Вакансии

Мы в поисках Middle / Middle+ Python Backend Developer. - Коммерческий опыт от 3 лет в backend-разработке, из них от 2 лет с Python;

Both roles are for engineers who are comfortable working beyond isolated development tasks: building and improving data pipelines, dealing with performance and reliability, maintaining data quality, and contributing to migration and modernization work. 3+ years of experience, with Apache Airflow, Spark/PySpark, Snowflake, Kafka, AWS S3, Iceberg, and Parquet.

Location: Remote, Arizona, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. OTE (On Target Earning) $197,516.46 — $273,115.47 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the role Rain is building payments and stablecoin infrastructure, and our data platform holds some of the most sensitive data a company can have: cardholder, ledger, and partner data across many countries. We’re looking for a Data Platform Engineer who has built and run data platforms for both batch and streaming to own the platform our data team and engineering pods depend on: the warehouse, streaming infrastructure, orchestration, BI, ML platform, access controls, and the tooling that makes all of it safe, reliable, and cost-efficient. Your product is the platform, and your customers are the engineers, analysts, and scientists who build on it. You’ll own the platform layer: the data and ML platform, the infrastructure for ingestion and processing in batch and streaming, data governance and security compliance, the warehouse, and the analytics and BI tooling. Data Engineers, Analytics Engineers, Data Scientists, and engineering pods build on it to run experiments, operate reliably, and turn data into decisions. At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means automating access, deploys, and governance so the platform runs itself and stays compliant. What you’ll do - Design and build data platforms at scale for both batch and streaming, choosing storage, compute, and processing based on latency, cost, and reliability needs. - Own the infrastructure for BigQuery, streaming (such as Pub/Sub or Kafka, and Dataflow or Flink), Dagster+, and Lightdash as code, including environments, CI/CD, and deploys. - Own access and governance: IAM, policy tags, PII contracts, masked and no-PII access paths, and audit logs, across tables and streams. - Provide ML platform capabilities: feature pipelines, training data, and serving real-time features to fraud and risk models. - Build platform tooling: templates, CI checks, schema registry and data contracts, catalog, and lineage. - Monitor platform reliability, latency, and cost, and fix what is slow or expensive. - Design how backend events and CDC land in the warehouse, and advise backend pods on event design. - Respond to platform incidents and access requests, and automate the repetitive ones away. What you’ll need - At least 4 years building and running data platforms in production on a cloud provider such as GCP, AWS, or Azure, in both batch and streaming: you have operated infrastructure for each, not only one. - Experience designing data platforms at scale: storage and compute choices, multi-team access, reliability, and cost. - Experience operating cloud data warehouses and real-time stores such as BigQuery and ClickHouse. - Experience operating streaming infrastructure such as Pub/Sub, Kafka, Dataflow, or Flink, including retention, schema evolution, replay, and lag monitoring. - Experience operating batch infrastructure: orchestration (Dagster or Airflow), CI/CD, and environments. - Infrastructure as code with Terraform. - Experience with access control and data governance, such as IAM, column- or row-level security, and PII handling. - Strong Python and SQL. - Proficiency using AI tools to learn new skills and accelerate your work, while taking responsibility for checking the output. Nice to have - ML infrastructure experience, such as feature stores, Vertex AI, or model serving. - Experience in regulated environments such as payments, banking, PCI, or SOC 2. - Experience with data catalogs and lineage tools. - Experience with cost optimization in BigQuery, ClickHouse, or Snowflake. - Experience with CDC tools such as Datastream or Debezium. Things that enable a fulfilling, healthy and happy experience at Rain: Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Workplace: remote Requirements At least 5 years of experience in the Microsoft Power BI and Fabric ecosystem, especially in Power BI Service, Dataflows, Semantic Models, DAX, and M-Code Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects At least 5 years of experience in data modeling of star and snowflake schemas with dbt At least 5 years of experience in building and implementing data governance structures, especially standards, role and permission concepts, governance processes, and best practices for Self-Service Analytics Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in the environment of railway transport companies from at least one project At least 3 years of experience in building, further developing, and supporting data communities as well as promoting Self-Service Analytics approaches Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments Building data models with the dbt framework 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? Natalya hh@itransition.com

-Вести техническую работу пода, лично писать продакшн-код. -Проектировать и реализовывать изменения в бэкенде и React-интерфейсе.

