Role: Backend Support Engineer

Location: Dubai (Onsite)

Key Responsibilities:

• 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 DevOps 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.

Required Skills:

• 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: PostgreSQL/MySQL, query analysis, and performance tuning.

• Exposure to message brokers like Kafka or RabbitMQ 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.

Preferred / Good to Have:

• 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.