DevOps Engineer

As a DevOps Platform Engineer, you will be responsible for designing, implementing, and maintaining our infrastructure and automation tools. You will work closely with development teams to ensure smooth deployment and operation of our applications. You will be a key contributor to our continuous improvement efforts, ensuring our environments are always reliable, secure, and efficient.

Main Responsibilities

• Research, design, and develop computer software or specialised utility programs.
• Develop and maintain automation tools for infrastructure provisioning, configuration management, and deployment.
• Collaborate with development teams to implement CI/CD pipelines and automate deployment processes.
• Monitor and troubleshoot infrastructure and application performance issues.
• Implement security best practices and ensure compliance with industry standards.
• Stay up-to-date with the latest DevOps technologies and trends.
• Contribute to the development and improvement of our DevOps culture and processes.

Qualifications and Profile

• Candidates should have 1-3 years of experience in relevant activities.
• Good knowledge in 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