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Salesforce Engineer Senior Argentina, Chile, Colombia, Mexico, Peru, Uruguay Remote APPLY NOW REFER A FRIEND The Senior Software Engineer contributes to business processes by leveraging technological solutions. You will join a brand new team that will focus on Integration with ServiceNow, new functionality for funding sources and other features. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 15,100 coworkers. For the trailing twelve months ended June 30, 2023, client generated Net sales of approximately $21,4 billion. What you will do Execute all phases of the software development life cycle. Assess operational needs, costs, and resource requirements for assigned projects, collaborating with project managers as needed. Work in agile team alongside the Product Owner, applying Salesforce/CPQ best practices and design methodologies, such as use case analysis, object modeling, and UI design, to ensure alignment with business requirements and design objectives. Identify and address issues requiring attention, resolving them with a clear understanding of the underlying business problem. Make informed technical decisions aligned with the product roadmap, architecture standards, and management directives. Deliver projects and tasks in a timely manner, honoring commitments to stakeholders and management. Provide regular project/task status updates during daily scrums to the agile team, product owners, and product managers. What you need for this 3 years of application development experience 2+ years of experience with the Salesforce ecosystem and lightning framework Must have the knowledge and practical application of Visualforce, APEX; Force.com APIs, Web Services, and Experience builder Must have knowledge and practical application of Salesforce CPQ, both out of the box and customizations Experience with source control systems like Azure DevOps, GIT Experience with the creation and maintenance of Salesforce / CPQ profiles, permission sets, and objects Experience in Salesforce CPQ integration with external systems and managed packages Deliver solutions in Agile methodology in CI/CD environment Demonstrated ability to build rapport and maintain productive working relationships cross-departmentally and cross-functionally Good written and verbal communication skills Strong organizational, planning, and creative problem-solving skills with critical attention to detail Demonstrated success in facilitation and solutions implementation Proven track record of leading application development projects History of balancing competing priorities with the ability to adapt to the changing needs of the business while meeting deadlines Excellent customer-facing skills that include conducting compelling technical briefings & demonstrations Ability to perform effective code reviews and recommend automated review tools for the team What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills CPQ Salesforce

Workplace: remote Requirements At least 5 years of experience in strategic consulting, design, and further development of Data & Analytics solutions and data platforms in complex corporate structures Experience designing and enhancing Power BI and Self-Service Analytics solutions, with strong knowledge of modern data platform architectures in Microsoft Fabric, gained across 3+ projects Experience in the strategic introduction and organizational anchoring of Data & Analytics platforms, especially in the development of target visions, transformation roadmaps, and concepts for company-wide use, from at least one project 3+ years of experience implementing and driving Self-Service Analytics adoption, enabling business users and promoting effective collaboration between business and IT Experience in consulting and implementing Data & Analytics initiatives in the environment of railway companies from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project At least 3 years of experience working within agile project and organizational structures, especially applying agile methods and frameworks (e.g., Scrum, SAFe) Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments 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? Natalya hh@itransition.com

- Evolve the Medusa-based commerce backend: custom modules, data models, module links, API routes, workflows. - Extend Medusa Admin with widgets and custom routes.

