2 часа назад
Senior Software Engineer, Text Analytics (Java, NLP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Text Analytics (Java, NLP) (Java/NLP): Building scalable pipelines and services for processing large volumes of unstructured data with an accent on distributed systems, NLP, machine learning, and Generative AI integration. Focus on designing resilient processing infrastructure, solving scalability challenges, and bringing AI capabilities into production.
Location: Palermo, Buenos Aires, Argentina; hybrid with 3 days per week onsite
Company
provides the Experience Cloud SaaS platform for managing customer, employee, patient, and resident experiences.
What you will do
- Design and implement the technical roadmap and product capabilities for the Text Analytics platform.
- Build, ship, and operate scalable and robust pipelines and services for large volumes of unstructured data.
- Partner with engineering teams to maintain uninterrupted service and address gaps in tools, processes, and knowledge.
- Apply development practices and build tooling that supports quality, security, performance, and maintainability.
- Collaborate in small agile teams through standups, demos, code reviews, and research spikes.
- Mentor junior engineers and contribute to technical talks, presentations, and meetups.
Requirements
- BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
- 4+ years of backend software development experience with Java and high-speed, performant processing pipelines.
- Experience integrating AI coding assistants such as GitHub Copilot, Cursor, or Claude, including auditing generated code for security, performance, and architecture standards.
- Demonstrated proficiency in written and spoken English.
- Experience with production software development using Java or another mainstream object-oriented language.
Nice to have
- Knowledge of distributed data processing systems using Kafka and/or Kubernetes.
- Experience with NLP processing.
- Experience with API frameworks and lifecycle infrastructure such as Swagger or RAML.
- Relational database experience, including PostgreSQL.
Culture & Benefits
- Work in small, innovative engineering teams within an agile environment.
- Participate in daily standups, demo days, code reviews, and research spikes.
- Collaborate with Data Science teams on NLP, machine learning, and Generative AI capabilities.
- Contribute to an inclusive workplace that values diversity and equal opportunity.
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