Актуальные заказы по Docker

DevOps engineer

Удаленно
Full-time

Мы ищем опытного DevOps инженера для участия в проекте по интеграции Platform V Works с корпоративной системой крупной компании. Кандидат должен обладать глубокими знаниями и обширным опытом автоматизации процессов разработки, тестирования и развертывания приложений.


Обязанности:

  • Разработка и поддержка инфраструктуры CI/CD с использованием современных инструментов (Jenkins, GitLab CI, Ansible).
  • Автоматизация деплоймента приложений на облачные платформы (например, Kubernetes, OpenShift).
  • Мониторинг производительности системы и обеспечение стабильности работы сервисов.
  • Оптимизация инфраструктурных решений для повышения надежности и масштабируемости.
  • Участие в разработке архитектуры и проектирования микросервисов.
  • Интеграция корпоративных систем и платформ.


Требования:

Опыт работы DevOps инженером от 5 лет

  • Глубокое понимание принципов CI/CD и опыт реализации соответствующих практик.
  • Уверенное владение инструментами автоматизации (Ansible/Terraform, Docker).
  • Хорошее знание операционных систем Linux и Windows Server.
  • Опыт настройки мониторинга и логирования (Prometheus/Grafana/ELK Stack).
  • Понимание принципов безопасности в IT-инфраструктуре.
  • Желателен сертификат от Сбербанка (СберТех) или аналогичный сертификационный документ.


Дополнительные преимущества:

  • Наличие опыта работы с интеграционными проектами крупных компаний.
  • Владение методологиями Agile и Scrum.
  • Навыки работы с системами управления конфигурациями (Chef, Puppet).
  • Опыт миграции приложений в облако.

Backend/MLOps разработчик

Удаленно
Full-time

На проект телекоммуникационной компании требуется Middle+ / Senior Backend/MLOps-разработчик с уверенными знаниями и опытом работы в Data Software Engineering с MLOps Python.


Задачи:

·   Разработка и поддержка продакшн-сервисов для интеграции ML-моделей с системой внутреннего документооборота.

·   Развёртывание, конфигурация и мониторинг ML-инференс-сервисов (VLLM, MLServer, Triton).

·   Построение и автоматизация CI/CD пайплайнов для ML и backend-компонентов.

·   Оптимизация производительности и масштабируемости сервисов.

·   Интеграция ML-решений с корпоративной инфраструктурой (API, DWH, внутренние сервисы).

Требования

·   Уверенное владение Python (FastAPI/Flask, asyncio).

·   Опыт работы с контейнеризацией и оркестраторами (Docker, Kubernetes).

·   Знание принципов построения отказоустойчивых и масштабируемых сервисов.

·   Опыт работы с ML-инференсом в продакшне (оптимизация, профилирование, деплой).

·   Навыки интеграции с внешними и внутренними API, работы с базами данных (PostgreSQL, Redis).

·   Опыт построения CI/CD пайплайнов (GitLab CI, Jenkins, ArgoCD).

Условия:

· Локация РФ, часовой пояс МСК.

· Загрузка на полный рабочий день.

· Сроки работы 3-4 месяца.

Monitoring and Observability Engineer

Full-time
Удаленно

This role involves designing, implementing, and managing comprehensive monitoring solutions using Prometheus, Grafana, SNMP-Exporter, Streaming Telemetry, OpenTelemetry, and other related technologies.


Responsibilities

- Design, implement, and manage Prometheus-based monitoring solutions, including configurations and alert rules.

- Develop and maintain interactive and visually appealing Grafana dashboards.

- Configure SNMP modules/jobs to scrape SNMP metrics for different network technologies in a very optimized way.

- Strong knowledge of Git to be able to clone working branches, develop, and commit to the main branch. Or other approaches, but show a strong hold on Git usage.

- Identify and onboard new metrics from various systems and applications, developing data pipelines for metrics collection and storage.

- Optimize and scale monitoring environments to handle large volumes of metrics and ensure comprehensive monitoring coverage.

- Implement and manage Streaming Telemetry solutions for real-time data collection and monitoring.

- Integrate and manage OpenTelemetry for comprehensive tracing and observability across services.

- Troubleshoot and resolve issues related to data collection, monitoring configurations, and dashboard performance.

- Ensure proper instrumentation of applications and infrastructure with DevOps, development, and operations teams.

- Document configurations, procedures, and provide training to team members and stakeholders.

 

Skills

- Familiarity with network monitoring tools and practices.

- Extensive experience with Prometheus and related technologies (Alertmanager, Pushgateway, etc.).

- Strong knowledge of time-series databases and monitoring concepts.

- Proficiency in writing Prometheus queries (PromQL).

- Strong experience with Grafana and its ecosystem.

- Proficiency in creating and managing Grafana dashboards and panels.

- Knowledge of data visualization principles and best practices.

- Familiarity with monitoring and observability tools and practices.

- Strong knowledge of SNMP protocols and network device management.

- Experience with SNMP-Exporter and its integration with Prometheus.

- Strong in SNMP module creation and scrape congas for various network technologies.

- Strong Git experience.

- Strong understanding of metrics and monitoring concepts.

- Experience with metrics collection tools (Prometheus, Telegraf, Collectd, etc.).

- Experience with Streaming Telemetry solutions for real-time monitoring.

- Experience with OpenTelemetry for tracing and observability.

- Familiarity with Linux/Unix systems and scripting languages (Bash, Python).

- Experience with containerization and orchestration tools (Docker, Kubernetes).

 

Qualification 

- Bachelor’s degree in Computer Science, Engineering, or related. 

- 5+ years of experience in monitoring and observability roles.

- Proficiency in tools like Prometheus, Grafana, PromQL, Alertmanager, Alert Framework, GitHub, SNMP-exporter, Streaming-Telemetry, Otel.

- Strong coding and scripting skills.

- Excellent problem-solving abilities and attention to detail.

- Strong communication and teamwork skills.

 

Senior Python Developer

Full-time

Software company was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together.


Responsibilities

  • Own the system architecture: from choosing frameworks and database structures to designing scalable APIs and services
  • Take a hands-on role in development: build core components, POCs, and critical modules
  • Define and document architectural decisions, patterns, and best practices
  • Lead technical discussions and decisions within the team and with stakeholders
  • Help the team stay unblocked, productive, and aligned with technical direction
  • Review code, guide implementation, and ensure high technical quality across the project
  • Collaborate with DevOps and QA to ensure stability, observability, and smooth deployments


Requirements

5+ years of experience in backend development with Python

  • Proven experience as a Solution Architect, Tech Lead, or Senior Backend Engineer
  • Deep knowledge of Python frameworks (FastAPI, Django, Flask)
  • Strong understanding of:

- microservices architecture

- API design and service boundaries

- data modelling and relational databases (PostgreSQL)

- async programming and queues (e.g., Celery, RabbitMQ)

  • Experience designing systems for scalability, fault tolerance, and maintainability
  • Comfort working with Linux environments, containers (Docker), Git workflows
  • Excellent communication skills and ability to justify architectural decisions
  • Very good English language skills, both written and verbal (min. B2)


Preferred Skills

  • Experience with Azure DevOps, GitHub Actions, or other CI/CD platforms
  • Familiarity with cloud platforms (Azure, AWS, GCP)
  • Experience with system monitoring, logging, and performance profiling
  • Bonus: exposure to AI/ML integration, vector databases (e.g., Qdrant, Pinecone)


Locations: Vilnius, Lithuania (hybrid/remote) or Mexico - Guadalajara (hybrid/remote), EU country (fully remote)

Format: Long-term engagement