Location: Remote - EMEA Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE TEAM The Retail Media team is building a platform for connecting ecommerce retailers and brands. In a nutshell, retail media is the product that allows a brand to buy a placement within our customer’s search, browse, recommendations, collections, or quizzes results. A comprehensive retail media platform integrates seamlessly with online retailers, offering advanced targeting, bidding, and analytics capabilities. This platform aims to enhance ad visibility, optimize ad placement, and provide robust performance analytics. We're a passionate team of cross-functional engineers who love challenges and want to make people’s lives better. We value openness, curiosity, continuous improvement, and great code. We believe that empowering everyone in a company to do what they think is best can lead to great things. The Retail Media team is new and looking for Senior engineers who will help us build backend services, integrate with data warehouse and other services managing results order, and more. ABOUT THE JOB The primary focus of this job is to design, deliver & maintain web services in close collaboration with other engineers. - Build / deploy / support services using Python and FastAPI - Write AWS CloudFormation scripts, Jenkins jobs, Github actions following best industry standards - Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch) - Implement CI/CD pipelines and separate stability testing - Collaborate with technical and non-technical business partners to develop / update functionalities - Communicate with stakeholders within and outside the team REQUIREMENTS - Strong computer science background & familiarity with networking principles. - Experience in designing, developing & maintaining highload real-time services. - Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources. - Hands-on experience with setting up and improving CI/CD pipelines. - Proficiency in Python. - Experience in server-side coding for web services, and a good understanding of API design principles. - Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty. - Familiarity with Service-Oriented Architecture, knowledge of communication protocols like protobuf. - Experience with NoSQL and relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL, ClickHouse/Athena). - Experience with any of the major public cloud service providers: AWS, Azure, GCP. - Experience collaborating in cross-functional teams. - Excellent English communication skills. - Ideal candidate has previous experience building ad tech solutions. - We're looking for someone who can overlap with 11:00–16:00 UTC — to keep collaboration smooth across time zones. BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Задачи: — архитектурное проектирование решений с опытом от 3 лет. — понимание принципов разработки ПО, паттернов проектирования, микросервисных и серверлесс-архитектур. — документирование архитектурных решений и интеграционных схем с использованием UML и BPMN. — интеграция с внешними сервисами и проектирование API (REST, gRPC, GraphQL). — работа с облачными платформами AWS, Azure, GCP и CI/CD. Требования: — опыт архитектурного проектирования не менее 3 лет. — знание UML, BPMN. — навыки проектирования API и интеграции с внешними сервисами. — опыт работы с облачными платформами и CI/CD. Условия: — удалённая работа. — фулл тайм занятость. В отклике необходимо указать ID вакансии, ФИО, локацию, возраст, занятость, формат работы, стек, опыт, резюме и сверку с требованиями.

О компании FANzino — B2B-провайдер игр нового формата в мире онлайн-гемблинга. Задачи: — Проектирование, внедрение и поддержка CI/CD пайплайнов с использованием GitLab CI/CD. — Развертывание, администрирование и масштабирование приложений в Kubernetes (K8s). — Управление доступами и развертывание систем Jira, Confluence. — Управление и оптимизация инфраструктуры на базе AWS (EC2, S3, RDS, VPC, IAM, EKS и др.). — Управление DNS. — Администрирование и глубокое понимание операционных систем Linux. — Настройка, мониторинг и обеспечение отказоустойчивости кластеров Kafka и NATS. — Управление и поддержка кластеров баз данных (PostgreSQL, MySQL, Clickhouse) включая репликацию, бэкапирование и восстановление. — Внедрение и поддержка систем мониторинга, логирования и оповещения (Prometheus, Grafana, ELK Stack). — Внедрение и проектирование PKI и SSH инфраструктуры управления доступами. — Обеспечение безопасности инфраструктуры и приложений. — Менторство и передача знаний младшим членам команды. — Поиск и устранение неисправностей, оптимизация производительности систем. Требования: — Опыт работы на позиции DevOps Engineer от 5 лет. — Экспертные знания Kubernetes: опыт развертывания, управления, масштабирования и траблшутинга кластеров. — Понимание архитектуры K8s. — Глубокие знания Linux: администрирование, сетями, файловыми системами. — Опыт работы с GitLab CI/CD: создание и поддержка сложных пайплайнов, интеграция с различными инструментами. — Практический опыт с Apache Kafka: установка, настройка, мониторинг, оптимизация производительности и обеспечение отказоустойчивости кластеров. — Уверенный опыт работы с AWS: проектирование и управление инфраструктурой, знание основных сервисов (EC2, S3, RDS, VPC, IAM, Route 53, CloudWatch, EKS). — Опыт администрирования кластеров баз данных: знание принципов репликации, резервного копирования, восстановления, мониторинга производительности. — Опыт работы с системами управления конфигурациями Ansible и инструментами Infrastructure as Code - Terraform. — Работа с предоставлением доступов через SSH, PKI. — Опыт работы с системами мониторинга и логирования (Prometheus, Grafana, ELK Stack, Zabbix). — Понимание принципов сетевой безопасности и опыт применения лучших практик. Будет плюсом: — Наличие сертификаций AWS (например, AWS Certified DevOps Engineer - Professional). — Сертификации Kubernetes (CKA, CKAD). — Опыт работы с другими облачными провайдерами (Azure, GCP). — Знание других брокеров сообщений (RabbitMQ, Redis Streams). — Опыт работы с сервис-мешами (Istio, Linkerd). Личные качества: — Сильные аналитические и навыки решения проблем. — Отличные коммуникативные навыки. — Умение работать в команде и самостоятельно. — Проактивность и желание развиваться в новых технологиях. — Ответственность и внимание к деталям. Условия: — Работа из офиса: офис на Кипре (Лимассол). — Гибкое начало рабочего дня. — Компенсация питания в офисе. — Официальное оформление по ТК Кипра. — 4 дополнительных day off. — Отсутствие легаси.

