Java Production Support Engineer (L2/L3) - Remote (Fulltime)

The Dignify Solutions LLC
Jersey City, NJ, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis JIRA Cloud Computing Software Debugging Monitoring of Systems Identity and Access Management Microsoft SQL Server
+16 more
Object-Oriented Software Development Oracle (Applications) Performance Tuning Newrelic SQL Stored Procedures Multithreading Freeform SQL Java Application Server System Availability Spring-boot Cloudwatch Restful APIs Heap (Data Structure) Splunk Servicenow Microservices

Job description

  • Production Support & Troubleshooting: Provide end-to-end support for Java applications Spring boot, identifying root causes of technical glitches and implementing permanent fixes.
  • Incident Management: Lead the resolution of P1 (Critical) and P2 (High) incidents within defined SLAs. Coordinate with stakeholders and provide regular status updates during outages.
  • Database Management: Write and optimize complex SQL queries, perform data fixes, and troubleshoot performance issues in Oracle and MSSQL u environments.
  • Cloud & Infrastructure: Monitor and manage application health on AWS, utilizing cloud-native monitoring tools to ensure high availability.
  • API & Microservices Support: Troubleshoot RESTful APIs and Microservices architectures, analyzing logs and traces to identify connectivity or logic failures.

Requirements

  • Strong command of Core Java and Spring Boot (Collections, Multithreading, Exception Handling, and OOPS concepts).
  • Hands-on experience in debugging Java code and analyzing thread/heap dumps.
  • Understanding of Microservices architecture and RESTful APIs.
  • Proficiency in Oracle and MS SQL Server. Ability to write stored procedures, triggers, and perform complex joins for data analysis.
  • Practical knowledge of AWS services (EC2, S3, CloudWatch, IAM, or Lambda).
  • Expertise in using Ticketing Tools such as Jira, ServiceNow)
  • Familiarity with monitoring tools (e.g., Splunk, NewRelic).
  • Prior experience handling L2/L3 support in a high-pressure environment.
  • Knowledge of ITIL frameworks (Incident, Problem, and Change Management).

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