Удалённая работа

Location: Canada Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Spain Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across e The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Israel Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Проектирование AI- и классических решений: разработка агентов, tools, skills, subagents, SDK к OpenCode; — Применение нейросетей для оптимизации собственной работы (генерация спецификаций, промпт-инжиниринг, прототипирование диаграмм PlantUML, написание MCP, агентов, скилов); — Ведение технической документации в рамках концепции Doc-as-code; — Согласование технических решений и плотная коммуникация с командами разработки и сопровождения. Требования: — Общий опыт работы в аналитике от 3 лет; — Подтвержденный опыт работы в проектах по разработке и внедрению AI-фич и AI-агентов (включая агентов в формате .md); — Понимание принципов работы LLM и современных агентных архитектур (ReAct, LangChain, AutoGen и др.); — Понимание NLP, архитектуры RAG (retrieval-augmented generation) и уверенные навыки prompt engineering; — Практический опыт работы с harness-агентами; — Уверенное владение технологическим стеком: REST API, WebSocket, OpenAPI/AsyncAPI, брокеры сообщений (Kafka), реляционные БД (PostgreSQL); — Опыт работы с инструментами моделирования и документации; — Развитые софт-скиллы: инициативность, коммуникабельность, умение аргументированно доносить точку зрения, нетоксичность. Условия: — Работа в финтех-проекте компании Bellintegrator; — Платформа автоматизации жизненного цикла инвестиционных сделок для юридических лиц; — Удаленная работа с таймзоной Мск ±2 часа; — Полная занятость с оформлением по ТК РФ; — Вилка зарплаты 220 000 – 250 000 руб. на руки, определяется по грейду. Важное требование к резюме: — Резюме должно содержать детально подтвержденный опыт; — По каждому проекту необходимо четко описать: описание проекта, роль, конкретные задачи и зону ответственности, используемые технологии и инструменты.

Задачи: — Разработка программного кода Oracle PL/SQL / PostgreSQL PL/pgSQL — Проектирование и оптимизация баз данных — Оптимизация SQL-запросов, в том числе для высоконагруженных приложений — Разработка для финансовых приложений — Разработка отчётов (Crystal Reports, JasperSoft iReport, Jasper Studio) — Миграция данных и кода из Oracle в PostgreSQL — Взаимодействие с группами аналитики, внедрения, поддержки и тестирования — Тестирование собственного кода, в том числе с использованием ИИ Требования: — Опыт работы с реляционной СУБД (Oracle / PostgreSQL) не менее 3 лет — Опыт проектирования БД — Умение оптимизировать SQL-запросы — Опыт разработки для финансовых приложений (или базовые знания предметной области) — Желание и умение работать с ИИ-инструментами (Claude Code / Cursor / Codex) — Опыт работы с SVN, Git — Технический английский — Умение работать в команде Будет плюсом: — Знакомство с Oracle RAC, Oracle Data Guard, Oracle Golden Gate — Опыт работы с PostgreSQL, MySQL, Informix, MSSQL Server, DB2 — Основы администрирования СУБД Oracle — Опыт работы в UNIX/Linux — Опыт разработки на Python, Java, C++ — Разговорный английский Условия: — Полностью удалённая работа из любой точки мира — Гибкое начало рабочего дня (с 8:00 до 11:00 по GMT+3) — Быстрый и понятный онбординг с наставником — Участие в разработке уникальных и вдохновляющих проектов — Современную технику для работы — Реферальную программу для сотрудников

Задачи: — Работа в техническом направлении QA для проекта Hero Wars: Dominion Era (WEB версия). — Поддержка внутренних инструментов и технической стратегии проекта. — Обеспечение качества интеграций, изменений на бэкенде, внутренних инструментов, окружений и сложных системных поведений. — Поддержка запуска игры в новом регионе с учетом региональных интеграций (платежи, автоматизация), ограничений по подключению и связанных кейсов. — Работа с устаревшими системами и техническим долгом, улучшение качества и процессов. Требования: — Опыт QA не менее 3 лет (ручное тестирование) в веб/игровых продуктах или сложных системах. — Практические навыки работы с DevTools, Postman, понимание веб-тестирования и интеграций. — Уверенное владение SQL (PostgreSQL), умение проверять данные и исследовать проблемы через запросы. — Умение работать с командной строкой и базовый анализ логов. — Понимание жизненного цикла разработки/тестирования и умение работать с тестовой документацией. — Базовое понимание CI/CD и процессов релизов/окружений. Желательно: — Опыт автоматизации на любом языке (особенно Python). — Опыт или интерес к Docker, Kubernetes, облачным технологиям (AWS). — Опыт в ролях, близких к SDET (инструменты, тестовые утилиты, пайплайны, интеграционные тесты). — Знание GitLab CI и процессов релизов. — Использование AI в рабочих задачах. Условия: — Медицинская программа (включая стоматологию) или компенсация, доступная в любом месте работы. — Медицинская программа для членов семьи при работе в офисах в Кипре, Армении или Казахстане. — Оплачиваемый отпуск и больничные. — Возможность работать в офисах в Армении, Казахстане, Кипре или удаленно. — Спортивные активности в офисах (йога, футбол, волейбол). — Пакет поддержки при релокации в официальные локации. — Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в Кипре и Армении. — Участие в гейм-джемах, хакатонах, конференциях и митапах. — Корпоративные мероприятия: стратегические сессии, воркшопы, вечеринки, конкурсы. — Поддержка социальных инициатив и участие в благотворительных проектах. Формат работы: в офисах компании в Армении, Казахстане, Кипре или удаленно.

