Zartis - Senior Full Stack Engineer (Backend focused)
Requirements
• Data engineering experience: Bringing ML models and data science solutions to production • E-commerce domain knowledge: Experience with recommender systems, ranking, or information retrieval • Experience with SOLR or other search engines (e.g., Elasticsearch)
Responsibilities
• Own, develop and maintain backend services • Implement API integrations, support frontend development tasks, and contribute to infrastructure automation • Write clean, tested code and actively participate in code reviews • Collaborate closely in agile processes (Jira, Kanban) • Participate in on-call rotations, respond to incidents, and drive proactive problem resolution. • Several years of professional software development experience • Strong backend expertise: Kotlin, Spring Boot, and MongoDB or other NoSQL databases • Proven cloud infrastructure skills: Implementing Infrastructure as Code using Terraform, designing CI/CD pipelines, and ensuring high availability and reliability of production services (Kubernetes, AWS/EKS). • Open and collaborative mindset with demonstrated flexibility in adapting to evolving requirements • Excellent English communication skills (CEFR C1 level) – both technical and interpersonal
Benefits
• 100% Remote Work • WFH allowance: Monthly payment as financial support for remote working. • Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression. • Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events. • Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both. • Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well. • Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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