Задачи: — Отвечать за техническое направление, сроки поставки и развитие команды из 3 разработчиков и 3 QA-инженеров. — Работать в паре с Product Owner продукта IB360. — Отчитываться EVP of Product Management. — Проводить 1:1, перформанс-ревью и карьерные разговоры с командой. — Формировать технический роадмап домена вместе с продуктом. — Участвовать в код-ревью, тестировании, CI/CD, управлении инцидентами и поддержании архитектурных стандартов. — Планировать спринты, проводить груминг бэклога, триаж багов, анализировать метрики и velocity. — Мониторить здоровье системы, участвовать в on-call и SLA вместе с сервис-партнерами. Требования: — Опыт разработки не менее 6 лет, из них минимум 2 года в управлении инженерной командой. — Практический опыт работы с одним или несколькими языками: Python, Java, C#, .NET. — Знание платформ Android, Windows и Linux, а также MySQL и gRPC. — Навыки построения и поддержки CI/CD, написания unit- и интеграционных тестов. — Опыт работы с облачными платформами AWS или Azure, микросервисной и event-driven архитектурой. — Опыт найма, развития и удержания сильных инженеров. — Владение Agile и опыт работы в сложных проектах с быстрым темпом. — Опыт международной разработки и работы между часовыми поясами. — Уверенное владение английским языком для объяснения технических вопросов нетехническим стейкхолдерам. Будет плюсом: — Высшее образование в области Computer Science или Software Engineering. — Опыт работы с распределёнными системами под высокую нагрузку и большие объёмы данных. — Знания в области data engineering и platform engineering. — Опыт внедрения новых технологий, процессов или структуры команды. — Участие в open source проектах или технических сообществах. Условия: — Гибридный формат работы с офисом в центре Белграда. — Контракт и полная занятость. — 25 дней отпуска в году, включая праздники и больничные. — Ежемесячная медицинская выплата. — Подписка на AI-ассистента для кода. — Вся коммуникация ведётся на английском языке. Оплата: $4 500–5 500 в месяц. География работы: Белград, гибридный формат.

Задачи: — Работа с хранилищами данных, архитектурой данных и моделированием данных. — Использование Snowflake, dbt Core, Databricks. — Работа с Apache Airflow и Azure DevOps. — Понимание процессов ETL/ELT и интеграции данных. — Участие в проектах миграции и модернизации платформ данных. Требования: — Большой опыт работы с хранилищами данных, архитектурой данных и моделированием данных. — Отличные навыки работы с SQL. — Практический опыт работы со Snowflake и dbt Core. — Знание Data Vault 2.0 и Databricks. — Опыт работы с Apache Airflow и Azure DevOps. — Понимание процессов ETL/ELT и интеграции данных. — Отличные навыки командной работы, коммуникации и решения проблем. — Владение английским языком на уровне C1 и немецким на уровне B2. Желательно: — Знание Python для обработки данных и автоматизации. — Опыт работы с ИИ-помощниками для написания кода (Claude Code, GitHub Copilot). Условия: — Удалённый формат работы. — Оформление через ИП. — Локация: ЕС.

