Senior DevOps Engineer (AI & Platform Operations)

• Incident & Problem Management: Lead RCA processes and implement preventive measures
• Production Support: Monitor, analyze, and optimize service performance and stability
• CI/CD Management: Build, maintain, and enhance deployment pipelines for multiple APIs
• Environment Management: Maintain Pre-Production and Production environments
• Cross-team Collaboration: Work closely with Platform Operations teams and delivery factory
• Documentation: Build comprehensive runbooks and knowledge base for operational procedures
• Innovation Leadership: Evaluate and implement new DevOps tools, practices, and AI-powered solutions
• Implement Infrastructure as Code practices
• Drive automation and self-healing infrastructure solutions
• Support AI/ML workload deployments and operations
• Lead adoption of emerging technologies and best practices

• Hands‑on experience with Docker containerization and Kubernetes orchestration
• Experience working with CI/CD tools, including Jenkins and Maven
• Experience with Infrastructure as Code using Ansible
• Experience working with relational databases such as Oracle and DB2
• Basic knowledge of application technologies including Spring, Hibernate, XML, JSON, and Kafka
• Advanced troubleshooting experience using Splunk, Apica, and Sysdig
• Experience with modern observability tools, such as Prometheus, Grafana, and preferably the ELK stack
• Experience with AI/ML operations (MLOps) and AI agent deployments
• Knowledge of AI model serving platforms and ML workload containerization
• Understanding of AI agent orchestration and workflow automation
• Experience implementing innovative solutions using emerging technologies
• Ability to evaluate and integrate new DevOps tools and practices
• Very good command of English, both spoken and written

Nice to have:

• Software development knowledge in Java / J2EE
• Experience working with cloud platforms, such as AWS, Azure, or GCP
• Experience with IBM DataStage