Senior Software Engineer

Walking Tree

Role & responsibilities

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, DevOps, and infrastructure teams to ensure smooth application operations, timely issue resolution, and continuous service improvement.

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.