Location: Москва
Управление эксплуатации — команда создает отказоустойчивую инфраструктуру для умных устройств и высоконагруженных систем. У нас много классных сервисов, которые доступны клиентам 24/7.
Обязанности
* Внедрение и сопровождение высоконагруженных сервисов
* Создание промышленных и тестовых сред (VM, OpenShift)
* Решение задач по повышению надежности и доступности IT-систем
* Решение инцидентов, анализ причин их возникновения
* Применение методологии и инструментов DevOps в работе (BitBucket, Ansible, Jenkins, GitLab)
* Настройка и развитие систем мониторинга и логирования (Zabbix, Grafana, Prometheus, ELK)
* Автоматизация рутинных задач на Python / Ansible / Bash
Требования
* Уверенные знания Linux (опыт работы от 2-х лет)
* Опыт внедрения и сопровождения высоконагруженных IT-систем
* Опыт использования Docker в микросервисной архитектуре
* Опыт работы с системами мониторинга и логирования (Zabbix, Grafana, Prometheus)
* Понимание сетевых протоколов и принципов построения высоконагруженных и отказоустойчивых систем
* Опыт работы с инфраструктурными компонентами (Haproxy, Nginx, Kafka, Zookeeper)
* Опыт написания скриптов на Python / Bash и работы с инструментами DevOps (BitBucket, Ansible, Jenkins, GitLab)
* Опыт работы с Kubernetes / OpenShift
* Опыт построения CI/CD и автоматизации задач (Ansible, Jenkins, Python)
* Опыт работы с Elastic / Opensearch, Apache Ignite
* Опыт работы с БД: PostgreSQL, MongoDB, ClickHouse
Условия
* Инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти;
* Среда для обмена знаниями – высокая экспертиза внутри команды;
* Сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать;
* Нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам
* Стабильная заработная плата и годовой бонус;
* **Гибридный формат работы.** Современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом;
* 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 использования трёх близких;
* Вознаграждение за рекомендацию друзей в команду Сбера.
Location: Intellias
Meet your recruiter
Yuliia Serednia
yuliia.serednia@intellias.com
https://www.linkedin.com...
Vacancy details
ITSM
Support Engineer
Senior
Ukraine
Remote
APPLY NOW
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Let’s connect people globally! With a first-class team of engineers, Intellias provides and supports top-level services in the telecom sector all over the world. Join in and be among those who create the future of communications! We welcome motivated individuals eager to grow their skills in enterprise-grade telecom support operations.
What project we have for you
Our client, a leading software and services provider for communications and media companies, is establishing the Support and Maintenance team for newly launched project in Ukraine, so looking for strong and motivated support personnel with experience in operating high-performing, scalable, enterprise-grade applications and frameworks (On-prem OpenShift, Kubernetes, HBase, Kafka). You will be part of a talented software engineering team that is servicing the next generation of our product using micro services technology stack.
Take responsibility on operations and support of Production BSS (Telecom Billing, rating, ordering, PCRF, network provisioning, IVR, Product catalog and API) IT project in ensuring the Maintenance and services operations SLA. Ensure solution meets customer business and technical needs by leveraging out clients IT assets and best practices while considering IT strategic goals.
What you will do
In one sentence:
Responsible to monitor perform ticket analysis, service interruption analysis, timely resolution or the incidents, failures and to minimize business impact by providing and developing work arounds.
Responsibilities:
Troubleshoot and resolve application issues, implementing work arounds and proactive measures to prevent future occurrences.
Participate in on-call rotations and provide timely incident response and resolution.
Perform ticket analysis, service interruption analysis.
Ensure timely resolution or escalation within the agreed SLA. This includes creating a positive customer support experience and building strong relationships through understanding the problem, communicating promptly on progress, and handling customers with a professional attitude.
Analyze and fix order fallouts from various applications, journalize manual billing requests, process payments, and customize miscellaneous activities
What you need for this
Critical Experience:
Business Support System (BSS) experience is a must (billing, telecom billing, CRM, telecom CRM, ordering, logical inventory, product catalog – some of these modules experience is needed, and understanding how they are linked together)
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Proficiency in scripting languages such as Shell, Python or Bash.
Familiarity with containerization tools like Docker and container orchestration tools like Kubernetes.
Must have experience of working with microservices.
