Краткое описание

Менеджер по работе с клиентами в финтех-компании «Бухта»

Обязанности

 • Общение с клиентами в мессенджерах, по телефону.
 • Консультирование по услугам компании.
 • Ведение клиентской базы (CRM);
 • Сопровождение клиентов на всех этапах взаимодействия;
 • Оперативное решение возникающих вопросов;
 • Передача обратной связи от клиентов в команду.

Требования

• Грамотная речь и умение просто объяснять сложное;
• Желание работать и развиваться в IT-сфере;
• Уверенное владение компьютером и мессенджерами.

 Опыт не требуется — всему научим!

Условия

 • Зарплата: от 250 000 ₸ (обсуждается по итогам собеседования);
 • Работа в комфортной digital-среде;
 • Обучение, поддержка наставника и карьерный рост;
 • Молодая команда и дружелюбная атмосфера;
 • Возможность перейти в проектный или продуктовый менеджмент.  

Контактная информация

+77088173613
telegram - @tolegenov_tolebi

Краткое описание

• Образовательный центр по подготовке детей к IELTS и SAT

Обязанности

•  Продажа курсов подготовки к IELTS и SAT
• Консультация клиентов, сопровождение сделки

Требования

•  Опыт в продажах (желательно)
• Хорошие коммуникативные навыки

Условия

•  Оклад + % от продаж
• Обучение, рост и поддержка команды

Контактная информация

•  87759698136

Client

Our client is a global leader in online gaming, specializing in betting exchanges and online casino games like poker and bingo. They operate proprietary software with web, mobile, and native iOS and Android apps, serving over two million players across 50 countries.

Position overview

We are seeking a skilled SQL Developer to join our dynamic team. The ideal candidate will be responsible for building, maintaining, and supporting key compliance reports across multiple international markets. You will design and develop complex SQL queries, stored procedures, and database functions to support data requirements and analysis. This role requires optimizing database performance, collaborating with development teams, and ensuring data integrity and regulatory compliance.

Responsibilities

• Build, maintain, and support key compliance reports across various international markets
• Design and develop complex SQL queries, stored procedures, and database functions
• Support requirements gathering, data mapping, and data analysis efforts
• Optimize database performance through query tuning and indexing strategies
• Collaborate with development teams to implement efficient database solutions for applications
• Ensure data integrity, security, and compliance with regulatory standards
• Monitor database performance and troubleshoot issues proactively
• Participate in database design reviews and provide technical recommendations
• Document database schemas, procedures, and processes thoroughly
• Support testing and validation to ensure correctness of data in reports

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field
• Minimum 3 years of experience in SQL development involving complex reporting requirements
• Proficiency in one or more database systems such as RedShift, PostgreSQL, SQL Server, or similar
• Strong understanding of indexing, query optimization, and performance tuning techniques
• Familiarity with version control systems such as Git

Nice to have

• Experience in the gaming or sports betting industry is a plus
• Experience with complex regulatory compliance requirements
• Familiarity with business intelligence tools such as Looker
• Python programming experience
• Knowledge of cloud database platforms (AWS RDS, Azure SQL, etc.)
• Understanding of data warehousing concepts

Client

Our client is the world leader in online gaming services. Their business is developing in several directions, most prominent ones are a betting exchange and online games. The betting center and the bookmaker run on their own software. The company's web services have mobile versions and native applications for iOS and Android and are used by more than two million players from 50 countries.

Position overview

We are seeking an expert in designing, implementing, and operating stable, scalable, and cost-effective ETL solutions that extract data from production systems into our data platform. We want someone passionate about working with vast datasets who loves bringing data together to answer business questions and drive growth.

