Mainframe jobs in VIC
• The average pay for Mainframe jobs in VIC is $116K per year.
• Entry-level positions start at $50K per year, while the most experienced workers can earn up to $256K per year.
• 6 companies are currently advertising Mainframe jobs in VIC including DXC Technology, Aurec, Onset Group, Suncorp Group and GPC Asia Pacific.
• Top skills include MAINFRAME, SCRIPTING, BUSINESS REQUIREMENTS, TIME MANAGEMENT and MICROSOFT OFFICE.
• Entry-level positions start at $50K per year, while the most experienced workers can earn up to $256K per year.
• 6 companies are currently advertising Mainframe jobs in VIC including DXC Technology, Aurec, Onset Group, Suncorp Group and GPC Asia Pacific.
• Top skills include MAINFRAME, SCRIPTING, BUSINESS REQUIREMENTS, TIME MANAGEMENT and MICROSOFT OFFICE.
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Expiring today
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Provide technical leadership across the mainframe estate.
- Lead design and optimisation of batch and online transaction processing systems.
- Mentor developers and drive best-practice engineering standards.
Expiring today
Full time
·
Permanent
Similar jobs pay
~$90k - $120k
Pay information not disclosed by advertiser
Key points we found
- Join a team supporting a major Australian banking client as a Test Analyst.
- Design and execute comprehensive test cases for core banking modules.
- Collaborate with stakeholders to ensure alignment and manage test data.
Expiring today
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
Pay information not disclosed by advertiser
Key points we found
- Transform legacy mainframe environments into modern, cloud-native architectures.
- Design scalable, secure, and cost-effective solutions on leading cloud platforms.
- Act as a trusted advisor to enterprise customers on modernization strategies.
Expiring today
Full time
·
Permanent
Similar jobs pay
~$130k - $293k
Pay information not disclosed by advertiser
Key points we found
- Manage and classify test data according to various data classifications.
- Utilise data masking tools and cloud platforms for effective data management.
- Collaborate with stakeholders to identify data needs and deliver solutions.