Experience with monitoring and logging tools (e.g., Prometheus, ELK stack, Grafana).
Proficiency in Core Java and Java scripting.
Practical experience with NoSQL databases, such as Couchbase and HBase.
Hands-on expertise in PostgreSQL.
Proficiency in English communication, both written and verbal.
Familiarity with Business Support System (BSS).
Requirements:
6+ years of experience
Willing to work in shifts and weekend support model.
Strong problem-solving skills and the ability to work effectively in fast-paced environments.
Must have the ability to see the full End to End picture, including impact on the customer.
Ability to lead technical issues independently and sharing guidance to other team members
Will be a plus:
Familiarity with Fuse, Camel, and Spring Boot is a plus.
Knowledge of REACT and Redux is considered an added advantage.
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
BSS
Docker/Kubernetes
Grafana
Linux
PostgreSQL
Prometheus
REST
Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно
Мы — DevOps-команда «Магнита». Обеспечиваем работу внутренних сервисов и поддерживаем разработку по всей компании: ведём продуктовые задачи и создаём сервисы, от которых зависит работа десятков внутренних команд, сами решаем, какой стек использовать. У нас сильное влияние на DevOps-культуру, амбициозные внутренние проекты и свобода в выборе технологий.
Задачи
Обеспечивать эксплуатацию Grafana Stack (Mimir, Loki, Tempo и Grafana), диагностику и устранение возникающих проблем.
Развивать архитектуру мониторинга: участвовать в проектировании и внедрении изменений, повышающих производительность, отказоустойчивость и масштабируемость платформы.
Автоматизировать эксплуатацию: разрабатывать и поддерживать инструменты автоматизации развёртывания, настройки и обслуживания компонентов платформы с использованием CI/CD и Infrastructure as Code.
Мониторить состояние платформы: анализировать потребление ресурсов, нагрузку, объемы метрик, логи и трейсы, выявлять узкие места и предлагать оптимизации.
Обеспечивать надежность и качество сервиса: участвовать в разборе инцидентов, анализировать первопричины, реализовывать профилактические мероприятия и совершенствовать мониторинг доступности компонентов.
Поддерживать техническую документацию и взаимодействие с командами: обновлять эксплуатационную документацию, участвовать в технических обсуждениях и консультировать команды по подключению и использованию платформы мониторинга.
Стек технологий:
linux, docker, k8s. git, grafana
Требования
Опыт работы с Grafana Stack и Prometheus, Kubernetes, Docker, Helm, Linux и сетевыми технологиями.
Знание CI/CD, GitLab, Ansible, Python и Bash.
Опыт автоматизации DevOps-процессов, эксплуатации распределённых систем и диагностики инцидентов
Условия
Оформление в аккредитованную ИТ-компанию
Конкурентоспособную заработную плату (обсуждается индивидуально)
ДМС со стоматологией и льготными условиями для членов семьи
Технику для работы
График работы 5/2 с гибким началом
Работу в максимально уютном офисе в Москве на ст. м. Савёловская, в Краснодаре или удаленно из других городов РФ, так же есть ИТ офисы в Санкт-Петербурге (ст. м. Балтийская) и Иннополисе
Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений
Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач
Наличие корпоративных скидок и программ лояльности
Наличие корпоративной библиотеки курсов
Формат работы
Москва и Краснодар (гибрид/офис), другие города - удаленно
— Разработка и поддержка высокопроизводительных бэкенд-сервисов на Go. — Проектирование и оптимизация систем обработки потоковых данных из различных блокчейн-сетей (индексаторы, слушатели событий).
Location: Belgrade
We are looking for a
Data Security Architect
to join our
Technical Data Protection
team.
The
Technical Data Protection
team is responsible for building and continuously improving Plata’s company-wide data security framework. We focus on protecting sensitive information throughout its entire lifecycle by implementing secure data architectures, access controls, encryption, masking, tokenisation, data loss prevention, and monitoring solutions across the organization.
As a
Data Security Architect
, you will define and develop the company's target data security architecture, establishing consistent protection standards across products, data warehouses, cloud platforms, internal systems, and integrations. You'll collaborate closely with Data Engineering, Product, Architecture, Infrastructure, Information Security, Legal, Privacy, and Compliance teams to design scalable security solutions, strengthen data protection practices, and ensure sensitive information remains secure across all environments.
