Principal Scala Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Scala Developer (AI): Designing, developing, and enhancing scalable backend services in Scala with an accent on performance optimization, troubleshooting complex system issues, and driving engineering best practices. Focus on leading scalability work across large-scale applications and mentoring engineers while using AI-powered assistants to improve software delivery.
Location: Bulgaria; Poland; Romania
Company
is a global AI-first digital transformation and engineering partner.
What you will do
- Design, develop, and enhance scalable backend services using Scala.
- Lead performance optimization initiatives across large-scale applications and services.
- Investigate, troubleshoot, and resolve complex technical issues affecting system performance and user experience.
- Collaborate with cross-functional teams to identify bottlenecks and implement effective technical solutions.
- Drive engineering best practices and continuous improvement of the platform.
- Support onboarding and mentoring by sharing technical knowledge and best practices.
Requirements
- Significant commercial experience in Scala backend development at Principal, Staff, or Lead Engineer level.
- Strong background in performance tuning, scalability, and optimization of large-scale systems.
- Proven ability to anticipate, analyze, and solve complex technical challenges.
- Hands-on experience designing and developing high-quality backend applications.
- Good command of English (min. B2).
- Work from the European Union region and a work permit are required.
Nice to have
- Experience applying GenAI in structured SDLC workflows (prompt patterns, tool integrations).
- Interest in emerging AI-driven practices (agent-based workflows, automation patterns, AI-augmented development).
Culture & Benefits
- People-first culture with a strong engineering excellence focus.
- Work with modern cloud and data technologies (AWS, Azure, GCP, Databricks, Snowflake).
- Continuous growth and knowledge sharing across a large engineering organization.
- Mentoring and onboarding support for engineers.
Hiring process
- CV review and HR call.
- Technical interview and client interview.
- Final decision.
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