Software Engineer II, Text Analytics (Java, NLP)

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.   We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees. We empower exceptional people to create extraordinary experiences together.  Bring your whole self. The Role and Team At Medallia, we are strongly investing in unstructured data processing, combining NLP, Machine Learning, and the latest Generative AI technologies to help companies better understand and improve their customers’ and employees’ experiences. As the volume and complexity of unstructured data continue to grow, we are evolving our Text Analytics platform to uncover richer and more actionable insights at scale. And that’s why our Text Analytics team is growing.   Our team builds and operates the pipelines and services that process large volumes of unstructured data from a wide variety of sources, including reviews, user comments, chat transcripts, call center interactions, and more. We design these systems to be scalable, resilient, and capable of serving the needs of many different customers.   We work with technologies such as Kafka, Kubernetes, and S3, and integrate with Elasticsearch, Machine Learning models, Large Language Models (LLMs), and AI pipelines to build distributed processing systems at scale. We work closely with our Data Science teams to bring NLP, Machine Learning, and GenAI capabilities into production and solve the engineering challenges involved in applying them to large and diverse datasets.   We are looking for motivated engineers who are excited about building large-scale text processing pipelines, solving challenging distributed systems and scalability problems, and helping shape how Generative AI can be applied to extract insights from increasingly large volumes of unstructured data. Main technologies: Java, Kafka, S3, Docker, Kubernetes Responsibilities Ship software that is scalable and robust and then keep it humming. Implement and drive the technical roadmap and product implementation; participate in prioritization and planning pragmatically. Partner closely with dependent teams across engineering to ensure uninterrupted service. Identify gaps in knowledge, tools, and process and work with your manager & PM to address those. Incorporate the best development practices and habits and help build tooling to enforce the same. Work in small teams with innovative engineers in an agile environment with daily standups, demo days, code reviews and research spikes. Candidates based in the Buenos Aires vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.

Minimum Qualifications 3+years software development experience with Java in production environments. BA/BS degree in Computer Science or related technical discipline, or equivalent practical experience. AI-Assisted Workflow & Code Audit: Experience integrating AI coding assistants (e.g., GitHub Copilot, Cursor, Claude or similar) into development workflows, including reviewing, benchmarking, and refactoring generated code for security, performance, and architecture standards. Demonstrated fluency in written and spoken English.

Experience with event-driven and streaming architectures (e.g., Kafka). Experience with application deployment and container orchestration technologies (e.g., Docker, Kubernetes). Experience with API frameworks, e.g. Swagger or RAML, and API lifecycle infrastructure and management tools Database & Data Modeling: Relational database experience using