- Software Engineering competency across languages such as C/C++, awk, Shell scripting, and Python.
- A lexer/parser tool such as ANTLR would be an added advantage.
- Good understanding of IBM Mainframe Copybooks or COBOL.
- Well versed with EBCDIC and ASCII formats and their conversion into one another.
- Software Delivery technical skills such as CI/CD, Automated Deployments, Automated Testing, Build Servers, and Software / Source Code Configuration Management.
- Knowledge of core AWS data services such as S3, RDS, EC2, KMS
- Platform automation tools (DB Management, AWS, Jenkins, GitHub)
- Proven ability to use relevant data analytics approaches and tools to problem-solve and troubleshoot.
- Good written & verbal communication skills
- Apply pro-actively & perform hands-on design and implementation of best practice CI/CD
- Coaching & mentoring of other Service Team members
- Develop/contribute to software verification plans and quality assurance procedures
- Salary packaging
- Work from home
- 8 hour shift
- Monday to Friday
- Annual bonus
- Bonus
- Mainframe development: 4 years (Required)
- AWS: 4 years (Required)
- DevOps: 4 years (Required)
Company
Location
Melbourne - Australia
Job type
Full-Time
Python Job Details
Role- Mainframe Consultant / Data Support Engineer
Location- Melbourne, VIC
Position- Permanent (Full-time)
Must have experience in AWS, DevOps, and Mainframe
Interested candidates can apply on the above job link or call +61 2 9157 5539.
Job Types: Full-time, Permanent
Benefits:
Schedule:
Supplemental pay types:
Experience:
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