Responsibilities

• As part of our Data Platform team, you will lead data and process innovation through robust delivery of exceptional solutions.
• Transform raw data into useful, actionable data systems.
• Strive for efficiency by aligning data systems with business goals.
• Contribute to technology selection and ensure proper data design and implementation across projects.
• Demonstrate hands-on expertise in processing large datasets, data structure, access patterns, big data concepts, and cloud computing.
• Collaborate with Data Product Owners to understand data requirements and build ETL processes.

Requirements

• 4+ years of experience designing and implementing efficient ETL processes and data pipelines.
• Experience with streaming-based integration patterns and stream processing.
• Strong experience with Databricks platform on AWS (including workspaces, clusters, jobs, notebooks).
• Proficiency in PySpark, SQL, and Python for data processing.
• Hands-on experience with Delta Lake, Lakehouse architecture, and medallion design patterns (bronze/silver/gold).
• Broad familiarity with AWS technologies, especially Glue, Athena, EMR, Redshift, Lambda, and Kinesis.
• Involvement with CI/CD platforms and deployment patterns such as Jenkins, Ansible, shell scripting, unit/integration testing.
• Experience designing scalable data warehousing solutions.
• Familiarity with Agile software development and DevOps practices.
• Strong collaboration skills and ability to communicate effectively with both technical and business teams.

Position overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are looking for a Senior Machine Learning Engineer to design, develop, and deploy advanced ML models focused on betting position forecasting, real-time analytics, and anomaly detection. The ideal candidate will have strong expertise in time series forecasting, predictive modeling, and scalable production deployment. You will work closely with cross-functional teams to integrate machine learning solutions that drive data-driven decision-making in a fast-paced betting environment, ensuring high model accuracy and reliability.

Responsibilities

• Design and develop machine learning models for betting position forecasting and recommendation systems
• Build and deploy predictive analytics solutions delivering real-time betting insights
• Implement anomaly detection systems to identify unusual betting patterns and potential risks
• Develop pattern recognition algorithms for market trend analysis and user behavior prediction
• Ensure scalable, reliable deployment of ML models within production betting environments
• Monitor, evaluate, and optimize model performance and accuracy continuously
• Collaborate closely with development teams to integrate ML solutions into betting platforms

Requirements

• Strong proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Proven experience in time series forecasting, predictive modeling, and anomaly detection
• Solid grasp of statistical analysis and probability theory relevant to betting/gaming contexts
• Hands-on experience deploying ML models in real-time production environments
• Expertise in data preprocessing, feature engineering, and model validation techniques
• Familiarity with ML Ops best practices including model monitoring and versioning

Nice to have

• Experience with Azure ML or similar cloud ML platforms
• Knowledge of databases, data pipelines, and data engineering fundamentals
• Understanding of A/B testing and experimentation frameworks
• Experience with containerization tools like Docker and CI/CD pipelines

Position overview

The Senior Project Manager is responsible for overseeing and managing multiple complex projects within the Operations function. This role requires strong leadership, excellent communication skills, and the ability to drive projects to successful outcomes.

The Senior Project Manager reports to the Director, PMO and Strategy Delivery, and is responsible for managing the entire project lifecycle—from initiation to successful completion—ensuring projects are delivered on time, within scope, and on budget.

This role works closely with stakeholders and cross-functional teams to drive project success and contribute to the strategic objectives of the Online Division. A proactive approach to problem-solving and commitment to continuous improvement are essential.

Responsibilities

• Lead the planning, execution, monitoring, and closing of high-impact and complex projects, ensuring alignment with organizational goals.
• Develop and maintain detailed project plans, including timelines, milestones, resource allocation, and budgets.
• Define project scope, objectives, and deliverables in collaboration with stakeholders and senior management.
• Ensure all projects are strategically aligned with the organization’s long-term goals and objectives.
• Continuously assess project alignment with business goals, making necessary adjustments to ensure successful outcomes.
• Coordinate cross-functional teams, including developers, designers, marketers, and customer support, to ensure project objectives are met.
• Identify and mitigate project risks and issues, and implement corrective actions as needed.
• Communicate project status, progress, and any changes to stakeholders, including senior management and clients.
• Manage stakeholder expectations and ensure their needs and requirements are met.
• Facilitate meetings with project teams, stakeholders, and senior management to review progress, address issues, and ensure alignment.
• Conduct project reviews and post-mortems, capturing lessons learned and best practices for future projects.
• Ensure all project documentation is complete, accurate, up-to-date, and stored appropriately.
• Oversee and manage project teams, ensuring effective allocation and utilization of resources.
• Foster a collaborative and high-performance team environment.
• Continuously improve project management processes and methodologies.

