Position: Senior DevOps Engineer (AWS) (ID:9448)
Company: Infopulse
Category: DevOps
Experience required: 5y
English level: upper

Areas of Responsibility
- Providing change management implementation
- Providing incidents and problems resolution 
- Maintaining and developing CI/CD infrastructure in the project
- Analyzing current infrastructure services, apps, used technologies and tool sets, specify gaps and areas for improvement
- Being responsible for installation, configuration, and maintenance of operating systems software, database management systems, applications, and application development environments
- Working closely with client’s technical team to define the scope of improvements and with cloud architects to design the needed cloud solutions
- Participating in PoC and project implementation
Qualifications
- 5 years of practical experience of deployment concepts and maintenance of Amazon AWS, in particular Amazon Elastic Compute Cloud (EC2), Amazon Relational Database Service (RDS), with MySQL, Oracle, SQL Server, and PostgreSQL support Amazon Elastic Load Balancing (ELB), Amazon Virtual Private Cloud (Amazon VPC), Amazon Management Services (including but not limited to AWS Management Console; CloudFront, Amazon ElastiCache, etc)
- Operating systems: Linux (RPM-based, DEB-based), Windows Web Services: SOAP, REST 
- Experience with networking, data transfer, remote administration 
- Experience with enterprise class database servers and storage 
- Well-developed written and oral communication skills in English 
- Complete higher education 
Personal skills 
- Being pro-active and having very good analytical and communication skills 
- Being able to work in an agile environment with minimum guidance 
- Having a team-player character with high motivation and a “can do” attitude
- Having excellent writing, speaking and presentation skills 
- Being able to travel and be mobile
Will be an advantage
- AWS Certification: preferred 
- Experience in working with Cloud Platforms: Google Cloud, Microsoft Azure 
- Exposure to Big Data: Hadoop, HDFS, Spark, Cassandra, Kafka, Elasticsearch
- Experience in working with Mongo DB
- CentOS 6.8