• Help us use technology to make a big green dent in the universe! • Kraken powers some of the most innovative global developments in energy. • We’re a technology company focused on creating a smart, sustainable energy system. • From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences. • Our operating system for energy is transforming the industry around the world in a way that benefits everyone. • Help us make a real impact on shaping a better, more sustainable future.

About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. - Our goal is not just to build technology, but to build the future operating model for our clients. About the Role You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production. The role combines Java backend development and Python (primarily PySpark) for large-scale data processing. Responsibilities: - Design, develop, and maintain scalable backend services using Java and Python - Build and optimize data pipelines for large-scale data processing (primarily with PySpark) - Collaborate closely with ML engineers to prepare and transform data for ML models - Work with large datasets to support search relevance and optimization systems - Improve system performance, scalability, and reliability - Contribute to architecture decisions and technical design - Write clean, maintainable, and well-documented code Requirements (Must-have): - 6+ years of commercial software development experience - Strong hands-on experience with both Java and Python (required) - Solid experience with Spark / PySpark or similar data processing frameworks - Proven experience building data pipelines and working with large datasets - Strong understanding of backend development, system design, and distributed systems - Experience with APIs and microservices - Good knowledge of data structures, algorithms, and performance optimization - Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team) Nice-to-have (at least one of the following): - Experience with search and relevance optimization, including: Elasticsearch / Solr (lexical search) Semantic search, vector search, or RAG-based systems Search relevance tuning - Experience supporting ML workflows, such as: Data preparation or feature engineering Recommendation systems or user behavior prediction - Experience with Databricks (preferred) or similar environments: AWS EMR, Hadoop, Spark ecosystem We offer: - B2B contract with our US office - NY working hours (at least 6 hours overlap) Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com

About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. - Our goal is not just to build technology, but to build the future operating model for our clients. About the Role You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production. The role combines Java backend development and Python (primarily PySpark) for large-scale data processing. Responsibilities: - Design, develop, and maintain scalable backend services using Java and Python - Build and optimize data pipelines for large-scale data processing (primarily with PySpark) - Collaborate closely with ML engineers to prepare and transform data for ML models - Work with large datasets to support search relevance and optimization systems - Improve system performance, scalability, and reliability - Contribute to architecture decisions and technical design - Write clean, maintainable, and well-documented code Requirements (Must-have): - 6+ years of commercial software development experience - Strong hands-on experience with both Java and Python (required) - Solid experience with Spark / PySpark or similar data processing frameworks - Proven experience building data pipelines and working with large datasets - Strong understanding of backend development, system design, and distributed systems - Experience with APIs and microservices - Good knowledge of data structures, algorithms, and performance optimization - Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team) Nice-to-have (at least one of the following): - Experience with search and relevance optimization, including: Elasticsearch / Solr (lexical search) Semantic search, vector search, or RAG-based systems Search relevance tuning - Experience supporting ML workflows, such as: Data preparation or feature engineering Recommendation systems or user behavior prediction - Experience with Databricks (preferred) or similar environments: AWS EMR, Hadoop, Spark ecosystem We offer: - Freedom to Develop - equal opportunity to learn and grow professionally - Clear career and professional path, strong performance management system - Social Benefits Package - Equipment - English lessons - Gym membership - All the advantages of working in an international IT company - Flexible vacation time - Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com

About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: - Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. - Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. - Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. - Our goal is not just to build technology, but to build the future operating model for our clients. About the Role You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production. The role combines Java backend development and Python (primarily PySpark) for large-scale data processing. Responsibilities: - Design, develop, and maintain scalable backend services using Java and Python - Build and optimize data pipelines for large-scale data processing (primarily with PySpark) - Collaborate closely with ML engineers to prepare and transform data for ML models - Work with large datasets to support search relevance and optimization systems - Improve system performance, scalability, and reliability - Contribute to architecture decisions and technical design - Write clean, maintainable, and well-documented code Requirements (Must-have): - 6+ years of commercial software development experience - Strong hands-on experience with both Java and Python (required) - Solid experience with Spark / PySpark or similar data processing frameworks - Proven experience building data pipelines and working with large datasets - Strong understanding of backend development, system design, and distributed systems - Experience with APIs and microservices - Good knowledge of data structures, algorithms, and performance optimization - Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team) Nice-to-have (at least one of the following): - Experience with search and relevance optimization, including: Elasticsearch / Solr (lexical search) Semantic search, vector search, or RAG-based systems Search relevance tuning - Experience supporting ML workflows, such as: Data preparation or feature engineering Recommendation systems or user behavior prediction - Experience with Databricks (preferred) or similar environments: AWS EMR, Hadoop, Spark ecosystem We offer: - Freedom to Develop - equal opportunity to learn and grow professionally - Clear career and professional path, strong performance management system - Social Benefits Package - Equipment - English lessons - Gym membership - All the advantages of working in an international IT company - Flexible vacation time - Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need. Learn more about Lineate at our website: www.lineate.com