Onlife is seeking a highly skilled and experienced Senior Software Engineer (with an interest in machine learning) to join our talented team and contribute to the development and enhancement of our cutting-edge spatial app. As a Senior Software Engineer, you will play a critical role in designing, coding, and maintaining robust and scalable software solutions using Python and other relevant technologies.

Your key responsibilities will include:

• Design, develop, and implement complex back-end features using Python frameworks (e.g., FastAPI, Flask);
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions;
• Write clean, maintainable, and well-documented code adhering to best practices;
• Conduct code reviews, mentor junior engineers, and foster a collaborative development environment;
• Implement unit tests and participate in integration testing to ensure code quality
• Use Test-Driven-Development (TDD) to assert software capabilities
• Stay up-to-date on the latest advancements in Python libraries and frameworks
• Explore and propose potential applications of Machine Learning within our product landscape (This could involve tasks like data pre-processing, model selection, and evaluation)
• Collaborate with other members of the team to integrate and deploy ML models into production if applicable
• Experiment with new practices and technologies
• Work in compliance with organisational sensible defaults

• Several years experience in software development with a strong focus on Python programming;
• Proven ability to design, develop, and deploy complex and scalable applications;
• Several years experience working in an Agile delivery environment
• Excellent problem-solving and analytical skills
• Experience with version control systems (Git) and continuous integration/continuous delivery (CI/CD) pipelines (a plus)
• Strong communication, collaboration, and teamwork skills
• A demonstrated interest in Machine Learning or a basic understanding of core ML concepts (e.g., supervised learning algorithms, evaluation metrics)
• Experience with web scraping or data analysis libraries (BeautifulSoup, Pandas)
• Open-source project contributions
• Strong understanding of software development principles, design patterns and best practices, 
• Excellent problem solving and analytical skills
• Experience with Deep Learning frameworks (TensorFlow, PyTorch)

Are you ready to be part of an energetic high performing Cyber security team doing work that matters?

We have a great opportunity to join a leading edge team that directly supports our Defence personnel in the field. Our cyber security engineers support the security function for our customer ensuring systems are available, appropriately maintained and secured which ensures the people who put themselves in harm’s way for all of Australia have secure and appropriately hardened systems to support them.

Working within a high performing supportive team this role allows you to utilise your broad experience and make a real difference. Your responsibilities will include

• Provide operational support for a number of Cyber security tools including ongoing tuning and improvements
• Assist with design, deployment and maintenance of cyber security tools;
• Undertake routine patching and configuration tasks; and
• Perform integration and other testing functions.

Smit Lamnalco is seeking expressions of interest from  qualified, experienced and enthusiastic Engineers for our Mackay Towage operations. We are looking for pro-active and diligent crew to join our growing fleet on a permanent basis.

Where appropriate, training will be provided as part of your job

As a Senior Signalling Engineer at Omada, your impact will be in the independent design review function including the verification process and the final sign-off of designs. You will utilise your specialist knowledge in rail signalling to deliver technical guidance to signalling teams to contribute to the successful management and delivery of projects for clients. You may also be responsible for leading a team of designers for medium sized to major projects.

In this role, you will:

• Design, check, and conclude independent verification of high-level signalling documentation inclusive of feasibility studies; technical requirements; SOWs; bonding/cable plans; control tables; power calculations etc
• Design, check, and conclude independent verification of infrastructure assets inclusive of trackside signalling infrastructure; train detection systems; SCADA systems; vital/non-vital interlocking systems etc
• Provide technical advice to clients and project stakeholders and teams on interfacing operational systems
• Produce tender documentation
• Lead a team of designers for medium sized to major projects
• Test, commission and maintain signalling systems and associated supporting systems
• Mentor and guide junior signalling engineers and project engineers

As a Systems Safety Assurance Engineer within the Egis Advisory business, you will be responsible for undertaking activities that will provide a high level of advice to deliver tangible solutions to our clients within the Defence sector.

You will also be responsible for:

• Support a range of projects involving analytical and technical skills in one or more operating areas as directed by the Defence Lead.
• Conduct Independent Safety Assessments as required by the client and/or project.
• Identify improvements and actions required to ensure compliance with Safety Legislation and Safety Management Systems, with advice and support to implement necessary changes.
• Perform Systems Assurance reviews and preparation of compliance demonstration arguments using Goal Structured Notation.
• Prepare and develop Safety Assurance Reports and related documents.
• Produce high quality documents deliverables within short time frames such as hazard analysis and hazard logs.
• Assist and support preparation of proposals as required

About this opportunity

As Reliability Engineer, you will be responsible for improving the reliability and performance of the NSW manufacturing operations, systems, equipment, and processes, (initial focus on the Horsley Park site), with the objective of improving the Overall Equipment Effectiveness (OEE) of the operations. The role involves analysing operational performance, identifying potential improvements in throughput, machine availability, machine efficiency, yield, as well as identifying potential failure modes, and implementing solutions to prevent these failures.

Your key responsibilities will be to:

Design and implement planned, preventive, predictive and proactive maintenance program

Optimize maintenance schedules based on reliability data.

Utilize LEAN, TPM and or RCM methodologies as well as condition monitoring tools and techniques to improve machine reliability and OEE

Identify and implement opportunities for continuous improvement in equipment reliability and performance

Work with cross-functional teams to develop and implement reliability improvement projects.

Promote a culture of continuous improvement within the organization.

Support and promote a learning organisation to solve problems and improve the operations 

Collect and analyze data on equipment performance and failures.

Use statistical analysis to identify trends and areas for improvement

Conduct root cause analysis of equipment failures.

Implement corrective actions to prevent recurrence.

Develop and maintain a database of failure modes and corrective actions

Assist in the development and training of maintenance personnel.

Recommend design changes or modifications to improve reliability and maintainability.

Leadership – provide structure and direction on KPI’s relevant to a proactive maintenance function through Continuous Improvement. CMMS and Lean principles

Assess risks associated with equipment and process failures.

Develop and implement risk mitigation strategies.

Ensure all reliability and maintenance activities comply with industry standards and regulatory requirements.

Maintain accurate documentation of maintenance and reliability activities

Develop and update reliability and maintenance procedures.

Management of site legislative compliance, e.g. fire systems, EPA, DG

Your skills and experience

To be successful in this role, you’ll have:

• An Engineering and Maintenance Leadership background in a high-speed contract manufacturing environment
• Proven design and implementation of Continuous Improvement projects with a high-speed manufacturing environment with Lean or TPM manufacturing principles
• Proven Leadership experience of both staff, contractors, and suppliers
• Strong analytical and problem-solving skills.
• Proficiency in statistical analysis and reliability modelling.
• Knowledge of Reliability Centred Maintenance (RCM),  preventive and predictive maintenance techniques.
• Excellent communication and interpersonal skills.
• Proficiency in relevant software applications (e.g., reliability analysis software, CMMS).