Application Support Engineer (Banking Solutions - Remote)

Kelola
Daerah Khusus Ibukota Jakarta
Remote
IDR 200,000,000 - 300,000,000
Job description

Hello jobseekers! One of our clients based in Australia is looking for a Application Support Engineer to join their team to help tackle their various banking projects.

FOR INDONESIAN CITIZEN ONLY

About the Client:
Our client was founded in 2017 and is based in Melbourne Australia with the aim of helping banks, fintechs and other regulated entities manage their regulatory compliance with their single API and dashboard, which connects to hundreds of global identity and fraud-monitoring providers across the world. They also make it easier for our clients to scale and onboard customers by providing a better and more cost-effective user experience, whilst also potentially saving them millions of dollars in regulatory fines and protecting their customers from fraud.

Requirements :

  1. Have minimal 2 years of experience working as a software engineer, systems administrator, or tester.
  2. Worked with logging/monitoring tools like AWS Cloudwatch, Datadog, ELK stacks, or similar to really drill into issues.
  3. Confidence working in a Linux environment using the command line to manage your day-to-day.
  4. Been able to query databases to dig further into data. Exposure to traditional relational SQL and NoSQL databases will be a definite plus.
  5. Some scripting skills that will allow you to automate investigations as you go.
  6. Able to join ASAP

Job Descriptions :

  1. Investigate and resolve application issues reported by users.
  2. Utilize logging/monitoring tools like AWS Cloudwatch, Datadog, and ELK stacks to drill into and identify issues.
  3. Perform root cause analysis and implement fixes to prevent recurrence.
  4. Continuously monitor application performance and system health.
  5. Proactively identify and address potential issues before they impact users.
  6. Maintain and enhance monitoring and alerting systems.
  7. Query databases (both SQL and NoSQL) to gather data necessary for issue resolution.
  8. Analyze database logs and performance metrics to identify and resolve bottlenecks.
  9. Develop and maintain scripts to automate routine investigations and troubleshooting processes.
  10. Create tools to enhance support efficiency and reduce manual work.
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