Requirements

• Bachelor’s degree or equivalent in Business, Computer Science, or a related field.
• Minimum of 7 years of project management, product management, or scrum master experience, with at least 3 years in a SaaS environment.
• Strong knowledge of project management methodologies (e.g., Agile, Waterfall) and best practices.
• Strong understanding of SaaS business models and technologies.
• Excellent leadership, organizational, and time management skills.
• Proficient in project management tools such as Jira, Trello, or Asana.
• Exceptional communication and interpersonal skills.
• Ability to work effectively under pressure and manage multiple priorities.

Nice to have

• Master’s degree, PMP/PRINCE2 certification.

A) Technical Skills (MUST-HAVE)

Python Expertise

• 5+ years Python experience (ask for concrete projects)
• FastAPI production experience (show me your last FastAPI project)
• Masters async/await patterns (explain how asyncio works)
• Uses type hints (show code examples)
• Performance optimization experience (what did you optimize, how?)

Voice AI & Real-Time Systems

• VoCode framework experience (or LiveKit, Pipecat - show projects)
• WebSocket programming (have you built bidirectional streaming?)
• STT/TTS/LLM integration (which APIs have you used?)
• Low-latency design (<1s response time - how do you achieve this?)
• Audio processing understanding (codecs, streaming)

Telephony & Twilio

• Twilio API integration (have you built Twilio Voice projects?)
• SIP protocol understanding (nice to have)
• Audio codec knowledge (G.711, Opus)

Database & Caching

• PostgreSQL expert (advanced queries, indexing, JSONB)
• Redis for sessions & caching (concrete projects?)
• Multi-tenancy database design (how do you structure this?)
• Migration strategies (Alembic experience)

Architecture & Production Experience

• Built production system with 10,000+ users (show me the system)
• Solved scaling challenges (concrete examples?)
• On-call experience (what breaks at 3 AM?)
• Understands microservices vs monolith tradeoffs
• Event-driven architecture (RabbitMQ, SQS)

B) Soft Skills & Leadership

• Can explain technical decisions clearly (not just "this is good")
• Team leadership experience (have you coached juniors?)
• Code review culture (how do you give feedback?)
• Values documentation (show me your docs)
• Understands business requirements (not just code)

C) RED FLAGS (DON'T HIRE!)

• Can't explain async/await clearly
• No production system experience
• "I'll learn VoCode on the job" (without foundation)
• Defensive during code reviews
• No GitHub portfolio with real-time work
• "Microservices for everything" without justification

Работа: full-time

Место работы: удаленка

Знания английского: B2 (разговорный)

Position Overview

We're looking for a motivated Vue Developer Intern to join our development team for a 1-month internship. This is an excellent opportunity to gain hands-on experience working on a real-world educational platform with a growing user base, while learning from experienced developers.

