We are looking for an L2 Application Support Engineer to manage, troubleshoot, and maintain our containerised microservices, public web portals, and core integrated systems. You will handle intermediate technical incidents escalated from L1, performing runtime debugging, log analysis, and system optimization across our technical ecosystem. This includes specific application support for database reporting , middleware integration.
Key Responsibilities
Incident Resolution: Respond to and resolve L2 tickets for web portals, public services, and microservices ecosystems within agreed SLA timelines.
Microservices Monitoring: Track container health, pod statuses, and service meshes using APM monitoring tools.
System Diagnostics: Perform root cause analysis by reading application exceptions, tracing API payloads, and inspecting infrastructure metrics.
Database Operations: Run advanced database queries, examine performance diagnostics, and troubleshoot data transaction issues.
Integration Support: Maintain and debug system interfaces, secure connections, and external portal components.
Component-Specific Duties
Monitor database activity reports, evaluate system health outputs, and troubleshoot script execution issues or diagnostic generation failures within the EnterpriseDB / Oracle environment.
Smart Connect (Middleware): Diagnose messaging queue backlogs, webhook connectivity errors, data mapping discrepancies, and point-to-point enterprise integration pipeline failures.
Websites & Public Front-Ends: Resolve Content Delivery Network (CDN) caching errors, SSL/TLS certificate drops, cross-origin resource sharing (CORS) exceptions, and web server crashes (Nginx/Apache).
Microservices Architecture: Track and debug distributed backend architectures, troubleshoot REST/gRPC routing errors, manage Docker container restarts, and resolve database connection pool constraints.
YOUR PROFILE
Required Technical Skills
Containers & Cloud: Practical experience working with Docker containers and Kubernetes environments (Pod health checks, log gathering, Kube events).
Database Systems: Proficient in SQL (PostgreSQL / Oracle EDB) with an understanding of query tuning and performance indexing.
Log Management: Hands-on expertise using centralized logging suites (e.g., Splunk, ELK Stack, Grafana) to extract stack traces.
APIs & Protocols: Advanced knowledge of RESTful APIs, JSON objects, HTTP status codes, and network protocols (TCP/IP, DNS).
CI/CD Awareness: Basic understanding of DevOps deployment workflows (Jenkins, GitHub Actions, or GitLab CI) to assist with environment status validation.
Qualifications & Experience
Education: Bachelor’s degree in Computer Science, Systems Engineering, or equivalent IT experience.
Experience: 3 to 6 years of technical application support experience focusing heavily on web platforms and containerised microservices.
Methodology: Familiarity with the ITIL framework for Incident and Problem management
Strong communication and stakeholder management
Proactive mindset with strong problem-solving abilities
Willingness to work in 24 X 7 shifts and provide on-call support as required, including weekends or holidays based on rotation and business need
Experience working in a managed service or global delivery model
Application Support, L2 Application Support, Production Support, Incident Management, Problem Management, Root Cause Analysis, Microservices, Docker, Kubernetes, Containerized Applications, Pod Health Checks, Log Analysis, Application Monitoring, Splunk, ELK Stack, Grafana, SQL, PostgreSQL, Oracle EDB, Query Tuning, Performance Indexing, REST APIs, JSON, HTTP Protocols, TCP/IP, DNS, Middleware Support, Integration Support, Web Services, Smart Connect, Message Queues, Webhook Troubleshooting, Data Mapping, Enterprise Integration, CDN, SSL/TLS, CORS, Nginx, Apache, Distributed Systems, gRPC, Database Connection Pooling, CI/CD, Jenkins, GitHub Actions, GitLab CI, DevOps, ITIL, Service Management, Web Platform Support, Cloud Technologies, System Diagnostics, Stakeholder Management, Troubleshooting, On-Call Support, Managed Services, Global Delivery Model, Technical Support, Performance Monitoring, Infrastructure Monitoring, Enterprise Applications, Communication Skills, Problem Solving, Documentation, SLA Management