Position: DevOps Engineer, Cloud Backend Services
Company: DataArt
Experience required: 3y
English level: intermediate

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