Вакансии

В задачи входят управление командой разработки, проектирование и разработка ключевых частей системы, составление бэклога спринта совместно с PO и PM, оценка задач и планирование работ, контроль сроков, качества и приоритизации внутри спринта, обеспечение целей спринта, обучение, развитие и мотивация команды.

- Опыт в DevOps: Опыт работы от 5 лет в эксплуатации высоконагруженных (Highload) распределенных ИТ-систем.

Rebellions are looking for a Security Platform Engineer to design and develop software that integrates security data and automates monitoring vulnerability management inspections and reporting.

- Разработка новых микросервисов на Go. - Участие в проектировании архитектуры новых сервисов.

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; United States; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s Core Infrastructure Engineering team builds and operates the shared data systems behind critical production services. Our estate spans on-premises and cloud infrastructure, with MariaDB at its centre and Kafka, Redis and Elasticsearch across the wider platform. We’re hiring a Principal Database Engineer to bring long-term experience and technical judgment to this estate. You’ll assess it, set the goals and direction, and work hands-on with the team to deliver measurable improvements. This is an individual contributor role with influence across teams and several quarters of work.   THE OPPORTUNITY - Review the estate against business needs and production evidence. Judge reliability, scale, cost and operational complexity, identifying what should be preserved and where investment or simplification would make a difference. - Define the target architecture and measurable goals. Agree a prioritised roadmap with engineering leads and dependent teams, explaining the trade-offs and sequencing work around delivery risks. - Execute that roadmap with the team through design, implementation and adoption. Stay personally involved in difficult migrations and scaling decisions, with representative benchmarks, data-integrity checks and credible cutover and rollback plans. Adapt the plan as evidence changes and verify the results in production before calling the work complete. - Investigate difficult MariaDB failures and performance limits through the engine, storage and application behaviour. Improve fleet reliability through useful observability, safer changes and tested backup, restore and disaster recovery procedures. Set recovery objectives with service owners and prove them through exercises. - Build and maintain production software for database provisioning, upgrades and routine maintenance. Make self-service workflows safe and auditable, incorporating access controls and change evidence with Security and Compliance. - Work with application teams on schemas, transaction boundaries, queries and data-store choices. Make the operational consequences clear and resolve dependencies that span teams. - Mentor engineers across the team through design reviews, pairing and incident analysis. Help them deepen their database expertise and take ownership of technical decisions. - Participate in on-call and incident response, leaving clear operational ownership and following through on lessons from production.   WHAT YOU BRING - 8+ years operating and evolving production database estates at scale. You have assessed inherited systems, set technical direction and delivered improvements with engineering teams, and can explain how those decisions held up over time. - Strong understanding of high availability, replication and distributed database failure modes. You can explain consistency and availability trade-offs and reason about transaction boundaries and reliable event delivery, including transactional outbox patterns. - Deep, recent hands-on MariaDB expertise, including InnoDB, MVCC and transaction isolation, locking, query optimisation, binary logs and MariaDB GTID replication. You can explain the mechanisms and diagnostic evidence behind your decisions. - Personal ownership of MariaDB incident diagnosis, performance tuning and tested restore or point-in-time recovery. You can explain what you did, how you established data integrity and what remained uncertain. - Strong software engineering skills in Python, Go, Rust or a comparable language. You have personally built and maintained production software or automation for database workflows such as provisioning, failover, online schema changes and self-service operations, using version control, code review and delivery pipelines, with tested failure handling. - Strong low-level Linux, Kernel, storage and networking fundamentals, with the ability to investigate problems beyond the database process. - Clear written technical judgment and demonstrated delivery across teams without reporting-line authority. You help stakeholders make sound database design and lifecycle decisions, and develop experienced engineers through shared delivery.   NICE TO HAVES - Experience operating databases in containerised, hybrid on-premises/cloud or multi-region environments. Familiarity with Kubernetes, infrastructure as code or GitOps, including their operational trade-offs. - Experience with database proxies or load-balancing layers (MaxScale, HAProxy, ProxySQL, or similar). - Experience with PostgreSQL, Vitess, TiDB, ScyllaDB, ClickHouse or internal database platforms; operational knowledge of Kafka, Redis/Valkey or Elasticsearch/OpenSearch. - Experience in regulated environments or contributions to database engines, operators and other infrastructure software. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Сейчас находимся в поиске грамотного python-разработчика, который способен вдумчиво погружаться в задачи и развивать бэкенд-архитектуру наших сервисов, сохраняя её надёжность. - проектировать новые сервисы и прорабатывать технические решения «с нуля»;

Разработчик, который подключится к проектированию архитектуры и со временем станет техлидом небольшой backend-команды.

