Technical Lead-App Development

Area(s) of responsibility

Key Responsibilities

Backend Engineering

• Design, develop, and maintain backend services using Java (8+), Spring Boot, and microservices architecture.
• Build scalable RESTful APIs and backend components with strong emphasis on performance and security.
• Improve service reliability through better error handling, resiliency patterns, and design best practices.
• Contribute to architecture discussions, technical design, and code reviews.
  
  

• Implement and maintain application observability using Splunk (dashboards, alerts, log analysis, correlation searches).
• Optimize log ingestion pipelines and ensure consistent logging standards (structured logs, correlation IDs, trace IDs).
• Monitor application health, performance metrics, latency, errors, and resource utilization.
• Troubleshoot production issues by analyzing logs, SPL queries, and monitoring data.
• Identify and resolve reliability bottlenecks and proactively improve system stability.
  
  

• Develop actionable Splunk dashboards for service KPIs, throughput, latency, and error rates.
• Set up real-time alerts to detect anomalies, failures, or degradation in service behavior.
• Tune SPL queries to improve performance and reduce compute cost.
• Work with DevOps/SRE teams to strengthen monitoring, alerting, and incident response.
  
  

• Work closely with SRE, DevOps, QA, Cloud, and Product Engineering teams.
• Contribute to on-call readiness, root cause analysis (RCA), and reliability improvement plans.
• Promote logging best practices and observability standards across engineering teams.
• Participate in CI/CD pipeline improvements and automation efforts.
  
  

• Strong experience with Java (8 or above), Spring Boot, and REST API development.
• Solid understanding of microservices, multi-threading, and design patterns.
• Hands-on expertise with Splunk:
• SPL queries
• Dashboards (Classic or Dashboard Studio)
• Alerts and reports
• Field extractions & log parsing
• Deep knowledge of logging frameworks (Log4j2, SLF4J, Logback).
• Experience with JSON logging, structured logs, and correlation identifiers.
• Familiarity with CI/CD pipelines, Git, Maven/Gradle.
• Strong debugging and production troubleshooting skills using logs and monitoring tools.
• experience with Kubernetes, Docker, or cloud-native applications.
• Knowledge of observability tools like ELK, OpenTelemetry, Grafana, Prometheus.
• Understanding of SRE concepts: SLIs, SLOs, SLAs, error budgets.
• Familiarity with message brokers (Kafka, RabbitMQ).
• Experience with Splunk configuration-as-code or automation via REST APIs