written) - Ability to work independently while maintaining close collaboration within a remote team Responsibilities - Design, develop, and maintain scalable, high-quality web applications, with a strong focus on front-end development using React - Take ownership of features end-to-end, from design and architecture to implementation and optimization - Develop and maintain robust server-side services and APIs using Python - Work closely with team members in a highly collaborative, fast-moving Agile (Kanban-based) environment - Participate in system design discussions and contribute to architectural decisions - Ensure code quality through testing, reviews, and performance optimization - Take part in QA processes for internal development as well as external client funnels - Communicate technically with internal and external stakeholders when required - Act as a strong team player, sharing ownership, responsibility, and knowledge within a tightly connected team

• Engage regularly with model developers, validators, and risk stakeholders to understand their evolving data needs for model development, monitoring, and governance. • Partner with credit analytics, risk, fraud, marketing, and operations functions to identify, define, and prioritize use cases requiring model-ready data. • Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices. • Support pipeline development by designing and maintaining automated end-to-end ML pipelines for data collection, preprocessing, feature engineering, and model training. • Conduct data transformation by converting raw observations into variables (features) that machine learning models can understand, such as turning timestamps into cyclical time features. • Transforming theoretical data science prototypes into robust, high-performance software systems that can handle large volumes of real-time data. • Build and maintain automated pipelines that handle not just code, but also data validation, model training, and artifact management. • Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes). • Provide thought and technical leadership in generating new signals from raw data by applying techniques such as normalization, scaling and categorical encoding. • Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking. • Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).

Keller Executive Search is seeking a dynamic Software Development Manager to lead a talented engineering team dedicated to advancing AI-driven software products in the defense sector. In this role, you will oversee software development projects from conception through deployment, ensuring high-quality deliverables that meet stringent regulatory and performance standards. You will collaborate closely with cross-functional teams including product management, AI researchers, and hardware engineers to drive innovation and maintain agile development practices within the team. The Software Development Manager will be critical in mentoring engineers, managing resources and schedules, and fostering a culture of continuous improvement and technical excellence within the software organization.

• Analizar, modificar y probar componentes COBOL para reemplazar funcionalidades basadas en IDMS, asegurando la correcta migración hacia Db2 en z/OS. • Ajustar y optimizar código COBOL con SQL/Db2 (cursors, commits, locks, precompilación) y acceso a tablas Db2. • Diseñar, ejecutar y documentar pruebas unitarias e integradas; colaborar en la resolución de defectos y acciones de hardening. • Participar en el plan de corte: pruebas finales, sincronización incremental, control de errores, y ejecución de rollback si fuera necesario. • Preparar y mantener JCLs, jobs batch y artefactos de despliegue; colaborar con equipos globales de Legacy Transformation bajo prácticas ágiles. • Documentar cambios técnicos y funcionales, promoviendo buenas prácticas de calidad y observabilidad en mainframe.