Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль чётко сфокусирована на поиске и масштабной инфраструктуре данных, но без зарплатной вилки сложнее оценить условия, а формат консалтинговой компании может влиять на долгосрочную стабильность проекта.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Elasticsearch, Scala): Building and optimizing backend services and search infrastructure for a food search and logging platform with an accent on Elasticsearch performance tuning, relevance optimization, and large-scale data systems. Focus on designing indexes, deploying ranking experiments, improving search quality metrics, and shipping production Scala services with agentic AI development workflows.
Location: Remote from Georgia, Argentina, Brazil, Colombia, Poland, or Ukraine.
Company
hirify.global is an AI-native consulting and technology services firm delivering cloud, data, software engineering, and artificial intelligence solutions for enterprise transformation.
What you will do
Build, maintain, and integrate backend services powering food search and logging across the broader engineering organization.
Perform end-to-end Elasticsearch performance tuning, including data design, indexing, query evaluation, and iterative optimization.
Evaluate and implement search and data technologies that improve result quality and user experience.
Collaborate with senior search engineers, product management, and leadership on solution discovery, experiment planning, and delivery.
Develop tools, processes, and metrics for measuring and monitoring search quality, including conversion rates, time to log, query abandonment, and result relevance.
Requirements
Demonstrated experience with Elasticsearch performance tuning, query analysis, and relevance optimization at scale.
Strong understanding of index design, mapping strategies, cluster management, and scoring and ranking mechanics.
Familiarity with high availability, disaster recovery, and operational monitoring for Elasticsearch clusters, including deploying indexes or clusters for load balancing and experimentation.
Ability to translate product specifications into technical requirements and deploy ranking and relevance experiments with defined success criteria and metrics.
Strong experience writing, shipping, and maintaining Scala services in production; Scala is the primary language.
Comfort working with SQL and Python.
First-hand experience building, scaling, and supporting large-scale data infrastructure systems in production.
Strong understanding of database design, data architecture, and performance tuning across multiple data stores such as MySQL, MongoDB, DynamoDB, Redis, or similar; experience with high-volume messaging systems such as Kafka; and familiarity with AWS, GCP, or other cloud platforms.
Strong peer code review practices.
Active production use of AI development tools such as Claude Code, Cursor, or comparable AI-powered coding environments beyond autocomplete.
Familiarity with agentic coding workflows including code generation, refactoring, debugging, and test authoring, with the ability to explain where human judgment remains critical.
Culture & Benefits
Work remotely from Georgia, Argentina, Brazil, Colombia, Poland, or Ukraine.
Contribute to real-world AI-driven projects spanning startup innovation and enterprise transformation.
Collaborate across a global team and multiple continents and cultures.
Inclusive environment focused on continuous learning, innovation, and ethical AI standards.
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