L2 Application Support Engineer

4 нед. назад

BrazilLATAMMiddleOnsite

javacetlshell script

Responsible for analyzing and resolving application issues, managing incidents, and improving application stability and performance.

Computer Science concept of Data Structures in practical use cases.
Problem solving in a development or production environment, including experience observing patterns, analyzing root cause and suggesting ideas to resolve issues.
Good unix trouble shooting skills.
Good understanding of ETL / batch processes and capacity management.
Good communication skills with ability to articulate the technical and functional aspects of a development/production problem to help drive solutions.
One of the following Structured or Object Oriented programming languages: Java, C, C++, VB, .NET, ASP or Angular etc.
One of the following Scripting languages: Shell script, Perl, JavaScript or Python etc.
One of the following RDBMS environments: Sybase ASE/IQ, Oracle or DB2.

Experience in the Financial Service Industry.
Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud.
Degree in Computer Science.
Posted On:  22-07-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Job Title: L2 Application Support Engineer Key Skills:  Java, C, ETL, Shell script. Location:  São Paulo Mode:  In-person We at  Coforge  are hiring  L2 Application Support Engineer  with the following skill set. Key Responsibilities
Work actively with team members to analyze and resolve application issues.
Identify defects, discrepancies, and trends by ways of code debugging or log analysis.
Manage incidents and effectively communicate with users, application owners and senior stakeholders across all areas.
Improve application stability and performance by observing patterns, recurring failures and/or issues, and advise application owners on permanent fixes accordingly.
Automate failures using machine learning techniques and notify discrepancies in the health of production and automation of health-restoration, with a focus on continuous measurement of risk and cost.
Identify alerts/processes that can be automated.
Challenge existing application setup, processing and suggest different ways to solve problem or improve stability.
Actively participate in Change management process with view to manage risk in production environment.
Build and improve run books for generalists to minimize operational errors and gain fungibility/efficiency.
Develop reports that provide trending statistics to track and manage application health and support service performance.
Willing to learn and troubleshoot/support proprietary technologies not available through market place.