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Senior Data Engineer to join a digital healthcare initiative focused on building a large-scale health data platform that helps millions of people discover healthcare providers, connect with their health information, and make better-informed care decisions. This is a hands-on, high-ownership engineering role for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong Python and data engineering expertise with cloud-native development, production ownership, and an AI-first engineering mindset . What project we have for you The project is building a FHIR-based healthcare data platform that aggregates provider information from national registries, EHR systems, healthcare networks, and partner data feeds. The platform ingests fragmented and often inconsistent healthcare data, transforms it into standardized FHIR resources, resolves duplicate identities and relationships, and makes trusted provider information available through high-scale search and data services. The engineering challenge goes well beyond traditional ETL. Provider data comes from hundreds of heterogeneous sources and contains duplicates, outdated records, conflicting identities, incomplete relationships, and inconsistent schemas. The platform must determine how these sources relate and continuously improve the accuracy and confidence of the resulting data. The technology landscape includes Python, Apache Spark, Prefect, AWS, Kubernetes, MongoDB, OpenSearch, and FHIR , with AI increasingly used both as part of the engineering lifecycle and within data-processing solutions. What you will do Design, build, and operate scalable data ingestion pipelines that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds. Transform heterogeneous source data into standardized, trusted data models, including FHIR-native resources . Own data quality end-to-end , including validation rules, quality thresholds, confidence scoring, automated monitoring, and alerting. Design and implement solutions for entity resolution, deduplication, relationship inference, classification, enrichment, and data quality scoring . Build and evolve distributed data processing pipelines using Python, Spark, and modern orchestration technologies . Improve pipeline reliability, scalability, observability, and performance so that new data sources can be onboarded efficiently and safely. Establish and evolve data governance standards , including schemas, staging models, validation processes, and data refinement workflows. Design and operate data storage and search solutions supporting large-scale healthcare datasets. Build AI-powered data tooling that improves the accuracy, automation, and intelligence of data processing workflows. Use modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, and data analysis. Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis. Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact. Contribute to technical design reviews and help establish scalable engineering patterns across the broader data platform. What you need for this 5+ years of professional experience building and operating data-intensive backend or data engineering systems at scale. Strong hands-on expertise in Python , including development of production-grade data processing and backend services. Strong experience designing and building scalable data ingestion and ETL/ELT pipelines for large and heterogeneous datasets. Sound data engineering instincts, including data modeling, storage design, schema evolution, query optimization, caching strategies, and selecting appropriate batch or streaming processing patterns. Hands-on experience with Apache Spark or Databricks for distributed data processing. Experience with workflow orchestration technologies such as Prefect, Apache Airflow , or equivalent. Strong understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . Experience with both relational and document-oriented databases; practical knowledge of technologies such as MongoDB or comparable NoSQL platforms. Experience with search technologies such as OpenSearch, Elasticsearch , or comparable solutions. Strong AWS experience, including services such as S3, ECS/EKS, Lambda , or equivalent cloud-native technologies. Hands-on experience with Docker, Kubernetes, CI/CD , and operating cloud-native workloads in production. Strong understanding of production data pipeline concerns including reliability, fault tolerance, observability, monitoring, alerting, and incident response . Experience establishing and maintaining data governance standards , schemas, validation rules, and repeatable data refinement processes. Practical experience using AI-assisted software engineering tools as part of the regular development lifecycle. Strong ownership mindset and ability to independently identify data or engineering problems, propose solutions, implement them, and operate them in production. Strong communication skills and ability to collaborate directly with engineering, analytics, product, data science, and business stakeholders. Professional English sufficient for direct collaboration with U.S.-based teams. Experience working with healthcare data, HealthTech platforms, or healthcare interoperability . Knowledge of FHIR , particularly resources such as Practitioner, Organization, PractitionerRole, Endpoint, and Location. Experience integrating data from EHR/EMR systems, healthcare registries, provider networks , or similar complex data ecosystems. Experience designing data platforms handling PHI/PII or other regulated and sensitive information . Familiarity with HIPAA-related data protection and security considerations. Nice to Have Experience building AI-powered data processing solutions , particularly entity resolution, relationship inference, classification, enrichment, anomaly detection, or data quality scoring. Practical experience integrating LLMs into production data workflows , including evaluation, reliability, latency, cost, and data-protection considerations. Experience with AI engineering tools such as Claude Code, GitHub Copilot, Cursor , or similar platforms. 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 Python Spark

