Вакансии

• Опыт построения и ведения DWH-архитектур.

• Разрабатывать и поддерживать ETL/ELT-процессы и витрины данных. • Интегрировать данные из баз данных, API и файлов.

Location: European Union; Ukraine Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting. You will serve as the bridge between raw data ingestion and analytics — shaping how data is structured, validated, and delivered. Responsibilities - Design, build, and maintain dbt models (staging, core, marts) based on business needs - Develop scalable SQL transformations and ensure efficient, cost-effective query performance - Implement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability. - Create and maintain documentation for datasets, data lineage, business logic, and transformation rules - Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness - Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models - Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting - Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization - Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making Requirements - Strong SQL experience with a deep understanding of analytical modeling concepts - Hands-on experience with dbt (models, tests, docs, macros) - Experience working with cloud data warehouses such as BigQuery or ClickHouse - Understanding of data modeling patterns - Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD) - Experience with data quality frameworks or implementing validation logic - Ability to translate complex business processes into clean analytical datasets. - Strong documentation skills and attention to detail - Experience collaborating with cross-functional teams and supporting analysts with reliable data - Knowledge of Python is a plus (but not required) Nice To Haves - Experience with orchestration tools (Airflow, Dagster) - Experience working with marketing, product, or billing datasets - Exposure to metric layers, semantic layer design, or BI governance - Basic understanding of observability tooling (Grafana, Prometheus, ... ) - Experience optimizing BigQuery costs or ClickHouse performance LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Chicago, New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Team: As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education. The Role: We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat. Key Responsibilities: Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues. Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality. Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards. Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap. Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops. Required Qualifications: Strong customer-facing communication skills and a "white-glove" support mentality. Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations. Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus Strong context of internal firm culture, user base, and existing support channels. The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-VD1

Location: Алматы Задачи Разрабатывать ML модели для широкого круга задач; Участвовать в разработке сервиса на основе ML на всех этапах: от сбора данных до выкатки в продакшн и дальнейшего мониторинга/сопровождения сервиса; При необходимости оптимизировать модели под HighLoad системы; Тесное взаимодействие со своей продуктовой командой; Работать с нейронными сетями и обучать PyTorch модели для production; Интегрировать языковые модели (LLM/SLM) в существующие сервисы компании. Требования Понимание теории вероятности, математической статистики, линейной алгебры; Знание “классического ML” на хорошем уровне (регрессия, методы кластеризации, деревья решений и их ансамбли); Знание основ Deep Learning в сфере CV и NLP (работа с разнородными данными: изображения, текст, табулярные данные); Владение Python (опыт использования Pytorch) и связанным с ним стэком для ML (pandas, sklearn, numpy); Знание Git и Docker. Будет плюсом Опыт разработки ML решений в одной из следующих областей: NLP, CV, Recommendation Systems; Опыт работы с DVC, MLFlow; Опыт работы с airflow, bigquery; Понимание kubernetes.

Workplace: remote Requirements 3+ years of relevant experience Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow) Hands-on experience working with tabular/time series data with usage of ML Solid understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross-validation Knowledge of statistical methods and probability theory Experience with experiment design and offline evaluation Ability to work with large datasets and build efficient data processing pipelines Familiarity with SQL and data querying Strong analytical and problem-solving mindset Ability to clearly communicate findings and trade-offs Ownership of tasks from research to implementation Curiosity and willingness to explore new approaches English proficiency at B1 level or higher Nice to have Experience in financial machine learning, quantitative finance, or trading systems knowledge of signal generation, alpha research, portfolio construction or risk modeling Experience with: Deep learning for tabular/time series data (Transformers, RNNs, etc.); Probabilistic modeling or Bayesian methods Hands-on experience with production ML systems (MLOps, monitoring, retraining) Ability to define research direction and identify high-impact opportunities Decision-making under uncertainty Ability to translate business problems into ML solutions Responsibilities Develop and validate machine learning models for financial time series and cross-sectional data Conduct research on alpha signals, feature engineering, and predictive modelling techniques Design experiments and backtesting frameworks with proper statistical rigor Work with large-scale structured and unstructured financial datasets Collaborate with engineering teams to deploy models into production pipelines Analyze model performance, stability, and robustness under changing market conditions Improve data pipelines, labeling strategies, and evaluation methodologies 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 Any questions? Veronika hh@itransition.com

