DevOps Engineer

• Extensive experience with Docker containerization and Kubernetes orchestration.
• Proficient in CI/CD tools such as Jenkins and Maven.
• Experience with Infrastructure as Code using Ansible.
• Proficient in relational databases, specifically Oracle and DB2.
• Basic knowledge of Spring, Hibernate, XML, JSON, and Kafka.
• Advanced troubleshooting skills using tools like Splunk and Apica.
• Experience with modern observability tools such as Prometheus, Grafana, and ELK stack.
• Experience in AI/ML operations (MLOps) and AI agent deployments.
• Knowledge of AI model serving platforms and ML workload containerization.
• Strong understanding of AI agent orchestration and workflow automation.
• Ability to evaluate and integrate new DevOps tools and practices.

Nice to have:

• Software development knowledge in Java/J2EE.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with IBM Datastage.

• Lead RCA processes and implement preventive measures for incident & problem management.
• Monitor, analyze, and optimize service performance and stability in production support.
• Build, maintain, and enhance deployment pipelines for multiple APIs in CI/CD management.
• Maintain Pre-Production and Production environments through effective environment management.
• Collaborate closely with Platform Operations teams and the delivery factory to foster cross-team collaboration.
• Create comprehensive runbooks and knowledge bases for operational procedures.
• Evaluate and implement new DevOps tools, practices, and AI-powered solutions to drive innovation leadership.
• Implement Infrastructure as Code practices and drive automation for self-healing infrastructure solutions.
• Support AI/ML workload deployments and operations.
• Lead the adoption of emerging technologies and best practices.

Work mode: hybrid, Gdańsk, Poland.