2 дня назад
Senior Scala Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Scala Engineer (Scala/Play Framework): Building and optimizing backend services for a large-scale SaaS platform supporting billing, provisioning, automation, and service operations with an accent on scalability, database performance, and distributed systems. Focus on designing cloud-native integrations with AWS, optimizing SQL queries and data models, and ensuring reliable software delivery through CI/CD and production troubleshooting.
Location: Timisoara, Brasov, Bucharest, Cluj-Napoca, or Iasi, Romania
Company
Engineering provides engineering, software, and R&D services to organizations across multiple industries.
What you will do
- Develop and maintain backend services using Scala 2.13 and Play Framework.
- Design scalable solutions for billing, provisioning, automation, and customer service operations within a SaaS platform.
- Optimize database performance through SQL queries, indexing strategies, query profiling, and data modeling.
- Build and support integrations with AWS services and distributed platform components.
- Troubleshoot production issues, resolve defects, deliver new functionality, and collaborate with cross-functional teams.
- Contribute to code reviews, CI/CD pipelines, and software engineering best practices.
Requirements
- Strong hands-on experience with Scala, including collections, Futures, immutability, and functional programming.
- Experience developing backend applications with Play Framework or similar distributed web frameworks.
- Good knowledge of SQL optimization, indexing, query profiling, and relational databases such as MySQL.
- Experience with AWS services, cloud-native applications, or distributed systems.
- Familiarity with CI/CD practices, Git workflows, and pull requests.
Nice to have
- Experience with Redis, Doobie, Squeryl, Grafana/Kibana, or large-scale distributed systems based on Play/Pekko architectures.
Culture & Benefits
- Collaborative and inclusive environment with engineering teams distributed across global locations.
- Flexible working hours and professional development opportunities.
- Access to training programs, learning platforms, certifications, and a digital campus covering areas such as Generative AI, data science, and sustainability.
- Medical services, eyeglasses coverage, meal tickets, and an Employee Assistance Program.
- Employee Share Option Plan.
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