Задачи: — построение ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных источников; — работа с современным стеком трансформации: освоение и применение DBT для превращения «сырых» данных в чистые аналитические витрины; — оркестрация данных: настройка и поддержка рабочих процессов (pipelines) в Dagster для своевременного и безошибочного обновления данных в отчетах; — управление хранилищами: работа с Postgres и высокопроизводительной колончатой базой данных Clickhouse для обеспечения скорости работы отчетов; — визуализация смыслов: разработка интерактивных BI-отчетов в Apache Superset для поддержки принятия бизнес-решений; — оптимизация выборок: анализ и ускорение тяжелых запросов для повышения производительности системы отчетности. Требования: — уверенное владение SQL (сложные выборки, агрегатные функции, оптимизация запросов); — понимание устройства реляционных баз данных, в частности PostgreSQL, и принципов построения аналитических хранилищ; — базовые знания Python, умение писать скрипты для обработки данных и автоматизации простых задач; — аналитический склад ума, способность работать с большими массивами данных, выявлять закономерности и структурировать информацию. Желательный опыт: — создание дашбордов в BI-инструментах (Apache Superset, Tableau, Power BI или аналогичных); — понимание концепций ETL/ELT; — понимание архитектуры данных, разницы между OLTP и OLAP системами (например, использование Clickhouse для аналитики); — интерес к современным инструментам DBT и оркестраторам данных (Airflow, Dagster). Условия: — срочный трудовой договор на 3 месяца; — график 5/2, не более 30 часов в неделю; — возможность работы удаленно, в офисе или в гибридном формате; — стажировка открыта для студентов любых ВУЗов и форм обучения, включая заочную и магистратуру.

Агентные системы с LLM: tool calling, многошаговые workflow, RAG, контекст и память, human-in-the-loop. Быстрые прототипы и MVP → проверка гипотез → production.

Location: Milan Workplace: Hybrid Build with us Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind. We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver. If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you. Your impact Join our dynamic Developer Enablement domain at Mollie as an Platform Engineer, where you'll play a pivotal role in enhancing our monitoring systems, ensuring operational excellence across our platforms. As a Platform Engineer on the Observability team, you'll be working on providing deep insights into our services' health, enabling engineers to diagnose issues, and optimising platform usage to deliver an unparalleled service experience to our customers. What you’ll ship - Develop and maintain our observability tools and platforms, focusing on high-quality, scalable solutions. - Collaborate with engineering teams to integrate observability practices into the development lifecycle, enhancing system transparency and reliability. - Lead the creation and adoption of standardised observability frameworks to ensure consistency and efficiency across the organisation. - Design, implement, and refine data pipelines that collect, aggregate, and normalise telemetry data from diverse sources. - Advocate for best practices in code instrumentation, ensuring high-quality data collection for insightful monitoring and analysis. - Contribute to the development of a comprehensive service inventory, tracking changes and impacts to guide operational decisions. - Engage in continuous learning and sharing of knowledge within the team, promoting a culture of innovation and excellence in observability. What you’ll bring - A solid background in software engineering, with a specific passion for observability and monitoring of distributed systems. - Experience with at least one major cloud-based provider - Experience in tools such as Grafana, Prometheus, Datadog, and Sentry, and development practices using Kubernetes, Helm, Docker, Terraform. - Know your way around Linux systems and the shell - Demonstrated experience in developing or adopting libraries for seamless integration with observability tools. - Good coding skills in languages relevant to our stack (e.g., PHP, Java, Python, Go). - Excellent problem-solving skills, with a creative approach to tackling complex challenges. - Outstanding communication and collaboration skills, comfortable working in a hybrid work environment to foster team synergy and influence without authority. - Bonus: Prior experience with Data Analytics and Data Pipelines to collect and derive insights from observability data. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You’ll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you’re aiming for promotion, exploring a different career path or building new skills, you’ll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what’s next, for yourself and for thousands of businesses across Europe, we’d love to hear from you. AI at Mollie We believe in Always Be Shipping, and AI brings https://jobs.mollie.com/ai-manifesto that philosophy to life across every team, every role, every day AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We’re looking for people who are excited to use AI to shape the future of finance with us. Please apply with your CV in English Kindly note that relocation or visa support is not offered for this role.

