DevOps Engineer

Master's or Bachelor’s degree in Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies) faculties Minimum 8+ years of experience in DevOps engineering, application services Demonstrated ability to effectively utilize AI-powered tools (e.g., GitHub, Copilot) toenhance productivity and problem-solving capabilities Understanding of AI/ML fundamentals including prompt engineering, model limitations, and bestpractices for human-AI collaboration Experience in evaluating AI-generated outputs for accuracy, security, and alignment withbusiness requirements Ability to identify opportunities for AI integration and automation within existingworkflows and processes Technical Basic/intermediate knowledge of database concepts/scripting (SQL Server, PostgreSQL preferred) Proficient in Git. Hand-on experience with the Java technology stack, Spring Boot ecosystem. Basic/intermediate experience with ELK Proficient in Docker & Kubernetes. Hands-on experience with Prometheus / Grafana. Good knowledge of Linux. Knowledge of ITIL. Nice to have Atlassian Bamboo / Jenkins / GitLab runners. Good understanding of asynchronous systems and message brokers (e.g. Kafka). Nice to have cloud ops experience (AWS, GPC, etc).