Challenges that await you:
Designing the company-wide target architecture for protecting sensitive, confidential, personal, financial, and payment data.
Defining security requirements and controls for the complete data lifecycle - collection, transmission, processing, storage, analytics, sharing, archiving, and deletion.
Working closely with DWH, Data Engineering, and Analytics teams to embed security controls into data platforms, pipelines, models, and integrations.
Identifying critical data assets, repositories, data flows, trust boundaries, and potential exposure points.
Establishing and improving the company’s data classification, labelling, ownership, and handling model.
Defining architectural requirements for encryption, key management, tokenisation, masking, anonymisation, pseudonymisation, and secrets protection.
Designing access control principles for data platforms, including least privilege, segregation of duties, role-based access control, and periodic access reviews.
Defining security requirements for databases, data lakes, data warehouses, object storage, backups, APIs, analytical tools, and data exchange mechanisms.
Performing data security risk assessments and threat modelling for new systems, products, integrations, and major architectural changes.
Developing reusable security patterns, reference architectures, standards, and technical requirements for teams working with data.
Defining the target architecture and coverage requirements for DLP, data discovery, data access monitoring, and other data protection technologies.
Supporting regulatory and contractual requirements related to personal, financial, payment, and other regulated data.
Building a long-term data security roadmap based on identified risks, business priorities, and regulatory requirements.
Supporting security reviews and providing architectural sign-off for solutions that process critical or sensitive data.
Defining data security metrics and helping measure control coverage, effectiveness, and maturity across the company.
Providing technical guidance to the Data Security Engineer and other teams implementing data protection controls.
Our technology stack:
Data Platforms & Storage
Cloud data warehouses and data lakes.
Relational and NoSQL databases.
Object storage and backup platforms.
ETL/ELT pipelines, analytical platforms, and data integration services.
Snowflake, PostgreSQL, Amazon Aurora, Amazon S3, and related technologies.
Cloud & Infrastructure
AWS and cloud-native security services.
Kubernetes and Docker.
IAM, OIDC/SAML SSO, and RBAC.
Key management, secrets management, and encryption technologies.
Security & Monitoring
Data Loss Prevention solutions.
Data discovery and classification technologies.
SIEM and security monitoring platforms.
Data access and audit logs.
Jira Service Management and GitLab.
What makes you a great fit:
3+ years of experience in Information Security, including hands-on experience with data security architecture or cloud security architecture.
Strong understanding of data security principles and the complete data lifecycle.
Experience designing security controls for DWH, databases, data lakes, cloud storage, data pipelines, APIs, and analytical platforms.
Good understanding of data classification, access control, encryption, key management, masking, tokenisation, anonymisation, and DLP.
Experience conducting architecture reviews, risk assessments, and threat modelling.
Understanding of privacy, financial sector, and data protection requirements.
Ability to translate security and regulatory requirements into practical technical controls.
Ability to work effectively with Data Engineering, DWH, Architecture, Infrastructure, Product, Legal, Privacy, and Compliance teams.
Strong analytical thinking and the ability to work with complex data flows and distributed environments.
Clear written and verbal communication skills.
English B2+ for working with documentation and international teams.
Your bonus skills:
Experience in fintech, banking, payments, or another highly regulated industry.
Experience with Snowflake, AWS, PostgreSQL, or other modern data platforms.
Knowledge of PCI DSS and privacy regulations applicable to personal and financial data.
Experience implementing enterprise data classification or data security governance programs.
Understanding of data mesh, zero trust, and security-by-design principles.
Experience with Data Security Posture Management or Cloud Data Security solutions.
Relevant certifications in cloud, security architecture, privacy, or data protection.
Our ways of working
:
Innovative Spirit
: a commitment to creativity and groundbreaking solutions
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits
:
Relocation support
to one of our hubs — Georgia, Cyprus, Kazakstan — with assistance for the employee and their family
Flexible work
from one of our offices or remote
Healthcare Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursements
Vacation Policy:
Annual leave and paid sick leave as per applicable policies
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
The person in it owns the product direction and execution of the Engineering Platform, treats Creatio engineers as customers, and is measured by how reliable, self-service and automated the platform becomes, not by how well the backlog is groomed.
Responsibilities:
Platform reliability. Own SLOs for platform services. Turn incident and problem data into a preventative roadmap. Over time, incidents should become rarer, shorter, and less repetitive. We track the trend, shared with all the stakeholders.