Задачи: — Проектировать и поддерживать интеграцию источников данных (взаимодействие с процессинговыми системами и Автоматизированной Банковской Системой / АБС); — Организовывать мониторинг актуальности входящих данных и оперативно реагировать на инциденты; — Готовить данные для загрузки в оговоренные форматы хранения (Data Lake / DWH) для последующего потребления смежными командами; — Разрабатывать и оптимизировать витрины данных для BI-отчетности в Superset и PowerBI; — Проводить глубокую проверку качества данных (Data Quality), выявлять аномалии и устранять корневые причины ошибок; — Обеспечивать бесперебойную актуальность данных, нести ответственность за соблюдение SLA и быстрое восстановление при авариях. Требования: — Опыт в направлении финтех; — Отличное знание SQL (DDL/DML) в PostgreSQL; — Хорошее знание SQL (DDL/DML) в ClickHouse; — Отличные навыки оптимизации SQL-запросов в PostgreSQL; — Отличные навыки работы с Python: написание и поддержка DAG-ов в Airflow, опыт работы с асинхронными сервисами; — Хорошие навыки конфигурирования PostgreSQL.

Location: Москва Мы помогаем государству проводить disrupt госуправления через внедрение AI/GenAI и ускорять национальное развитие AI/GenAI, организуем одно из крупнейших в мире профильных мероприятий – AIJourney, объединяем бизнес, государство и международное научное сообщество, чтобы обеспечить GenAI-трансформацию страны. Обязанности • cтроить и развивать систему оценки качества LLM, RAG и агентов: тестовые наборы, метрики, автоматические прогоны, отчёты • проводить регрессионное тестирование в CI при смене моделей, промптов и настроек, контролировать качество перед релизами и показами • оценивать агентов по траекториям: успешность задач, ошибки вызова инструментов, лишние шаги • калибровать автоматическую оценку (LLM-as-a-judge) против экспертной разметки • строить пайплайны обработки документов: PDF, сканы, OCR, таблицы, восстановление структуры • готовить датасеты для дообучения, включая синтетические данные и траектории вызова инструментов. Требования • от 3 лет в Data Science, Data Engineering или ML, из них не менее года с LLM-проектами • опыт построения с нуля системы оценки качества LLM или RAG • знание метрик поиска (recall@k, MRR, nDCG) и метрик ответов (faithfulness, полнота, корректность) • опыт оценки агентных систем или многошаговых сценариев • прикладная статистика: доверительные интервалы, значимость различий, размер выборки • опыт обработки реальных документов в продакшене, включая OCR • Python на уровне production-кода, уверенный SQL • оркестрация пайплайнов (Airflow, Prefect, Dagster или аналоги), версионирование данных и трекинг экспериментов (DVC, MLflow или аналоги). **Будет плюсом:** • работа с юридическими, нормативными или канцелярскими текстами на русском языке • классический NLP: NER, классификация, извлечение сущностей • опыт с русскоязычными бенчмарками • работа с персональными данными по 152-ФЗ • Elasticsearch, OpenSearch, векторные базы данных. Условия * гибридный формат работы (м Кутузовская) * ежегодный пересмотр зарплаты, годовой бонус * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

• Управление инженерной организацией: руководство Backend, Frontend, DevOps и QA, развитие технических лидов, повышение эффективности команд. • Опыт управления инженерной организацией размером примерно 20–50 человек и несколькими техническими лидами.

💎Опыт работы с DWH архитектурами, опыт управления командой, ClickHouse, AI/LLMs.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. You will specifically join VGP Team. VGP automates repetitive and high-volume growth tasks, starting with the distribution of over 25,000 creatives across multiple ad networks and campaigns per year, and continuously improves decision-making, performance monitoring, and playable ads production. The platform is evolving to integrate AI-driven campaign launches, bidding automation, and expanded network coverage. ROLE We’re looking for an Engineering Lead (TypeScript/Node.js) to join our Engineering & Data team. As an Engineering Lead, you'll combine strong individual technical contributions with team leadership. You'll be responsible for the technical direction of your squad, the growth of your engineers, and the delivery of high-impact projects. This is a hybrid IC/manager role — you'll still write code, but your leverage is through the team. - Lead the technical direction and architecture for your squad's domain - Drive design reviews, set coding standards, and ensure engineering excellence - Own the full delivery of complex, cross-team technical initiatives - Build, scale and operate Node.js/TypeScript backend services on AWS/EKS - Define the infrastructure and reliability strategy for your team's systems - Partner with Product and Data to translate business goals into technical roadmaps - Grow engineers through 1:1s, code reviews, mentorship and technical coaching - Identify systemic risks and drive improvements before they become incidents - Be an ambassador for engineering culture: psychological safety, pragmatism, and craft PROFILE (MUST HAVE) - 7+ years of professional software engineering experience - 2+ years of experience leading an engineering team (formal or informal) - Expert-level proficiency in TypeScript /Node.js - Good knowledge of industry best practices (SOLID, KISS, YAGNI, DDD, TDD...) - Proven ability to own and deliver large technical projects with cross-team dependencies - Excellent communication and stakeholder management skills - Track record of growing engineers and building high-performing teams - Ability to balance speed-of-delivery with long-term technical health PROFILE (NICE TO HAVE) - Advanced PostgreSQL — schema design at scale, performance tuning, migrations - Experience with VueJS or frontend architecture decisions - Experience with AWS infrastructure (EKS, Lambda, RDS/Aurora, SQS/SNS, CloudFront, ALB) - Infrastructure-as-code (Terraform, CDK, Helm) at scale - Observability and SRE practices: SLOs, error budgets, on-call management - Experience operating in a hyper-growth or gaming/consumer product company - Platform engineering or developer experience background OUR STACK - TypeScript ; Node.js ; AWS ; Terraform ; CDK ; Helm BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

