5 дней назад
Senior Search Backend Engineer (Elasticsearch)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Search Backend Engineer (Elasticsearch/Scala): Building an integrated search experience, product-discovery API, and search foundations for a PaaS ecommerce backend with an accent on scalable search infrastructure, ElasticSearch, MongoDB, and Kubernetes. Focus on designing non-blocking JVM services, implementing infrastructure as code with Terraform and multi-tenant architecture, and maintaining production systems through on-call rotations.
Location: Hybrid, with three days per week in the Munich, Berlin, London, or Valencia office
Company
provides composable commerce technology that helps enterprises build, scale, and connect digital and physical shopping experiences.
What you will do
- Design and implement search functionality in a PaaS ecommerce backend using Scala.
- Develop search libraries based on ElasticSearch and MongoDB.
- Build and maintain scalable infrastructure as code on Kubernetes using Terraform and multi-tenant architecture.
- Test components for usability, functionality, and performance.
- Collaborate with Product Management and DevOps on search capabilities and infrastructure improvements.
- Participate in on-call rotations for production systems with a globally distributed team.
Requirements
- At least 5 years of software engineering experience with JVM languages and server-side systems.
- Search-related experience, preferably with ElasticSearch.
- Strong DevOps mindset and experience improving infrastructure.
- Experience with REST APIs, scalable architectures, parallel and asynchronous programming, and non-blocking I/O.
- Knowledge of sharding, replication, load balancing, and failover.
- Fluent English required for work in international teams.
Nice to have
- Experience with Scala or other functional programming languages.
- Experience with scalable event-driven architectures, queues, and notification topics.
- Experience with Helm, Kubernetes, Rust, or infrastructure development.
- Curiosity about using AI tools to work more effectively.
Culture & Benefits
- Health benefits for employees and dependents, including personalized mental health support.
- Annual learning budget, self-paced learning platforms, language training, coaching, mentorship, and leadership programs.
- Additional fully paid parental leave through the Family Leave Plus program.
- Equity participation program.
- Inclusive and collaborative working environment focused on experimentation, trust, and diverse perspectives.
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