Location: Malta We are looking for a highly experienced and versatile Fullstack Engineer to join our dynamic team. This role requires a strong background in agile development practices, close collaboration with team members and product owners, and the ability to design and negotiate technical solutions end-to-end across the technical domain. Familiarity with AI tools and services to augment development practices is highly desirable. The Wow Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you! We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry! You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing. What's in it for you? Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as: Account creation, verification, updates, and closure Account authentication, controls, and security User session management Responsible Gaming A taste of what you will be doing Design, develop, and maintain scalable fullstack applications using .NET (preferably .NET 9) and Angular. Integrate and manage messaging systems such as Kafka and RabbitMQ. Deploy and manage applications using Docker and Kubernetes in AWS environments. Work with various databases including PostgreSQL, MSSQL, and Couchbase. Implement search capabilities using OpenSearch or Elasticsearch. Write and maintain frontend code using TypeScript and ensure quality with Playwright or Cypress. Collaborate closely with team members and product owners in an agile environment ensuring that the organization’s business goals are met. Utilize AI tools and services to enhance development workflows and productivity. You are good at Extensive experience with .NET technologies, preferably .NET 9. Strong proficiency in Angular and TypeScript. Hands-on experience with Kafka, RabbitMQ, Docker, and Kubernetes. Proficient in working with AWS cloud services. Deep understanding of relational and NoSQL databases including PostgreSQL, MSSQL, and Couchbase. Experience with search technologies like OpenSearch or Elasticsearch. Familiarity with frontend testing frameworks such as Playwright or Cypress. Proven experience working in agile development environments. Excellent communication and collaboration skills. Extra awesome Experience designing and negotiating technical solutions across teams. Ability to design and implement end-to-end solutions across the full technology stack. Exposure to and use of AI tools and services to support software development. What we offer Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson. Challenge Accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Москва Адаптивный PL и Цифровая арена — это мультиагентная платформа на базе ИИ, которая формирует адаптивные персонализированные предложения для продажи продуктов Сбера клиентам. Платформа работает на современном технологическом стеке: Java, Spring Boot, Kafka, PostgreSQL. Инфраструктура базируется на Kubernetes (OpenShift). Это абсолютно новая система без легаси-кода. Команда уже разработала и вывела MVP на ПРОД. Следующая стадия развития проекта — расширение функционала и тираж на всю сеть офисов Сбера по всей стране. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным! Обязанности * сбор, анализ и формализация требований к функциональным возможностям платформы (совместно с бизнес-заказчиками и продуктовой командой) * моделирование бизнес-процессов (BPMN) и проектирование логики работы микросервисов * описание сценариев интеграции с внешними системами (каналы продаж, CRM, партнёрские сервисы) через REST API и Kafka * проектирование архитектуры взаимодействия компонентов в рамках существующей инфраструктуры (Kubernetes, Kafka, базы данных) * подготовка аналитической документации: User Stories, Use Cases, спецификации API, схемы данных * анализ и оптимизация текущих процессов платформы для повышения эффективности и качества. Требования * опыт системного и бизнес-анализа от 4 лет * умение моделировать бизнес-процессы (BPMN, UML) и описывать логику работы систем * понимание архитектуры распределённых систем: микросервисы, очереди сообщений (Kafka), REST, базы данных (SQL) * знание основ Java / Spring Boot — будет плюсом (важно понимать ограничения и возможности разработки) * опыт работы с инструментами управления требованиями (Jira, Confluence, Wiki) * навыки написания спецификаций API (OpenAPI/Swagger) и работы с JSON/XML * навыки работы с генеративными ИИ-моделями. ### Будет преимуществом: * знание SQL и умение строить запросы * понимание процессов CI/CD и особенностей развёртывания в Kubernetes * опыт анализа данных (SQL, Elasticsearch, аналитические отчёты) * знакомство с инструментами архитектурного моделирования. Условия * комфортный современный офис на м. Кутузовская * формат работы: офис на время адаптации и далее гибрид * ежегодный пересмотр зарплаты, годовая премия * 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 * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендации друзей в команду Сбера.