• Проектирование и развитие аналитического хранилища данных (DWH). • Разработка моделей данных (fact / dimension, агрегаты).

Location: Москва Мы передовое ИТ подразделение, создающее дата платформу на сотни петобайт данных для крупшейнего юнита банка. Нами реализована загрузка, обработка и контроль качетсва разрозненных данных из сотен систем-истоников банка в единое хранилище в Data Lakehouse архитектуре на платформе Hadoop. Ищем сильных и энергичных дата инженеров для развития нашей платформы в сторону обработки данных в режимах батчевой и потоковой загрузки. Вы будете работать в сильной команде дата инженеров с сложными инженерными задачами, передовым стеком технологий и самыми большими объемами данных в Европе. Задачи разработки и поддержки витрин данных в Hadoop (HDFS, Icberg, Hive), ETL - Spark, CTL - Oozie, CI/CD - Jenkins + BitBucket. И NRT пайплайны, Kafka, dynamic tables. языки - Python, Java, Scala. Обязанности * разработка DWH/DataLake/LakeHouse * построение поставки данных в Batch/NRT/RealTime * оптимизация ETL * повышение актуальности данных * снижение latency доступа к данным * разработка и валидация архитектуры данных Требования * отличное знание SQL (join, CTE, оконные функции, фреймы и др.) * опыт работы с Hadoop, Spark, Iceberg/Paimon * опыт работы с Kafka и др. Брокерами * опыт работы с оркестраторами (например, Airflow) и CI/CD * опыт построения архитектуры данных (например, Data Vault, Инман, Кимбалл и др.) * опыт кратной оптимизации ETL * практическое знание python на уровне разработки ETL будет преимуществом * практическое знание java/scala будет преимуществом * практический опыт создания и защиты архитектуры данных будет преимуществом * практический опыт разработки solution-архитектуры data-продуктов будет преимуществом Условия * **офисный формат работы** (м Кутузовская ул. Поклонная 3) * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбер.

