Design, develop, test, deploy, and maintain scalable backend services using https://jobeax.com/link/XoOr05ZMdUyNwOHw and Java.
Build and maintain highly available, resilient, and secure cloud-native applications on AWS.
Design and implement RESTful APIs, microservices, and distributed application architectures.
Develop event-driven and asynchronous solutions using technologies such as Kafka, Amazon SQS/SNS, and RabbitMQ.
Design and optimize relational and NoSQL data models, queries, indexes, and database access patterns.
Apply appropriate software design patterns, clean-code principles, and engineering best practices.
Improve application performance, scalability, reliability, resilience, and security.
Implement appropriate retry, timeout, circuit-breaker, idempotency, and error-handling patterns for distributed systems.
Develop automated unit, integration, API, and component tests to maintain software quality.
Participate in technical design and architecture reviews and contribute to engineering standards and reusable solutions.
Perform peer code reviews and mentor junior and mid-level engineers.
L2 Application & Production Support
Provide Level 2 technical support for production applications and services, acting as an escalation point for incidents that cannot be resolved by L1/Operations teams.
Investigate and resolve application, API, microservice, database, messaging, integration, infrastructure, and configuration-related production issues.
Perform technical troubleshooting using application logs, distributed traces, metrics, database queries, AWS CloudWatch, dashboards, and other observability tools.
Diagnose issues across distributed systems, including API failures, timeouts, performance degradation, database connectivity, message-processing failures, and upstream/downstream integration problems.
Assess incident severity and business impact and prioritize troubleshooting and recovery accordingly.
Restore services within agreed SLA/SLO and operational targets and provide timely technical updates during incidents.
Participate in major incident management and collaborate with L1, L3/development, DevOps/SRE, infrastructure, database, network, security, and external/vendor teams where required.
Perform Root Cause Analysis (RCA) for recurring or high-severity incidents and identify corrective and preventive actions.
Implement permanent fixes to eliminate recurring incidents rather than relying solely on operational workarounds.
Support incident, problem, and change management processes.
Perform production health checks and proactively identify abnormal application behavior, resource utilization, error rates, latency, failed transactions, and integration failures.
Monitor and troubleshoot asynchronous processing, including Kafka topics/consumers, SQS queues, SNS integrations, dead-letter queues, and failed/retried messages.
Troubleshoot SQL/NoSQL issues including slow queries, connection pool exhaustion, locking, data inconsistencies, replication-related behavior, and database performance.
Support production releases, hotfixes, rollback activities, and post-deployment validation.
Create and maintain runbooks, troubleshooting guides, operational procedures, known-error documentation, and knowledge-base articles.
Improve alerts and dashboards to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
Identify opportunities to automate repetitive support and operational activities.
Participate in an on-call/support rotation where required and provide support for priority incidents outside standard business hours according to the agreed support model.
Conduct knowledge-transfer sessions with L1/support teams to improve first-line resolution capability and reduce unnecessary escalations.
Ensure production incidents and fixes comply with organizational security, audit, change-management, and operational requirements.
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