- Не менее 4 лет опыта коммерческой разработки; - Уверенное владение ключевыми фреймворками для разработки и тестирования (ZIO, Cats, ScalaTest);

Задачи: — Выполнение проектных задач по модели аутстаффа с подключением специалиста в команду заказчика. Требования: — Опыт работы разработчиком от 3 лет в проектах по разработке, модификации или внедрению ПО на Java. — Работа с Java 11+. — Глубокое понимание Spring (Spring Boot, Spring MVC, Spring Data JPA, Spring Security) и Hibernate (ORM, транзакции, кэширование). — Опыт со Spring Cloud. — Разработка RESTful API и интеграция с внешними сервисами. — Опыт работы с Kafka, Maven/Gradle. — Знание Camunda (автоматизация бизнес-процессов, BPMN-моделирование). — Опыт работы с Oracle и PostgreSQL. — Навыки работы с Docker и Kubernetes (контейнеризация, развёртывание, масштабирование микросервисов). — Знание JUnit (юнит- и интеграционные тесты). — Опыт с ELK (Elasticsearch, Logstash, Kibana) для логирования, аналитики и мониторинга. — Командная разработка с Confluence и Jira. — Понимание принципов микросервисной архитектуры и CI/CD. — Умение писать чистый поддерживаемый код с соблюдением best practices и архитектурных паттернов. Условия: — Проектная работа, модель аутстаффа (подключение специалиста в команду заказчика). — Удалённо. — Полная занятость. — Оформление по ИП или самозанятости.

В связи с расширением команды и масштабированием проектов, в компанию Centicore Group требуется Senior Java-разработчик на крупный банковский проект. Проект: Кредитование расчетного счета клиента, закрытие кассовых разрывов, быстрый доступ к заемным средствам.

Опыт работы с Linux на уровне администратора. Навыки написания скриптов на Bash/Shell/Python для автоматизации рутинных процессов.

Управление командой: выполнение бизнесовых и технических целей, соблюдение высокого качества продукта, разработка системной архитектуры. Участие в разработке продукта: написание кода, ревью, релиз.

Поддержка и развитие решения Клиентский Портал (backend часть) Ключевые задачи: Оценка и проектирование задач.

-Опыт работы в роли разработчика от 3 лет в проектах по разработке и/или модификации и/или внедрению ПО с использованием инструментов и технологий Java.

Location: Germany; Portugal; Poland; Serbia; Spain; Ireland We are seeking a proactive Site Reliability Engineer (SRE) to keep a secure SaaS platform fast, reliable, and continuously improving. You will support a hybrid technology stack spanning Windows-based applications (.NET, IIS, SQL Server) and cloud-native infrastructure (AWS, containers, Kubernetes, and Terraform). This is a hands-on role for someone who takes ownership of production reliability, enjoys investigating complex failures, and independently identifies opportunities to improve systems. Prior Windows or SQL Server experience is not required if you bring strong infrastructure and relational database fundamentals and can learn unfamiliar technologies independently. Responsibilities Own availability, reliability, and performance of core backend infrastructure across Windows and Linux environments. Improve observability using Kibana, CloudWatch, centralized logging, and custom telemetry; identify monitoring gaps before incidents occur. Build, maintain, and improve CI/CD pipelines and infrastructure as code using Terraform and Ansible. Learn and operate production Windows environments, including .NET Framework/.NET Core applications hosted on IIS. Learn and support SQL Server, including AlwaysOn and Service Broker, alongside PostgreSQL and Aurora. Operate cloud-native services and workloads across AWS Lambda, DynamoDB, Redshift, OpenStack, and containers. Participate in an on-call rotation, troubleshoot incidents, and contribute to effective postmortems and preventive actions. Partner with engineering teams to improve deployment safety, system resilience, and operational processes. Proactively identify problems, automate repetitive work, and drive improvements without waiting for direction. Requirements 5+ years of hands-on SRE, DevOps, or WebOps experience supporting production SaaS systems. Strong practical experience with Terraform and Ansible for infrastructure management. AWS operations experience, including Lambda, DynamoDB, CloudWatch, and IAM. Strong relational database fundamentals (PostgreSQL, MySQL, or similar), including query tuning, replication, backups, recovery, and high availability. Experience operating and debugging containerized and distributed systems in production. Strong Linux systems administration skills. Ability to script and automate with Python, Bash, or PowerShell (PowerShell can be learned on the job). Experience building and maintaining CI/CD pipelines. Familiarity with Redis, Kibana, Elasticsearch, and centralized logging. Excellent incident response, troubleshooting, and communication skills. Demonstrated ownership, curiosity, self-directed learning, and a record of proactively improving systems. Availability to work US business hours and participate in an on-call rotation. Preferred Experience with Windows Server, IIS, and .NET applications. SQL Server experience, particularly AlwaysOn and Service Broker. Personal technology projects, home labs, open-source contributions, or tools built independently. Willingness to build deep familiarity with the Windows and SQL Server stack through independent learning and hands-on practice during the first six months. Benefits Salary: $5,000 to $6,000 USD per month PTO: Unlimited Setup: Fully Remote