Junior DevOps Platform Engineer — Cloud, AI Tools
Summary
Maintains cloud infrastructure and DevOps pipelines, automates deployments with Kubernetes and AWS, and integrates AI tools like GitHub Copilot to streamline development workflows.
Qualifications
- 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