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# Java L2 Production Support Engineer - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Jersey City, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $93,600.0 - $104,000.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), Microsoft Windows, Artificial Intelligence, Microsoft Azure, Cloud Computing, Databases, Middleware, Monitoring of Systems, Python (Programming Language), Log Analysis, Microsoft SQL Server, MongoDB, OpenAI, Cloud Services, Azure Data Lake, Runbook, Enterprise Software Applications, Large Language Models, Spring-boot, Fastapi, Containerization, AngularJS, Cosmos DB, Azure AKS, Front End Software Development, VLLM
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/c6eecf2b-f3d6-415a-ad03-bc904904b0fe

## About the Role

Our client is seeking an experienced L2 Production Support Lead to support and stabilize a modern enterprise application ecosystem built on Spring Boot, Java, Angular, Windows, SQL Server, Cosmos DB, Mongo Atlas, Azure Data Lake Services (ADLS), AKS, Python, FastAPI, and LLM serving technologies. The role focuses on incident resolution, production monitoring, root cause analysis, service reliability, and coordination across application, data, and platform teams. The ideal candidate will have strong hands-on experience in production support, incident management, troubleshooting, and stakeholder communication, with exposure to AI/LLM-based services and cloud-native environments., * 6+ years of experience in application support, production support, or L2 support.

 * Strong knowledge of Spring Boot, Java, and Angular.
 * Experience supporting applications on Windows and Azure-based environments.
 * Hands-on experience with SQL Server, Cosmos DB, and Mongo Atlas.
 * Exposure to AKS, containerized applications, and cloud deployments.
 * Working knowledge of Python and FastAPI.
 * Understanding of LLM serving platforms, including vLLM and OpenAI services.
 * Strong incident management, troubleshooting, and RCA skills.
 * Ability to read logs, trace issues, and work with monitoring tools.
 * Strong verbal and written communication skills with effective coordination abilities.
 * Experience working in a 24x7 production support environment is preferred.

Preferred Qualifications:

 * Experience supporting AI/ML or GenAI-enabled applications.
 * Familiarity with Azure services, cloud operations, and platform monitoring.
 * Knowledge of ITIL processes such as incident, problem, and change management.
 * Experience creating SOPs, runbooks, and support documentation.
 * Ability to work under pressure and manage critical incidents effectively.

## Description

* Provide L2 production support for business-critical applications and services.
 * Monitor application health, identify issues, and ensure timely incident resolution within SLA.
 * Perform root cause analysis (RCA) for recurring incidents and drive permanent fixes.
 * Troubleshoot issues across Angular frontend, Spring Boot and Java backend, Python and FastAPI middleware, AKS and Windows infrastructure, SQL Server, Cosmos DB, Mongo Atlas, and ADLS databases, as well as vLLM and OpenAI LLM serving layers.
 * Work closely with development, infrastructure, data, and platform teams to resolve production issues.
 * Support deployment validation, release monitoring, and post-release issue triage.
 * Analyze logs, alerts, and performance metrics to proactively identify risks.
 * Maintain incident documentation, knowledge articles, and operational runbooks.
 * Participate in problem management and contribute to process improvements.
 * Coordinate with business and technical stakeholders on incident status, impact, and resolution timelines.
 * Support high-priority incidents and provide leadership during major production events.