SymphonyAI - Application Support Engineer in Bangalore, भारत

About the job : Key Responsibilities : - Act as the primary support contact for customer-reported application issues and resolve incidents within agreed SLAs.- Troubleshoot functional, technical, configuration, deployment, batch, database, and integration issues.- Support NetReveal modules including EIM, WLM, AML, CDD, AUSTRAC, Payment Fraud, and Swift.- Investigate application logs, batch failures, database records, configurations, and monitoring alerts to identify root cause.- Support product deployments, upgrades, patches, hotfixes, and release validation.- Manage and troubleshoot batch orchestration, job failures, reruns, dependencies, and recovery activities.- Develop, review, and troubleshoot XML/YAML configuration files.- Use Linux/Unix, SQL, Oracle, and PostgreSQL for application investigation and operational support.- Collaborate and partner with engineering, DevOps, QA, product, and specialist teams for issue resolution.- Use monitoring tools such as AWS CloudWatch and Datadog to identify and respond to service degradation.- Maintain support documentation, troubleshooting guides, blameless RCA notes, known issues, and workarounds.- Communicate status, resolution plans, and technical guidance clearly to customers and internal stakeholders.Must-Have Skills & Experience : - Experience in application support, production support, or technical customer support for enterprise software.- Working knowledge of financial crime, AML, KYC, sanctions screening, fraud detection, or compliance applications.- Hands-on or working experience with NetReveal modules.- Strong Linux/Unix command-line skills.- Good SQL skills with experience in Oracle and PostgreSQL.- Experience with batch orchestration, job monitoring, failure analysis, and reruns.- Experience supporting product deployments, patches, upgrades, and configuration changes.- Experience with Java-based applications and log-based troubleshooting.- Familiarity with REST APIs, SAML, SSO, and integration troubleshooting.- Experience with Git, GitHub Actions, and Bitbucket.- Experience using monitoring tools such as AWS CloudWatch and Datadog.- Use AI-assisted tools (e.g., Claude, Cursor, GitHub, Copilot) to accelerate log analysis, root cause identification, and documentation drafting.- Automation first attitude - Reduce manual repetitive tasks, self-service and autonomous incident handling.- Good communication skills and ability to manage multiple customer issues in an SLA-driven environment.Nice-to-Have Skills : - Knowledge of Kubernetes, Helm charts, and containerized deployments.- Understanding of DevOps, CI/CD, and cloud automation practices.- Knowledge of XML, YAML, and configuration-driven applications.- Familiarity with Grafana, PagerDuty, Prometheus or ELK.- Basic understanding of AI/ML-based fraud or compliance solutions.- Basic knowledge of Python for scripting, automation, or support activities. (ref:hirist.tech)