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Junior DevOps Platform Engineer
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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 tolearn best practices for their effective use
. Basic understanding of AI/ML concepts and eagerness to develop skills in promptengineering and responsible AI usage
. Ability to critically review AI-generated code and outputs with guidance from seniorteam members
. Interest in exploring how AI tools can improve development workflows and problem-solving approaches
Job ID: 150951279
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:
Kibana, Maven, Prometheus, Grafana, Confluence, Docker, Mq Series, Shell script, Aws Cloud, Oracle, Python, Sybase, PowerShell, Big Data, Jira, UNIX, Sql, Jenkins, Ansible, Kafka, Elastic Search, Gitlab, Kubernetes, Control-M, AI-powered development tools, AI ML concepts
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
