Напиши текст вакансии для должности "DevOps Engineer, Cloud Backend Services". Название компании: "DataArt". Расположение: Санкт-Петербург. График работы: Гибкий график. Опыт работы: От 1 года до 3 лет. Ключевые навыки: 

DevOps Engineer, Cloud Backend Services About the vacancy The client provides production solutions that include wearable devices and Cloud backend services. The product is designed to monitor the work environment to increase workplace safety. Devices send data to a server for real-time analysis. Alerts may help to prevent dangerous situations in the workplace. This is the first generation of the solution and now it has to cope with some architectural issues to increase scalability, reliability, and performance. At the moment our architects are working on analyzing it and preparing a plan for the implementation of the new version. The next phase is to build a new version. The team will consist of 8-11 specialists, the team size is to be clarified after the solution design phase. Technology stack and infrastructure: Java, Kotlin, Angular.io, MongoDB, PostgreSQL Within the project, you will: • Work with cloud service providers (mostly AWS but also Azure, GC and dedicated servers as well) • Work in a high load environment with a large amount of data using the Scrum methodology • Work on a long-term project. Must have  Experience as a DevOps and/or SysOps engineer, architecting and deploying apps for both on-premise and cloud-based systems Well versed with SRE practices Experience with managing and deploying event-based architectures with Apache Kafka/ActiveMQ Strong understanding and experience of Infra as code using Terraform, Ansible, Python, or cloud SDKs Strong experience in capacity planning and deploying low latency, high availability, and fault-tolerant architectures. Excellent knowledge of Security principles Solid experience in building and deploying containarized apps Experience with APMs and log aggregation pipelines in TBs Experience with Various API gateways and serverless architectures.  Would be a plus  Experience in building real-time low latency high volume data processing apps Experience with Hybrid Infrastructure Management (on-premise and cloud-based) Experience with Kubernetes, ArgoCD, and Kube Native Apps Multicloud experience Experience with deploying and scaling big data tech stacks Experience with the IOT/IIOT domain. Knowledge of various IOT communication protocols and the required infrastructure for them Experience with implementing GDPR, PCI-DSS, and other data privacy standards  DataArt offers   Professional Development:— Experienced colleagues who are ready to share knowledge;— The ability to switch projects, technology stacks, try yourself in different roles;— More than 150 workplaces for advanced training;— Study and practice of English: courses and communication with colleagues and clients from different countries;— Support of speakers who make presentations at conferences and meetings of technology communities.     The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;   Friendly atmosphere, concern for the comfort of specialists;   Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues;   The ability to work in any of our development centers.