Relocate to Singapore. About Airwallex: Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 businesses worldwide with integrated solutions for business accounts, payments, spend management, treasury, and embedded finance at a global scale. Founded in Melbourne, with over 2,200 employees across 26 offices globally, valued at US$8 billion and backed by leading investors. Attributes We Value: We seek successful builders with founder-like energy, strong role-related expertise, sharp thinking, motivation by mission and operating principles, good judgment, curiosity, and ability to make decisions balancing speed and rigor. Candidates are humble, collaborative, able to turn ideas into real products, and use AI to work smarter. About the team: Join the Global Treasury Payment Network (GTPN) product team, responsible for Airwallex's core money-movement platform enabling global fund movement through accounts, wallets, FX, and direct debit rails. The team focuses on reliable, scalable products, rapid iteration, and career growth. What you’ll do: - Own full lifecycle of global money movement infrastructure: strategy, roadmap, partner assessment, solution design, delivery. - Leverage AI/ML insights to optimize payment routing, reduce transaction costs, detect fraud, and improve operational efficiency. - Communicate product strategy and prioritization based on user research, market insights, and competitive analysis. - Manage and mentor a high-performing team of Product Managers. - Collaborate with financial partners, engineering, operations, and commercial teams to build scalable, reliable, compliant infrastructure supporting high-volume transactions. - Serve as subject matter expert for money movement within Airwallex. - Rapidly iterate on product launches, feature enhancements, and customer feedback to improve speed, cost-efficiency, and customer experience. Who you are: Minimum Requirements: - Experience in Product Management or Engineering, especially in platform/infrastructure or technology domain, product design, planning, development. - 3+ years formal people management experience leading cross-functional teams. - Proven ability to balance user needs and commercial strategy to drive product growth. - Track record of taking products from ideation to delivery at global scale. - Strong analytical skills, data-driven decision-making. - Ability to manage tradeoffs between long-term vision and short-term growth. - Success in fast-paced, cross-functional teams delivering rapid execution. - Flexibility to work across global time zones. - Exceptional English communication skills. - Bachelor’s degree in Computer Science, Engineering, or related field. Preferred Qualifications: - Experience in hyper-growth startups, financial infrastructure, or technology domains. - Direct experience building payments or money movement platforms, or working with card schemes at global scale. - Robust understanding of money movement systems, ledgers, payments orchestration. - Familiarity with risk management, compliance, and regulatory requirements in fintech or payments.

Location: Sao Paulo, Brazil; Serbia; Almaty; Armenia; Baku; Barcelona; Berlin, Germany; California; Canada; Cyprus; Dubai, United Arab Emirates; Georgia; Istanbul; Montenegro; Kuala Lumpur Workplace: remote ABOUT YOU We are looking for an experienced Game Tech Lead to drive the engineering direction of a next-generation immersive multiplayer platform built with Unreal Engine 5. This is a senior leadership role focused on gameplay systems, multiplayer architecture, scalability, and technical performance. You will work closely with cross-functional creative and technical teams to deliver high-quality interactive experiences across large-scale virtual environments. The role combines hands-on engineering, technical strategy, and team leadership in a fast-moving product environment. ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. RESPONSIBILITIES Lead the technical implementation of gameplay systems in Unreal Engine 5 Architect and maintain multiplayer systems, networking, and server-side gameplay infrastructure Drive engineering best practices, code quality, and long-term technical scalability Optimize runtime performance across gameplay and multiplayer systems Collaborate with technical art and creative teams on integrated production workflows Support cloud-delivered interactive experiences and scalable online environments Mentor engineers and contribute to technical leadership across the project Work closely with production and stakeholders to align technical execution with project goals REQUIRED SKILLS & EXPERIENCE Strong expertise in Unreal Engine 5 Advanced knowledge of C++ and Blueprints Proven experience building and shipping multiplayer gameplay systems Deep understanding of networking, dedicated servers, and online infrastructure Experience with gameplay architecture and performance optimization Experience integrating game clients with backend platform services (identity, inventory, commerce, matchmaking, social, or similar) Strong technical leadership and mentoring experience Ability to work across engineering, art, and production disciplines Excellent communication and problem-solving skills NICE TO HAVE Experience with cloud-streamed or online interactive experiences Familiarity with persistent online worlds or immersive virtual platforms Experience scaling multiplayer environments and live systems Background in technical prototyping or platform-level systems BENEFITS   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers

