Production Support Specialist

We are looking for an experienced Backend Support Engineer to support, monitor, and maintain mission-critical Java-based backend systems in a high-availability production environment
.

This role is ideal for professionals who have strong Java and Spring Boot fundamentals and enjoy troubleshooting, incident management, performance monitoring, and ensuring system stability rather than full-time development.

The role requires close collaboration with development, Dev Ops, and infrastructure teams to ensure smooth application operations, timely issue resolution, and continuous service improvement.

Dubai (Onsite)

• Provide L2/L3 production support for Java-based applications and microservices.
• Monitor application health, logs, and system metrics to ensure high availability and performance
  .
• Analyze and resolve production issues
  , including performance degradation, memory leaks, and service outages.
• Perform root cause analysis (RCA) for recurring issues and implement preventive measures.
• Support deployments, releases, and hotfixes in coordination with Dev Ops and development teams.
• Handle incident management
  , SLA adherence, and on-call support as required.
• Debug application issues using logs, stack traces, thread dumps, and heap dumps
  .
• Work with Redis caching issues
  , database performance bottlenecks, and messaging failures.
• Support containerized applications running on Docker and Kubernetes environments.
• Document issues, fixes, SOPs, and operational runbooks.
• Coordinate with cross-functional teams to ensure smooth handover from development to production.

• Strong hands-on experience with Java (8/11/17) and understanding of JVM behavior.
• Good knowledge of Spring Boot applications and microservices architecture.
• Experience in production/application support
  , incident handling, and troubleshooting.
• Strong understanding of logs analysis
  , exception handling, and debugging techniques.
• Experience with Redis for cache-related issue analysis and performance troubleshooting.
• Hands-on exposure to Docker and Kubernetes from a support and operations perspective.
• Good database knowledge:
  Postgre
  
  SQL/MySQL
  , query analysis, and performance tuning.
• Exposure to message brokers like Kafka or Rabbit
  
  MQ from a support standpoint.
• Understanding of distributed systems and common production issues (timeouts, retries, failures).
• Ability to work under pressure in a 24x7 or on-call support environment
  .
• Strong communication skills for interacting with stakeholders and reporting incidents.

• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack.
• Exposure to cloud platforms (AWS / Azure / GCP) in a support role.
• Knowledge of CI/CD pipelines and release management processes.
• Understanding of SRE concepts
  , SLAs, SLIs, and error budgets.
• Basic scripting knowledge (Shell/Python) for automation and log analysis.

• Opportunity to work on large-scale, business-critical systems
  .
• Hands-on exposure to modern Java microservices and cloud-native platforms
  .
• Strong collaboration with engineering and Dev Ops teams.
• A stable role focused on system reliability, performance, and operational excellence
  .