Удаленная работа
DevOps Engineer
Удаленная работа
Полная занятость
Required skills:
- 3+ years of experience as a DevOps engineer.
- Strong experience with Ansible and Terraform.
- 1+ years of experience with AWS (including maintenance of RDS).
- 1+ years of experience with Docker and Kubernetes.
- 1+ years of experience with RabbitMQ, PostgreSQL, MongoDB, ELK, Redis, and nginx.
- Strong knowledge of Linux (especially CentOS), OSI model, load balancing, clusterization, virtualization, and VMware.
- Experience in building CI/CD processes (experience with Git & Jenkins).
- Higher Education in a relevant field.
- Enthusiasm for exploring and implementing new technologies.
- Self-learning capabilities and a proactive attitude.
- Good communication and collaboration skills.
- Experience with AI/ML model deployment and monitoring.
- Knowledge of AI frameworks such as TensorFlow, PyTorch, or similar.
- Familiarity with data pipelines and tools like Apache Kafka and Spark.
- Understanding of MLOps practices and tools.
Desired skills:
- Experience with Vault, Consul, KeyCloak, Apiman, Prometheus.
- Experience with MLops tools: Feast,DVC,MLFlow
Scope of work:
- Creating and maintaining high-load platform;
- Implementing, configuration and deployment using Ansible
- Working closely with Development to deploy new platform components and improve existing system
- Responding reliably to on-call issues
- Manage non-production integrative infrastructure and provide all its as a service;
- Drive the automation of multiple parts of infrastructure and deployment systems, striving to improve and shorten processes to enable engineering and operations teams work smarter and faster with a high quality.
- Setting up and maintaining a working DEV environment for the collective work of the Data Science team
- Develop and set up CI/CD pipelines for machine learning models.
- Participation in the operationalization/integration of developed machine learning models into the Bank's systems
- Design and implement end-to-end production pipelines for ML solutions
- Design and implement automated deployment and integration of ML models
- Setup scalable monitoring systems for data pipelines and ML models
- Maintain ML pipelines in production/
Why ПУМБ?
- Remote work/Comfortable work environment (your choice);
- Continuous professional competencies development and professional growth opportunities;
- Annual paid vacations ;
- Medical insurance;
- Friendly team of young and talented professionals.
Ганна Середницька
