Position: DevOps engineer ( Kafka , GCP, AWS, Monitoring )
Category: DevOps
English level: upper
Years of experience: 6

Last 1 year achievements;

•    Implemented MSK Clusters Monitoring and Alerting;
•    Development and Implementation of  Data Streaming Processing Solution based on Apache Flink  and .      EKS;      
•    Implementation - planned in detail and Reviewed with Architecture and Stakeholders teams;
•    Built Data processing Infrastructure with Automatically Scale to Zero ability to Maximal Cost optimization which is Core of Client Product marginality;
•    Ownership of the Machine Learning Product part for “Global Enrichment Flow”        ( Company Wide Product ) 
•    Working in Collaboration with Enterprise Architects for the implementation New ML Approach ;
•    Improved and Optimized Amazon SageMaker CI/CD , Monitoring, Auto Scaling;
Well-organized and responsible System Engineer / Team Lead focused on DataStreaming and Automation - offering over 6 years of experience in IT industry. 

   Focused on:
      - DataStreaming, Cloud (AWS, GCP), Containers, Configuration Management and IaaC; 
    - People management in Product and Service models. ( 6 Direct Reporters ); 
    - Strategic Planning and Estimation SAFe, Scrum ; 
    - Basic Budget tracking & planning;
    - Interviewing (45+); 
   

Key Areas : 
Kafka Steaming Platform;               -     AWS Cloud Operations ;
Kubernetes, EKS;                           -     Google Cloud Operation;
Configuration Management ;           -     Observability Solutions ;
Infrastructure as a Code                  -     Automation ;
- MacOS Environment 
- Result-oriented Work 
- Flexible Hours 
- Remote & Office opportunities