Location: Riga, Latvia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. What you'll do: Advertising data and business analysis ● Analyze performance: Work with digital advertising metrics such as spend, impressions, clicks, conversions, campaign performance, and revenue to identify trends, anomalies, differences, and possible drivers across platforms and markets. ● Connect context: Combine platform, CRM, financial, and internal operating data to support questions across markets, advertisers, products, and teams. ● Explain results: Translate findings into concise observations and useful visualizations, clearly distinguishing facts, assumptions, and data gaps. Reporting, data preparation, and quality ● SQL and cloud data: Work directly with database tables using SQL to query, join, clean, and organize datasets in Google BigQuery or comparable cloud data environments; help maintain straightforward reporting views and transformations. ● Support BI reporting: Build and maintain reporting datasets, dashboards, and recurring reports using agreed definitions in Looker Studio or comparable tools. ● Validate reliability: Check completeness, duplicates, consistency, unexpected changes, and reconciliation against source totals; document and escalate issues. Data connections and lightweight automation ● Follow the data: Understand how data from digital advertising platforms, CRM, and internal sources reaches cloud data environments such as BigQuery and feeds reports; help check scheduled refreshes and investigate missing or delayed data. ● Support connections: Assist colleagues with existing advertising-platform data connections and basic API-related issues, such as changed fields or incomplete responses. ● Simplify repeatable work: Improve recurring data preparation and validation primarily through SQL; experience with Python, another scripting or programming language, or practical automation tools is useful but not central to the role. ● Provide continuity: Learn and document selected BI data refresh and preparation routines so they can be supported when the main technical colleague is unavailable; escalate infrastructure issues to Data or IT Collaboration and professional growth. ● Clarify requirements: Work with analysts and business colleagues to understand the question, expected outputs, and suitable data sources. ● Document work: Keep data sources, logic, dependencies, procedures, and known limitations understandable and reusable. ● Develop capabilities: Build on practical statistical understanding and gradually apply approaches such as segmentation, anomaly detection, forecasting support, and introductory predictive analysis where they improve business decisions. What are we looking for: Experience and education ● Relevant experience: 1+ year of hands-on experience in digital marketing analytics, performance reporting, business intelligence, or data analysis involving direct work with databases. Experience gained in agencies, relevant internships, or substantial practical projects is welcome. ● Preferred background: Experience in a media agency, performance marketing agency, digital agency, ad-tech company, or advertising analytics team is a strong advantage, particularly if it involved working directly with digital advertising platform datasets rather than only finished dashboards. ● Education: Degree or equivalent practical experience in analytics, statistics, mathematics, computer science, engineering, economics, or a related field. A background in statistics or quantitative analysis is a particular advantage. Capabilities ● SQL – essential: Practical ability to query and combine structured data independently using SQL (e.g., joins, filters, aggregations, and basic transformations). Advanced SQL expertise is not expected, but database work should be familiar. ● Cloud data platforms: Hands-on experience with Google BigQuery or a comparable cloud data warehouse or analytics environment, such as Amazon Redshift, Snowflake, or Azure-based data solutions, is highly valued. No specific cloud vendor experience is required ● Reporting and analysis: Can prepare datasets and work with reporting tools such as Looker Studio, Power BI, Tableau, or Looker; understands campaign metrics and knows how to investigate inconsistent results ● Database understanding: Understands database tables, relationships, refreshes, and the path from source platforms into reporting datasets; has worked with underlying data rather than only ready-made dashboards. ● Digital platform data: Experience working with advertising or measurement data from platforms such as Google Ads, Meta Ads, TikTok Ads, Microsoft Advertising, Amazon Ads, DV360, or GA4 is a strong advantage. Familiarity with one or several platforms is sufficient; expertise across all platforms is not expected. ● Analytical and statistical thinking: Comfortable with data distributions, averages, variation, trends, comparisons, and basic statistical reasoning; able to spot anomalies, challenge assumptions, and explain results in business terms. ● Communication and ownership: Clear English, careful documentation, collaborative working style, and willingness to learn from both business and