Location: Rijeka Workplace: remote CSM Rijeka is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement.    JOB DESCRIPTION & QUALIFICATIONS   Oversee all onboard electrical and automation systems. Ensure safe operation, maintenance, and repairs. Manage maintenance records, reports, and spare parts. Ensure compliance with safety and maritime regulations. Lead the electrical team and coordinate daily operations.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 12 months of previous experience in rank on Cruise Ship Licensed Electro-Technical Officer (ETO) or equivalent certification. Minimum 3–5 years of experience in shipboard electrical systems, with at least 1 year in a supervisory role. Substantial experience on large cruise ships with worldwide itinerary. Experience in trading area USA and Australia is recommended. Good command of English (verbal and written).   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: Competitive salary  Terms and condition as per CBA applicable Free Internet onboard and wellbeing support    You may include with your application any reference, specific job qualification, and your availability date.   Looking forward to welcoming you in the Columbia Family.

Задачи: — Управление полным циклом доставки технических проектов, преимущественно в области CX и телекоммуникаций. — Работа с проектами с фиксированным объемом и по модели Time & Materials (T&M), обеспечение своевременной и бюджетной реализации. — Создание и поддержание планов проектов, включая задачи, сроки, ответственных и ключевые этапы. — Выявление рисков проекта и координация с поставщиками, операторами и третьими сторонами для решения проблем. — Следование стандартным процессам управления проектами: планирование, отчетность, управление изменениями и отслеживание рисков. — Тесное взаимодействие с командами инженерии, операций, IT, продукта, финансов и внешними партнерами. — Мониторинг бюджетов, прогнозов и затрат совместно с финансовыми командами. — Подготовка обновлений, отчетов и дашбордов для руководства и заинтересованных сторон. Требования: — Опыт управления проектами не менее 7 лет, включая значительный опыт в CX, телекоммуникациях или инфраструктуре. — Подтвержденный опыт управления техническими проектами от начала до завершения, включая ответственность за объем, график, бюджет, риски и коммуникацию с заинтересованными сторонами. — Опыт координации сервисных заказов, эскалаций операторов, технического обслуживания и многопартийных технических переключений. — Сильные коммуникативные и лидерские навыки, способность эффективно проводить встречи, принимать решения и управлять межфункциональным сотрудничеством. — Владение инструментами управления проектами и совместной работы, такими как Jira, MS Project, Confluence и Excel для отслеживания и финансового анализа. — Отличные организационные навыки и внимание к деталям. — Способность эффективно работать в мультикультурных и распределенных командах. Будет плюсом: — Опыт работы в телекоммуникациях, ISP, операторах, UCaaS, CX или оптовой голосовой связи. — Сертификация PMP или эквивалентная квалификация в управлении проектами. Условия: — Культура постоянного совершенствования с 99% успешных проектов и более 30% годового роста выручки. — Конкурентная оплата и социальный пакет, включая медицинскую страховку и программу релокации. — Возможность работать из любой точки мира. — Профессиональное развитие, включая программы сертификации, наставничество, внутреннюю мобильность и стажировки. — Работа над значимыми проектами для ведущих мировых клиентов. — Мультикультурная и инклюзивная рабочая среда с открытой коммуникацией и корпоративными мероприятиями. — Ценности социальной устойчивости, включая IT-образование, поддержку сообществ, справедливые практики, экологическую устойчивость и гендерное равенство.