What You'll Do

• Work with Vue.js and modern frontend technologies to build and improve features

• Collaborate on bug fixes and feature enhancements for our educational platform

• Participate in code reviews and learn best practices for web development

• Contribute to the development of user-facing features that impact thousands of teachers

• Work with our tech stack including Vue.js, Laravel, and Inertia.js

Requirements

• Basic understanding of Vue 3

• Familiarity with JavaScript/TypeScript, HTML, and CSS

• Understanding of component-based architecture

• Git version control basics

• Eagerness to learn and adapt quickly

Nice to Have

• Experience with Laravel or PHP

• Familiarity with Inertia.js

• Understanding of RESTful APIs

• Experience with Docker

What We Offer

• Real-world experience working on a production application

• Mentorship from experienced developers

• Exposure to full-stack development practices

• Opportunity to make meaningful contributions to an educational platform

• Flexible remote work environment

• Potential for future opportunities based on performance

How to Apply

Please send your resume, GitHub profile (if available), and a brief cover letter explaining your interest in Vue.js development and educational technology.

GenerGo - это технологический стартап в сфере возобновляемой энергетики. Мы создаём платформу, которая с помощью анализа геоданных и искусственного интеллекта помогает находить лучшие локации для размещения водородных и других энергохабов будущего.

Проект находится на ранней стадии. Мы ищем Project Manager, который поможет структурировать процессы, синхронизировать команду и ускорить движение от идеи к MVP.

💼 Обязанности

• Планирование и контроль сроков и этапов разработки продукта (MVP, тесты, релизы);
• Координация работы команды (разработчики, аналитики, дизайнеры, маркетинг);
• Ведение документации и постановка задач в трекерах;
• Формирование отчётности по статусу проекта и прогрессу;
• Участие в стратегических сессиях по продукту и развитии roadmap стартапа.

🧩 Требования

• Опыт управления digital- или IT-проектами (SaaS, стартапы, аналитические продукты - плюс);
• Понимание базовых принципов разработки (MVP, agile, продуктовая гипотеза, релизы);
• Умение работать в условиях неопределённости, гибкость, проактивность;
• Интерес к энергетике, данным и технологиям устойчивого будущего.

⚙️ Условия

• Оплата за стажировку не производится;
• Стажировка в международном стартапе на ранней стадии;
• Гибкий формат (удалённо);
• Возможность получить опцион / долю при долгосрочном сотрудничестве;
• Перспектива роста до Head of Operations с развитием компании;
• Участие в создании продукта, который будет менять будущее энергетики.
  
  
  
  

Краткое описание

•  Мы ищем Data Engineer'ов для участия во внутренних проектах на стадии presale. Основные обязанности будут включать в себя переосмысление и оптимизацию текущих витрин данных, генерацию данных, разработку новых ETL-процессов, а также сбор и анализ требований от различных команд внутри компании.

Обязанности

• Разработка и поддержка пайплайнов обработки данных и машинного обучения на Python и Spark с использованием популярных фреймворков (Airflow);
• Разработка коннекторов к системам-источникам данных и системам-потребителям;
• Организация потоков данных в рамках микросервисной архитектуры платформы;
• Разработка схемы данных компонентов платформы в едином информационном поле;
• Работа c различными системами хранения (Clickhouse, PostgreSQL, Redis);
• Разработка пайплайнов с Kafka;
• Написание генераторов тестовых данных.

Требования

• Опыт коммерческой разработки на Python от 3х лет;
• Сильные софт скиллы и умение коммуницировать между командами;
• Знакомство с основным big data стэком – Spark, Hadoop.
• Опыт работы с Airflow;
• Опыт работы с k8s;
• Уверенное знание SQL;
• Умение работать с командной строкой Linux/MacOS;
• Умение вести проекты в Git;

На что ещё смотрим:

• Опыт работы с MPP – системами и с колоночными хранилищами данных.
• Английский язык – уровень B1.

Условия

• Работа в одной из самых сильных ML команд;

• Участие в росте компании, работающей на перспективном AI рынке;

• Гибкий график работы;

• Гибкий формат работы: полная удаленка;

• Поддержка в профессиональном и карьерном росте, оплата профильного обучения, конференций и книг, корпоративные скидки на курсы английского;

• Совместная работа с опытными разработчиками, аналитиками данных, менеджерами, продуктологами.

Контактная информация

•  aperekrestova@rubbles.ru