technical colleagues ● Additional technical skills: Exposure to Python, JavaScript, Java, R, or another programming or scripting language, as well as APIs, or basic automation, is a plus rather than a requirement. Practical curiosity and willingness to learn are more important than a particular language. Measures of success: ● Trustworthy output: Reports and datasets are accurate, consistent, traceable, and delivered on time ● Useful insight: Analysis identifies meaningful performance signals and supports practical business decisions ● Operational resilience: Selected BI data connections and refreshes are monitored, documented, and supported with appropriate escalation ● Efficiency: Manual preparation or recurring reporting effort is reduced through safe, maintainable improvements ● Growth: Increasing independence with SQL, cloud-based datasets, advertising-platform data structures, and selected BI workflows, with opportunities to develop toward advanced analytics. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Poland; Romania; Bulgaria; Serbia Workplace: Remote We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it. The role B2Spin is looking for a Data Science Manager to lead and grow our data science team across product, marketing, performance, and beyond. Reporting to the Head of Data, you'll set the quality bar for modelling and experimentation, translate business needs into clear team priorities, and act as the connective tissue between data scientists and the stakeholders who depend on their work. This is a role for someone who is genuinely hands-on, cares deeply about craft, and knows how to bring out the best in the people around them. What you'll do - Own the team's output across verticals — partner with the Head of Data to shape and prioritise the roadmap so data science work stays tightly aligned with business goals. - Bridge data science and the business — translate stakeholder needs into team priorities, manage expectations proactively, and communicate trade-offs and results in terms that land with non-technical audiences. - Raise and hold the quality bar — review modelling approaches, experimental design, and causal inference work, and step in directly to pair, deliver, or course-correct when coverage or quality demands it. - Hire, coach, and grow data scientists — run the hiring loop, lead 1:1s, and partner with the Head of Data on performance, compensation, and career development. - Drive rigorous experimentation — champion sound A/B testing, quasi-experimental methods, and causal thinking across both product and performance tracks. What we're looking for - A hands-on data science background with a track record of delivering models, experiments, or analyses that other teams actually used — not just built. - Demonstrated depth in at least one domain: Recommendation Systems, - - Experimental Design and Causal Inference, Customer Segmentation, Churn Prediction, Fraud/Anomaly Detection, or CRM analytics — product-focused experience particularly valued. - Strong command of statistical methods, supervised and unsupervised machine learning, and causal inference, sufficient to review and credibly challenge work across both tracks. - Evidence of leading others — as a tech lead, mentor, or hiring interviewer; prior formal people-management experience is a plus. - Proficiency in Python and SQL. - The communication range to give precise technical feedback to data scientists and represent the team clearly to senior non-technical stakeholders. - Familiarity with cloud-based data and ML platforms (AWS, GCP, or Azure) is a nice-to-have. Our values At B2Spin, passion drives everything — we love building cool stuff and want teammates who feel the same way. We operate on performance: accountability, transparency, and a bias for progress over perfection. If that sounds like your kind of environment, we'd love to hear from you. Equal opportunities We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Задачи: — проектирование и развитие безопасности multi-cloud инфраструктуры на базе AWS и Azure — управление IAM/PAM и Hybrid Identity — обеспечение безопасности сетевого периметра — работа с SIEM, EDR и реагирование на инциденты — автоматизация security-контролей, включая Terraform, CI/CD Security, Kubernetes Security, Policy-as-Code Требования: — опыт работы 6+ лет в Infrastructure / Cloud / Security Engineering, из них 3+ года с фокусом на Security — сильный production-опыт с AWS и Azure, проектирование multi-cloud инфраструктуры — глубокие знания Active Directory, IAM/PAM, Hybrid Identity — практический опыт с SIEM, EDR и Incident Response — опыт работы с Terraform, CI/CD Security, Kubernetes Security, Policy-as-Code — опыт работы в регулируемой финансовой индустрии — опыт обеспечения безопасности crypto-инфраструктуры: wallets, HSM/MPC, crypto exchanges или crypto payments — дополнительные знания: ISO 27001, SOC 2, DORA, API Security, Threat Modeling Условия: — география: Кипр или Дубай (ОАЭ), рассматриваются кандидаты, готовые к релокации — формат работы: гибридный, 3 дня в неделю в офисе — язык общения: русский — компенсация обсуждается индивидуально, ориентир на ожидания кандидата — отсутствует time tracking

