RASSURE is a technology company based in Sydney,
Australia, aiming to become the global leader in assisting airlines to protect
their revenue. Our proprietary technology pioneers the use of big data and
extensive data analytics to solve complex industry problems.
Join a team where your ideas take flight. We are a diverse group of thinkers and
problem-solvers who help each other work smarter. If you like opportunities to
shape how we scale and value impact and collaboration, you will fit right in.
The Role:
As a Junior Software Engineer, you will be responsible for building, enhancing, and
maintaining automated revenue auditing systems used to detect revenue leakage
for airlines. A critical aspect of this role involves translating airline
industry rules into scalable system logic.
Your key responsibilities will include:
- Breaking down complex problems into clear, solvable pieces and implementing
solutions end-to-end.
- Investigating audit findings, debugging issues, and driving fixes through to production.
- Writing clean, maintainable, and optimised code to ensure efficient system performance.
- Collaborating with interdependent teams to ensure smooth project delivery.
- Demonstrating a proactive, ownership-driven mindset by independently driving tasks to completion.
Expectations We are looking for resourceful team members who can navigate a scaling environment. If you are excited by the opportunity to influence how things work and learn quickly, you will fit right in.
Working at RASSURE means you will be:
- Navigating a scaling startup environment.
- Handling ambiguity and evolving priorities.
- Collaborating across time zones.
- Working in a self-driven, proactive way.
- Contributing to high-impact project milestones.
Core Competencies & Qualifications
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Experience: Minimum 1-2 years of commercial experience in software engineering and/or data engineering.
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Education: Tertiary qualification in Computer Science
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Problem Solving: Excellent problem-solving skills with a structured approach to tackling complex systems.
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Communication: Clear and effective communication skills to engage with cross-functional teams and stakeholders.
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Attention to Detail: A strong focus on accuracy and care for real business impact.
Technical Skills
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Data & Database: Strong SQL skills and experience working with large, complex datasets.
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Programming: Proficient in Python for automation and data processing.
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Spreadsheets: Experience with or willingness to work with Excel workbooks, including implementing and maintaining code/logic embedded in spreadsheets.
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Version Control: Experience with Git or similar version control systems.
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Cloud: Familiarity with cloud platforms.
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Documentation: Ability to read and interpret complex technical documentation and translate it into code.
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Preferred: Experience or exposure to AI-related technologies.