Standards and golden paths. Define, with Tech Leads, the paved roads for new services, pipelines, environments and testing. Make the paved road the easiest option, then measure adoption. Guide teams on industry best practice. Retire custom (not optimal) setups.
Security posture of the platform. Own patch and vulnerability remediation SLAs for platform components. Make software updates a background process (automated updates, dependency bots, image rebuilds), not a periodic project.
Toil removed. Quantify manual work across provisioning, pipelines, ops requests, onboarding and patching. Eliminate it in order of impact, preferring self-service and automation over faster ticket handling.
DX measurements. Take the existing signals (build time, provisioning time, developer surveys) and build them into a coherent, published scorecard that Engineering leadership uses to steer investment.
Product Goals: Formalizing Product Goals, Deliverables breakdown and tracking, execution and adoption tracking.
Problem Management: cases review; Defining and prioritizing Problems.
Requirements:
Several years building or operating developer platforms, DevOps or SRE tooling in an organization of 20+ engineering teams, followed by a product, lead or staff-level role owning direction for such a platform.
A builder's background: has personally written and operated CI/CD pipelines, infrastructure-as-code and automation. Still reads code and pipeline definitions fluently, reviews designs, prototypes when needed, but chooses to delegate the build.
Working knowledge of: containers and Kubernetes; CI/CD systems (TeamCity, Jenkins, GitHub Actions or similar); IaC (Terraform, Ansible or similar); Windows and Linux automation; cloud and on-prem infrastructure; secure SDLC and vulnerability management.
Track record of eliminating manual work at scale: can describe a class of toil they removed, how they measured it and what the second-order effects were.
Practical experience applying AI tools and agents to engineering workflows, and a point of view on where they help and where they do not.
Product craft: discovery with internal users, outcome-based roadmaps, prioritisation under constraint, clear written decision records.
Influence without authority: has changed how engineers work across teams they did not manage.
English B2 or higher, written and spoken; clear, concise writing is essential.
Experience defining and operating Developer Experience and platform metrics (DORA, SPACE, DevEx frameworks) and using them to drive investment.
Experience with SLO-based reliability practice and blameless post-incident process.
Experience with policy-as-code, software supply chain security and automated dependency management.
What you should expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Проектировать масштабируемую, надёжную и производительную архитектуру единой платформы данных. Разрабатывать и сопровождать техническую дорожную карту платформы, синхронизированную с бизнес-целями и потребностями исследователей.
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
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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
Функциональное тестирование интентов: проверка формулировок, слотов, краевых случаев (прерывания, переспросы, неоднозначности). E2E-тестирование полного e2e диалога от запроса до ответа пользователю.
2GIS CDP — это внутренняя Customer Data Platform, лежащая в основе стратегии развития всего 2ГИС на ближайшие годы. CDP объединяет данные из десятков источников, строит единые пользовательские профили, рассчитывает метрики, интересы и модели поведения, помогает запускать real-time персонализацию прямо в продукте и управлять персонализированной рекламой и коммуникацией. Это стартап внутри большой компании — со свободой в архитектуре и технологиях, с задачами уровня highload и с реальным влиянием на бизнес-результаты.
О команде
Мы объединяем инженеров, аналитиков и ML-специалистов, которые строят систему, меняющую подход к данным в 2ГИС. Работаем с большими объемами событий, продумываем архитектуру под масштаб и надежность, ценим простые и элегантные решения. Каждый в команде влияет на архитектуру, подходы и направление развития CDP. Наш стек Backend: Go, gRPC Frontend: TypeScript, React Autotests: Python, Playwright, Allure Infrastructure: Kubernetes, Kafka, ClickHouse, Spilo/PostreSQL, Spark, Airflow. Стек только формируется — ты сможешь повлиять на его развитие и архитектуру.
Тебе предстоит
Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга.
Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков.
Проектировать и разрабатывать сервисы, обрабатывающие миллиарды событий пользователей.
Решать сложные инженерные задачи: расчеты метрик, построение витрин.
Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС.
Влиять на архитектурные решения и качество кода.
Работать в распределенной команде, взаимодействуя с аналитиками, продактами и инженерами других направлений.
Ждем от тебя
Опыт работы с highload-системами.
Опыт проектирования архитектуры данных или платформенного кода.
Опыт работы с Kafka, ClickHouse или другими системами потоковой и аналитической обработки данных.