Location: Paris, Remote Workplace: remote Our Security and IT team keeps the 360Learning platform secure, compliant and auditable for the 1,500 organisations that learn on it every day. As a Senior DevSecOps Engineer, your mission is to make our infrastructure secure by design, detectable by default, and provable at audit time. 360Learning runs its learning platform on Azure and Kubernetes, certified ISO 27001:2022 and SOC 2 Type II. Over the past two years the technical security workload has grown on every front: a larger and more regulated customer base sending their own scans and security assessments, a wider detection and response scope, more infrastructure to keep hardened and auditable, and a growing backlog of security engineering projects that never reach the top of the queue. We are creating this position to add real technical capacity on the infrastructure side of security, and to move part of our security posture from manual effort to automated guardrails. You will be the bridge between security and platform engineering: deep enough in infrastructure to fix things yourself, and close enough to security operations to know what to look for. “Ours is a small, senior team with a broad scope: information security, compliance, infrastructure governance and internal tooling, with dual audit accountability on ISO 27001:2022 and SOC 2 Type II. That means direct impact and no layers between you and the decision. Roughly half of this role is greenfield build work you will own end to end.” Guillaume Seigneuret, CISO and Hiring Coach. Within 1 month, you will: Complete our onboarding and learn how we work through our own platform and our Convexity culture Map our Azure and AKS environment, our detection and logging coverage, and our ISO 27001 and SOC 2 control scope with the CISO and the Security Engineer Meet the DevOps, platform engineering and IT teams you will work with daily Shadow alert triage and one customer security assessment end to end Within 3 months, you will: Be autonomous on our AKS and Azure environment and handle infrastructure related alerts end to end Have shipped at least one concrete hardening or automation improvement in production Own the infrastructure scope of vulnerability management, from triage to remediation follow up Within 6 months, you will: Have the honeypot live and producing high fidelity alerts Have measurably widened SIEM connector coverage, with documented log sources and retention Run infrastructure vulnerability remediation on a predictable cycle with SLA reporting Within 12 months, you will: Manage detection content as code, with reviewed and tested rules and documented runbooks Have largely automated audit evidence on the infrastructure scope Have eliminated long lived credentials on the critical paths, so engineering teams ship on secure defaults they did not have to think about The Skill Set: 5+ years in infrastructure, cloud or platform engineering with a strong security focus, or in security engineering with hands on infrastructure practice Production experience with Kubernetes: RBAC, network policies, admission controllers, secrets handling, workload identity, runtime security Solid cloud experience, ideally Azure. Strong AWS or Google Cloud experience with a genuine interest in converting works too Infrastructure as code: Terraform, GitOps workflows, CI/CD pipelines Scripting and automation: Python or Go, plus shell. Comfortable reading and writing code, and opening pull requests on repositories owned by other teams Log analysis and investigation: cloud audit logs, query languages, correlation across identity, network and application sources Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Security Live exercise with our Head of Security and our Head of Devops: investigation of an incident scenario, or review of an insecure infrastructure configuration Clarification Meeting with the Security Engineer and a DevOps engineer Culture Fit Meeting with our VP of Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!