Senior Software Engineer

Backend Support Engineer

Location:

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.
• Document issues, fixes, SOPs, and operational runbooks.
• Coordinate with cross‑functional teams to ensure smooth handover from development to production.

• 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 log 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 such as 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 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 in Shell or Python for automation and log analysis.