Senior Engineer - Text team (Java, NLP)
Medallia’s mission is to help companies win through customer experience. The world’s best-loved brands trust Medallia’s Experience Cloud™, which embeds the pulse of the customer in an organization and empowers employees with the real-time customer data, insights, and tools they need to make every experience great. Named a leader in the most recent Forrester Wave and ranked in the 2018 Forbes Cloud 100 list, Medallia is growing quickly, with a global footprint that spans Silicon Valley, Austin, New York, Washington DC, London, Paris, Sydney, Buenos Aires, Tel Aviv, and Prague. Here, we value people for each of the aspects that make them whole. We believe that people should not be defined only by a job title—nobody is "just an engineer" or "just a salesperson." We are each partners, parents, children, siblings, friends, and former classmates. We have different backgrounds and we celebrate different cultures. And, just like our product, we honor each of the experiences that build our people.
At Medallia we hire the whole person, not just a part of them.
At Medallia we’re strongly betting on unstructured data processing using NLP techniques and Machine Learning models that enable companies to understand and improve their customers and employees’ experience.
We plan to find new and better insights in increasingly larger volumes of data. And that’s why our Text Analytics team is growing.
In our team we are responsible for the pipelines and services to process data from various sources (reviews, user comments, chat transcripts, call center interactions), for different customers in a scalable and resilient fashion, working with technologies like Kafka, Spark or S3 and integrating with services like Elasticsearch to build our distributed processing farm.
The Text Analytics team is the engineering support for our Big Data challenges and we work very closely with the Data Science team.
We are looking for motivated engineers who want to work in text processing pipelines and scalability problems in distributed systems that handle very large volumes of data from very different sources.
Main technologies: Java, Kafka, Spark, S3, Docker, Kubernetes
- BA/BS degree in Computer Science or related technical discipline, or equivalent practical experience
- 2+years software development experience with Java
- Good command of English
Nice to have
- Knowledge of Distributed Data Processing Systems.
- Experience with API frameworks, e.g. Swagger or RAML, and API lifecycle infrastructure and management tools.
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