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for an Engineering Manager to lead Tabby Card Activation team. You’ll combine strong technical expertise with people leadership, acting as a playing coach who stays hands-on with the codebase while driving architectural decisions, engineering excellence and team development. Working closely with Product and other cross-functional teams, you’ll help build scalable solutions that support Tabby Card’s growth, monetization and customer experience. What you’ll bring: 5+ years of backend engineering experience, ideally including 2+ years of Golang (not a must). 2+ years of experience as an Engineering Manager, preferably at a fast-growing fintech or e-commerce company. Experience building scalable, distributed systems and working with high-load architectures. Solid understanding of backend tools and technologies, we use PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and a microservices architecture. Experience integrating third-party APIs and contributing to product development. A passion for writing clean, testable, and maintainable code. A proactive mindset and the ability to work independently. Strong communication skills in English. Responsibilities: Lead large cross-team projects and drive them to production. Stay hands-on as a playing coach: write code, participate in architectural discussions, and contribute to key technical decisions. Review feature designs and ensure non-functional requirements are met. Oversee technical debt management and incident handling. Drive the effective adoption of AI tools and practices across the SDLC and team processes to improve engineering productivity. Contribute to quarterly planning and roadmap definition. Hire, evaluate, mentor, and motivate team members. Build cross-team and cross-functional collaboration to increase efficiency. Foster a results- and business-oriented culture. Monitor key team performance indicators. Ensure process and delivery transparency for stakeholders and partner functions. Optimize processes to improve productivity. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Armenia; Czech Republic; Spain; Hungary; Albania; Serbia; Poland; Portugal; Italy; Romania; Slovakia Workplace: Remote Location: Valencia, Spain, or Brindisi, Italy, or fully remote within Southern & Eastern Europe (teleworking up to 5 days per week) Start date: ASAP Languages: Professional proficiency in English required; Spanish is a plus Industry: Virtualization / IT Infrastructure / IT Services Duration: Long Term ABOUT THE OPPORTUNITY Pragmatike is hiring a Storage and Backup Engineer to provide engineering expertise and operational support to Storage and Backup infrastructure either within the organization or for partner entities. The role combines architecture, design, implementation, and day-to-day administration, with responsibility for onboarding new services, adapting solutions to evolving technologies and customer needs, and ensuring reliable, secure, and recoverable infrastructure The ideal candidate is an experienced Storage and Backup Engineer with at least 8 years of handson experience in supporting, designing, managing and optimizing enterprise storage and backup environments. The candidate will work under the guidance of the Team Lead, Infrastructure Operations, and collaborate with other support teams. The candidate is expected to demonstrate strong problem-solving skills, a proactive approach to service improvements and the ability to work independently while supporting a team-oriented environment. WHAT YOU’LL DO - Design and implement enterprise storage and backup architectures aligned with business, availability, recovery, capacity, and security requirements. - Administer and maintain storage arrays, SAN fabrics, and backup platforms, including daily health checks, storage provisioning, host integration, backup client configuration, schedules, retention policies, and replication. - Plan and execute installations, upgrades, migrations, capacity expansions, and proof-ofconcept deployments, including testing, validation, and rollback procedures. • Monitor and analyze system health, performance, capacity, and backup success; resolve bottlenecks and implement improvements. - Resolve incidents, problems, and service requests; provide Tier 3 support, lead root-cause analysis, and implement corrective and preventive actions. - Perform restores and recovery tests, and support disaster-recovery exercises to validate data protection and recovery capabilities. - Apply security controls, hardening standards, and approved configuration changes in accordance with established policies and change-management procedures. - Collaborate with vendors and internal teams on maintenance, upgrades, interoperability, and complex issue resolution. - Develop and maintain tools and scripts to automate storage and backup provisioning, monitoring, reporting, and routine operations. - Deliver storage and backup projects for the organization and its partner entities, including technical assessments, business cases, project proposals, and operational handover. - Maintain technical designs, configuration records, runbooks, and recovery procedures; share knowledge and promote best practices within the team. - Participate in standby/on-call duties, planned maintenance, and other service-coverage arrangements when required. WHAT WE’RE LOOKING FOR - Minimum 8+ years of relevant IT work experience in managing and configuring enterprise Storage and Backup environments and related services in a complex heterogenous environment - Extensive hands-on experience in the administration and troubleshooting of block and file storage systems across multiple vendor platforms (e.g., NetApp, Dell PowerStore, Dell ECS systems) - Excellent knowledge in the installation and administration of Enterprise Backup systems (e.g., DELL Avamar, PPDM, Data Domain, Veeam B&R and other market leaders in backup solutions) - Expert-level troubleshooting and problem resolution for storage and backup infrastructures. - Solid understanding and knowledge of storage technologies (Cisco/Brocade Fabric switches, VSANs, WWPNs, NPIV, multipathing, Fibre channel, iSCSI) - Strong understanding of data protection, disaster recovery, and best practices in backup and storage management. - Good understanding and knowledge of networking technologies - Working Experience in shell scripting and automation tools (e.g., Python, Ansible, Terraform) - Ability to work under pressure with minimum supervision - Customer-centric approach to delivery and problem solving - Good knowledge of ITIL service management methodology NICE TO HAVE - Experience with Hyper Converged Infrastructure or Software Defined Storage solutions is an advantage - Good presentation skills and ability to convey complex technical information to nontechnical audience - Experience with service reporting and business analytics - Experience with cloud storage solutions (e.g., AWS S3, Azure Blob Storage) - Experience with virtualization technologies (e.g., VMware, Hyper-V) - Industry-recognized certifications in Storage, Backup, or Cloud Technologies. - Certifications in any programming language or scripting framework (e.g., Python, Ansible, PowerShell). - ITIL, ISO20000, PRINCE2 certifications WORKING CONDITIONS - Teleworking: up to 5 days per week - On-call: one week per month (rotation depends on the number of team members) - Overtime must be pre-approved by the client Team Leader - Overtime rates: 125% of the daily rate Monday to Saturday, and 150% on Sundays and client public holidays - Stand-by availability for on-call services is included in the daily rate - Interventions during an on-call period are billed at the overtime rates above - Overtime and on-call interventions may alternatively be compensated with time off, if mutually agreed by both parties Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.