Senior Software Engineer, Text Analytics (Java, NLP)
Medallia · Buenos Aires, Argentina ·
- Seniority
- Senior
- Category
- Software engineering
- Experience
- 4+ years
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Senior backend engineer on Medallia's Text Analytics team, building and operating large-scale pipelines that process unstructured customer/employee feedback data using NLP, ML, and Generative AI. Day-to-day work centers on Java with Kafka, Kubernetes, S3, Docker, and integrations with Elasticsearch, ML models, and LLMs. Hybrid role: 3 days onsite in Buenos Aires.
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
Candidates based in the Buenos Aires vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
Minimum Qualifications
Preferred Qualifications
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 [email protected]. 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.
oportun · Remote - India