Хорошо понимает, как работает Spark и умеет его готовить.
Хорошо владеешь одним из языков программирования (например, Python или Scala).
Самостоятельность и проактивность — ты не ждешь постановок, а предлагаешь решения.
Желание разбираться в бизнес-логике и создавать продукт, а не просто писать код.
Будет плюсом:
Опыт работы с Airflow.
Опыт анализа данных с использованием SQL.
Знание инструментов мониторинга и автоматического контроля качества данных (Data Quality, Data Contracts).
Опыт построения Data Lineage и работы с Data Catalog.
Понимание подходов к персонализации, сегментации или real-time аналитике.
Понимание, как работает S3 хранилище.
Почему это круто
Масштаб: миллионы пользователей, миллиарды событий, сотни интеграций.
Рост: CDP — стратегическое направление, растем быстро и даем расти команде.
Свобода: минимум бюрократии, максимум ответственности.
Видимый результат: все, что ты делаешь, влияет на продукт, коммуникации и рекламу 2ГИС.
Хочешь строить внутренний «мозг» 2ГИС? Присоединяйся к команде CDP.
Location: Москва
Хотите влиять на архитектуру высоконагруженных сервисов и развивать одну из крупнейших платформ в страховой и финансовой сфере?
Мы ищем **сильного Senior Java-инженера или архитектора**, который способен принимать технические решения, проектировать отказоустойчивые распределённые системы и вести команду по лучшим инженерным практикам.
Обязанности
* Разрабатывать серверную часть мобильного приложения, обеспечивая надежность и масштабируемость сервисов.
* Проектировать архитектуру микросервисов и ключевых backend-компонентов высоконагруженного мобильного приложения.
* Прорабатывать нефункциональные требования: отказоустойчивость, масштабирование, производительность, наблюдаемость (observability).
* Вести команду в технических решениях: формировать архитектурное видение, проводить tech-grooming и участвовать в декомпозиции задач.
* Проводить code review, внедрять инженерные практики и контролировать качество кода.
* Разрабатывать сложные backend-модули и интеграционные сервисы (REST/gRPC/SOAP, Kafka/RabbitMQ).
* Участвовать в построении CI/CD, оптимизации инфраструктуры, внедрении SRE-практик.
* Выступать техническим экспертом для команды и бизнеса: оценка рисков, выбор технологий, построение PoC.
Требования
* **5+ лет коммерческой разработки**, опыт проектирования распределённых систем.
* Глубокие знания **Java 17+, Spring Boot, Spring Cloud**, понимание внутренних механизмов JVM.
* Опыт проектирования микросервисной архитектуры, знание DDD, интеграционных паттернов, Event-Driven архитектуры.
* Владение **RabbitMQ**, умение проектировать очереди, ретраи, дедупликацию, идемпотентность.
* Отличное понимание SQL/NoSQL, опыт с **PostgreSQL** оптимизация запросов и схем данных.
* Контейнеризация и оркестрация: **Docker, Kubernetes, Helm, GitOps (ArgoCD)**.
* Опыт настройки мониторинга и логирования: **Prometheus, Grafana, ELK/Loki**, метрики SLA/SLO.
* Участие в построении CI/CD-процессов (GitLab CI, Jenkins).
* Навыки работы с SOAP и сложными XML-протоколами (XSD, XPATH, XSLT — как преимущество).
* Архитектурное мышление:
* Умение проектировать масштабируемые и отказоустойчивые системы.
* Глубокое владение паттернами проектирования, SOLID, Clean Architecture.
* Участие в high-level дизайне, написание архитектурных документов, схем, RFC.
* Опыт ведения команды или технического лидерства.
* Умение аргументировать решения, помогать коллегам, структурировать процессы.
**Будет плюсом:**
* Опыт в банковской, страховой или финансовой сфере.
* Знание Kotlin, gRPC, ClickHouse, Cassandra.
* Опыт внедрения SRE-подходов: error budgets, постмортемы, автоматизация инцидентов.
Условия
* Гибридный формат работы (современный офис в Москве, Олимпийский проспект 14)
* Льготные ипотечные условия кредитования
* Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие
* ДМС с первого дня и скидки на страхование для близких
* Корпоративная пенсионная программа
* Детский отдых и подарки за счет Компании
* Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию
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?
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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.
Автоотклики