Production Support & Operations Engineer

• Minimum 5 years of experience in IT operations, application support (2nd/3rd line), or similar
• Proven experience managing incidents end-to-end, including alerting, troubleshooting, RCA, and prevention
• Minimum 2 years working within ITIL processes (incident, problem, change management)
• Experience in Agile delivery environments
• Excellent English communication skills (C1)
• Strong knowledge of Jenkins for deployment pipeline management
• Hands-on experience with CI/CD pipelines, automation, and continuous improvement
• Proficient troubleshooting and problem-solving for complex production issues
• Proficiency with Splunk and Sysdig for log analysis and alerting
• Strong understanding of Prometheus and Grafana for monitoring and alert tuning
• Practical experience operating services on Kubernetes, including pod health checks and service restarts
• Expertise in Ansible for controlled configuration changes
• Strong knowledge of Docker and Docker Compose
• Basic scripting skills in Bash and Python for automation and data reconciliation

Nice to have:

• Experience with IBM Datastage operations
• Willingness to learn Pega and Airflow
• Experience with Oracle and DB2, including querying and data incident analysis
• Understanding of ETL behavior and REST API communication
• Experience supporting distributed systems and Kafka-based message flows
• Background in Java or development supporting integration understanding

• Own RCA activities for production incidents, including diagnosis, resolution, and preventive actions
• Monitor production services to identify anomalies and proactively address issues
• Design, implement, maintain, and improve CI/CD pipelines using GitHub Actions and related tools
• Automate build, test, security scanning, and deployment processes
• Oversee day-to-day stability and alignment of Pre-Production and Production environments
• Maintain operational documentation, runbooks, known issues, and resolution procedures
• Collaborate with development and platform teams to troubleshoot issues and clarify operational requirements
• Identify recurring operational pain points and propose automation or tooling improvements
• Enhance observability through dashboards, alerts, and log queries
• Support service continuity initiatives and participate in disaster recovery exercises