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. Should have 1-3 years experience in relevant activities.
. Good knowledge of the UNIX platform and database management systems such as SQL, Oracle, Sybase and Big Data.
. Experience with automation frameworks and libraries.
. Proficiency in scripting languages such as Python, Shell script and PowerShell.
. Good exposure to DevOps tools & technologies like Gitlab, Ansible, Jenkins,Maven, Elastic Search, Grafana, Prometheus, Kibana, Control-M, KAFKA,Confluence, Jira, and MQ Series.
. Experience with Docker / Kubernetes
. Experience with AWS Cloud platforms and services
. Familiarity with AI-powered development tools (e.g., GitHub Copilot) and willingness to learn best practices for their effective use
. Basic understanding of AI/ML concepts and eagerness to develop skills in prompt engineering and responsible AI usage
. Ability to critically review AI-generated code and outputs with guidance from senior team members
. Interest in exploring how AI tools can improve development workflows and problem-solving approaches
Job ID: 147454005
Skills:
Kibana, Sybase, Maven, Prometheus, Jira, UNIX, Sql, Jenkins, Confluence, Automation Frameworks, Docker, Ansible, Kafka, Elastic Search, Shell script, Gitlab, Oracle, Python, AWS, Control-M
Skills:
Monitoring Tools, Sql, Jenkins, Git, Shell, Docker, Ansible, Oracle, Kubernetes, Python, AWS, UNIX platforms
Skills:
.NET Applications, Elk, Windows Server, Prometheus, Grafana, Datadog, ARM templates, Terraform, Docker, Python, Azure DevOps, PowerShell, SQL Server, Bash, Pulumi, Zabbix, New Relic, Jenkins, Ansible, Splunk, Kubernetes, OpenSearch, GitHub Actions, Bicep, Active Directory, GitLab CI, Azure Monitor
Skills:
Docker, Linux, Kubernetes, AI tools, Cloud platforms
Skills:
Kibana, Maven, Prometheus, Grafana, Confluence, Docker, Automation Frameworks, Mq Series, Shell script, Aws Cloud, Oracle, Python, Sybase, PowerShell, Big Data, Jira, UNIX, Sql, Jenkins, Ansible, Kafka, Elastic Search, Gitlab, Kubernetes, Control-M
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