Задачи: — Управление полным циклом доставки технических проектов, преимущественно в области CX и телекоммуникаций. — Работа с проектами с фиксированным объемом и по модели Time & Materials (T&M), обеспечение своевременной и бюджетной реализации. — Создание и поддержание планов проектов, включая задачи, сроки, ответственных и ключевые этапы. — Выявление рисков проекта и координация с поставщиками, операторами и третьими сторонами для решения проблем. — Следование стандартным процессам управления проектами: планирование, отчетность, управление изменениями и отслеживание рисков. — Тесное взаимодействие с командами инженерии, операций, IT, продукта, финансов и внешними партнерами. — Мониторинг бюджетов, прогнозов и затрат совместно с финансовыми командами. — Подготовка обновлений, отчетов и дашбордов для руководства и заинтересованных сторон. Требования: — Опыт управления проектами не менее 7 лет, включая значительный опыт в CX, телекоммуникациях или инфраструктуре. — Подтвержденный опыт управления техническими проектами от начала до завершения, включая ответственность за объем, график, бюджет, риски и коммуникацию с заинтересованными сторонами. — Опыт координации сервисных заказов, эскалаций операторов, технического обслуживания и многопартийных технических переключений. — Сильные коммуникативные и лидерские навыки, способность эффективно проводить встречи, принимать решения и управлять межфункциональным сотрудничеством. — Владение инструментами управления проектами и совместной работы, такими как Jira, MS Project, Confluence и Excel для отслеживания и финансового анализа. — Отличные организационные навыки и внимание к деталям. — Способность эффективно работать в мультикультурных и распределенных командах. Будет плюсом: — Опыт работы в телекоммуникациях, ISP, операторах, UCaaS, CX или оптовой голосовой связи. — Сертификация PMP или эквивалентная квалификация в управлении проектами. Условия: — Культура постоянного совершенствования с 99% успешных проектов и более 30% годового роста выручки. — Конкурентная оплата и социальный пакет, включая медицинскую страховку и программу релокации. — Возможность работать из любой точки мира. — Профессиональное развитие, включая программы сертификации, наставничество, внутреннюю мобильность и стажировки. — Работа над значимыми проектами для ведущих мировых клиентов. — Мультикультурная и инклюзивная рабочая среда с открытой коммуникацией и корпоративными мероприятиями. — Ценности социальной устойчивости, включая IT-образование, поддержку сообществ, справедливые практики, экологическую устойчивость и гендерное равенство.

Workplace: remote Requirements Strong experience in Python development Experience building LLM or agent-based applications using LangChain, LangGraph, or similar frameworks Hands-on experience with AWS Bedrock, including models, Agents, and tool/function calling Experience with AWS SageMaker and Bedrock Knowledge Bases Understanding of LLM limitations and practical challenges, including hallucinations, context management, and cost/latency trade-offs Experience designing end-to-end AI systems, including agent workflows and scalable AI services At least one real-world project involving AI agents deployed to production with measurable business impact or automation outcomes Experience creating custom tools/functions for AI agents Familiarity with evaluation, testing, and monitoring of LLM systems Strong communication and problem-solving skills English skills sufficient for technical communication and participation in project discussions Nice to have Hands-on experience with UiPath platform, including classic RPA and Agentic Automation Experience building and optimizing RAG pipelines (chunking, embeddings, retrieval tuning) Experience integrating AI agents with APIs, databases, and enterprise systems Familiarity with OpenSearch, vector databases, or semantic search solutions Experience with AWS Lambda, API Gateway, and S3 Experience deploying and supporting AI solutions in production environments Familiarity with AI governance, observability, or GenAI security practices Responsibilities Design and develop LLM and agent-based applications using modern AI frameworks and AWS AI services Build scalable AI workflows and agent orchestration solutions using LangChain, LangGraph, or similar technologies Develop and maintain integrations between AI agents, APIs, databases, and external systems Work with AWS Bedrock services, including models, Agents, and tool/function calling capabilities Support implementation of RAG-based solutions, including embeddings, chunking, and retrieval optimization Create custom tools/functions for AI agents and automation workflows Contribute to architecture decisions for scalable and production-ready AI systems Support evaluation, testing, monitoring, and continuous improvement of LLM-based applications Collaborate with cross-functional teams to prototype and deliver AI-powered automation solutions We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota; Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Aliya hh@itransition.com

Локация/гражданство: РФ Формат: Удаленно, Full-time (МСК) Срок привлечения: с 08.07.2026 до 15.09.2026 (возможно продление до 31.12.2026) Условия оплаты: • Ставка закупки: 1700 , с НДС • Отчётный период: месяц, отсрочка по оплате 35 РД Требования: - Умение декомпозировать бизнес-требования в детальные функциональные спецификации. - Разработка и описание сценариев использования (Use Cases) на основе пользовательских историй (User Stories) для детализации логики взаимодействия пользователя с системой. - Определение и документирование точек интеграции с внешними сервисами. - Анализ входной документации, протоколов и форматов данных для интеграций. - Формирование четких, понятных и проверяемых задач для команды разработки и тестирования (включая критерии приемки — Acceptance Criteria). - Обеспечение технической грамотности постановок задач, чтобы минимизировать риски недопонимания при реализации. - Владение нотацией UML (диаграммы последовательностей, состояний, классов, активностей) для описания логики работы, переходов состояний сущностей и взаимодействия компонентов. - Использование нотации IDEF (например, IDEF0) для моделированияфункциональных возможностей системы и процессов управления.

