Software Engineer II, Text Analytics (Java, NLP)

Medallia; Buenos Aires; Híbrido; ARS 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Medallia is seeking a software engineer to join our Text Analytics team in Buenos Aires. You will build large-scale text processing pipelines using Java, Kafka, Docker, and Kubernetes, and help apply AI and ML models to customer data.

You will work in an agile team, participate in code reviews, and collaborate with data science partners to ship scalable features in production. Candidates in the Buenos Aires area will have priority for the hybrid schedule, with 3 days onsite.

Formación

• 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 into development workflows, including reviewing, benchmarking, and refactoring generated code for security, performance, and architecture standards.
• Demonstrated fluency in written and spoken English.

Responsabilidades

• 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.

Conocimientos

Java

Kafka

English

AI-assisted workflow

API design

PostgreSQL

Docker

Kubernetes

Educación

BA/BS in CS or related field

Herramientas

Docker

Kubernetes

Swagger

PostgreSQL

Descripción del empleo

Overview

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.

Qualifications

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.

Preferred Qualifications

• 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 PostgreSQL for data modeling, schema design and query optimization.

At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at [e-mail]. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.