Senior Software Engineer
Skills
About This Role
Overview
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.
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.
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