Location: Yerevan, Armenia Workplace: remote We are a Dubai-based property & marketing group running 5 brands on our own in-house marketing platform ('Marketing OS'), with full ad tracking and attribution built in. We are hiring a Paid Ads Manager in Armenia to own all our Meta & Google advertising and turn ad spend into measurable bookings and leads. What you’ll do: Plan, build and run Meta & Google Ads campaigns end to end across our 5 brands (holiday homes, interiors, property care, real estate, and a launching business center). Own the ad budget: allocation across brands, daily pacing, bidding, scaling winners and cutting losers. Build and test audiences and creatives (with our content team) and align them to landing pages. Track every campaign inside our in-house Marketing OS attribution — no external reporting tools. Report ROAS and cost-per-lead per brand every week, and flag what to change. What we’re looking for: 3+ years hands-on managing Meta Ads Manager and Google Ads (Search, Performance Max) with real budget responsibility. Proven results you can show with numbers (ROAS improved, cost-per-lead reduced). Confident working remotely and async with a Dubai-based team. Solid written English. Real estate, holiday homes or hospitality advertising a strong plus. Self-driven, organized, and comfortable owning targets.

Location: USA (Remote); Remote; UK (Remote) Workplace: Remote ABOUT THE OPPORTUNITY Are you a talented linguist with a love for language and cutting-edge technology? We want YOU to join our dynamic translation pool! We're on the lookout for experts across a range of exciting fields — including Life Sciences, IT, Marketing, Legal, Finance, – but don't let that limit you. Whatever your specialization, we'd love to hear from you!   WHAT YOU’LL DELIVER - Translate content between English and your native language while preserving cultural nuance and clarity. - Edit and refine language content for accuracy, tone, and contextual relevance across digital platforms. - Apply current language standards, usage trends, and best practices to all deliverables. - Evaluate and provide structured feedback to improve language model quality. - Collaborate with Production and cross-functional teams to localize content for your language-speaking markets. - Support content development, localization, and quality assurance for digital tools and applications. - If transcreation is required, the text should be creatively adapted beyond the source to ensure it reads naturally in the target language.   QUALIFICATIONS - Native-level proficiency in the target language(s) - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely   WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Submit your application, including an updated copy of your CV in English. Step 2: If a test is required, you will be asked to take a test in specific domains you specialise in. Step 3: Once you are selected to join our translation team and you have passed the test, we'll guide you through the remaining onboarding steps — completing an application form, getting you set up for payments, and welcoming you into our community. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Задачи: — Настройка эффективного и отказоустойчивого вычитывания операций из блокчейна; — Реализация транзакций в смарт-контракты и оперативная публикация цен в блокчейн; — Разработка внутренней бизнес-логики микросервисов (обработка event-ов, настройка шедулеров, создание надежных API); — Импорт, процессинг и экспорт данных в DownStream системы, плотная интеграция с UI, подготовка гибких схем валидации. Требования: — Высшее техническое образование и коммерческий опыт разработки от 5 лет; — Опыт работы в роли разработчика в крупных Enterprise-компаниях (топ-банки, финтех, брокеры, биржи); — Четкое понимание корпоративных стандартов разработки, CI/CD процессов, требований ИБ и прохождения архитектурных ревью; — Уверенное знание Java 8, ООП, REST, XML, JSON, HTTP и шаблонов проектирования; — Опыт разработки с использованием Spring, Spring Boot и микросервисной архитектуры; — Отличные знания SQL и практический опыт работы с БД (PostgreSQL); — Уверенный опыт работы с интеграционными протоколами и брокерами (REST, Kafka, RPC, FIX); — Опыт написания качественных модульных и интеграционных тестов (JUnit, Mockito); — Внимание к деталям и умение грамотно вести деловую переписку. Условия: — 100% удаленный формат работы с территории РФ и полностью гибкий график; — Стабильный и конкурентный доход до 315k на руки с прозрачной оплатой по ИП; — Профессиональное развитие через решение сложных реальных задач, а не формальные курсы; — Реальная возможность предлагать свои архитектурные идеи и сразу видеть, как они внедряются на проде.