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Software Engineer

Expired
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Our Other Company
Geelong, VIC
Full Time
$80,000 - $100,000 per yr

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Posted 5 months ago
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Job description

Our client, located in Geelong, Victoria, is passionate about building innovative solutions that bridge the gap between technology and real-world impact. As a fast-growing tech-driven organisation, they specialise in developing intelligent systems and data-powered applications that drive smarter decision-making across industries. Their team thrives on collaboration, creativity, and continuous learning, pushing the boundaries of what is possible with software, DevOps, and data science.

The organisation is currently seeking a talented Software Engineer with a strong background in DevOps and Data Science to join their growing team. The successful candidate will work on cutting-edge applications, integrating intelligent systems and analytics into real-world solutions.

The annual salary for the position is $80,000 to $100,000 plus superannuation.

Responsibilities include:

• Design, develop, and maintain robust software applications integrating data science models.

• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

• Build and deploy scalable machine learning models, data pipelines, and analytics tools.

• Optimise system performance and reliability for enterprise-grade environments.

• Conduct thorough code reviews, write unit tests, and maintain documentation.

• Keep up-to-date with emerging technologies in DevOps, cloud infrastructure, and data science.

• Troubleshoot issues and ensure minimal downtime for critical applications.

Qualifications:

• Should hold a Diploma, Bachelor’s, or Master’s degree with a focus in Computer Science or a relevant field.

• Must have a minimum of two (2) years of experience in software engineering (Australian experience preferred).

• Must possess strong programming skills in Python, Java, or similar languages.

• Proficient in SQL/NoSQL databases and data modelling.

• Experience with DevOps tools and cloud platforms (AWS, Azure, or GCP).

• Knowledge of Docker, Kubernetes, and container orchestration.

• Excellent problem-solving, communication, and teamwork skills.