Application Support Engineer Level 2

Talentmate

Posted 30+ days ago

Experience

3 - 5 Years

Education

Bachelor of Technology/Engineering

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

We're looking for a Level 2 Application Support Engineer to join our dynamic Product Development team in DIFC. If you thrive in a fast-paced fintech or SaaS environment and have a solid grip on logs, SQL, and troubleshooting, this could be your next big opportunity.


Key Responsibilities:

Technical Issue Management

  • Accurately investigate and analyze reported incidents using application/server logs and database queries.
  • Open detailed internal tickets for engineering teams with root cause analysis where possible.
  • Monitor issue resolution status and ensure follow-up communication with stakeholders.


Fraud & Chargeback Support

  • Monitor chargeback and fraud case queues.
  • Coordinate with relevant teams to investigate and respond to fraud-related incidents.
  • Contribute to the development of fraud prevention rules using business logic and available datasets.


Data Analysis & Reporting

  • Generate reports from transactional data to support fraud prevention and customer experience initiatives.
  • Analyze behavioral patterns using historical data.
  • Support BI/dashboard creation in coordination with analytics teams.


Cross-functional Collaboration

  • Act as the bridge between customer-facing and technical teams.
  • Maintain structured documentation for all resolved issues.
  • Participate in system enhancement discussions based on support feedback.


Required Skills and Qualifications:

Bachelor s Degree in Computer Science, Engineering, or a related technical field.

3+ years of relevant experience in L2 technical support for fintech, SaaS, or digital platforms.

Proficient in reading and writing complex SQL queries.

Solid experience in reviewing application/server logs.

Familiarity with cloud infrastructure Azure, etc.) and basic monitoring tools.

Exposure to fraud/dispute management workflows is a plus.

Understanding of basic scripting or any programming language is a plus.

Experience or interest in AI/ML technologies is preferred.

Experience with BI tools (e.g., Tableau, Power BI).

Analytical and detail-oriented mindset

Strong communication and documentation skills

Accountability and dependability

Team collaboration and cross-functional coordination

Problem-solving under pressure

Adaptability & Flexibility

Attention to detail and quality Focus

Continuous learning & improvement attitude


Tools & Technologies

  • SQL, Python, Excel
  • Jira, Confluence
  • Power BI

Department / Functional Area

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