Production Support Engineer

DCG is a space where business needs and people's ambitions meet. They help candidates find environments to develop their skills and assist companies in building effective teams by listening carefully and responding to what matters to them, fostering lasting and valuable relationships.

• Proven experience in IT operations, application support (2nd/3rd line), or a similar production-facing role with 5+ years of experience
• Demonstrated ownership of incidents end-to-end, from alert handling through RCA and prevention
• Practical experience working within an ITIL framework, including incident, problem, and change management, with 2+ years of experience
• Experience working in Agile delivery environments alongside development teams
• Excellent English communication skills with the ability to explain technical issues to both technical and non-technical stakeholders
• Hands-on experience with Splunk, Apica, and Sysdig for log analysis, monitoring, and alerting
• Strong understanding of Prometheus and Grafana for dashboard analysis and alert tuning
• Practical experience operating services on Kubernetes and Linux CLI, including pod health checks, log analysis, and service restarts
• Experience executing and troubleshooting Jenkins deployment pipelines
• Proficiency with Git version control systems
• Experience querying and troubleshooting relational databases including Oracle and DB2
• Working knowledge of Spring/Hibernate applications, Kafka message flows, and XML/JSON payload analysis

Nice to have:

• Helm deployments
• Java/J2EE
• IBM DataStage
• Bash or Python for automation
• Ansible

• Own incident and problem management processes, including RCA, resolution, and preventive actions
• Monitor production service health, detect anomalies, and respond before issues become incidents
• Execute and oversee deployments through CI/CD pipelines and coordinate rollback activities when required
• Troubleshoot failed deployments and support release execution processes
• Maintain stability and alignment of Pre-Production and Production environments
• Document operational procedures, known issues, and resolution steps in runbooks and knowledge repositories
• Collaborate with development and platform teams to triage incidents and address operational requirements
• Identify recurring operational issues and propose automation or tooling improvements
• Improve observability through dashboards, alerts, and log analysis
• Contribute to service continuity activities and disaster recovery exercises