Software Tester/Developer

Blunomy; Sydney; Ibrido; AUD 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working environment

Company bonus scheme

Office in Sydney or Melbourne

Weekly team lunch/breakfast

Employee Assistance Program

Descrizione del lavoro

Blunomy is seeking a Software Tester/Developer to work in a hybrid role, balancing 40% testing and 60% development. You will strengthen the quality and reliability of forecasting software, including client-facing React interfaces, in a small, flexible team.

The role covers data solutions, software development, project support, and collaboration with managers and clients, with opportunities to influence proposals and practice.

Competenze

• Completed a degree or postgraduate qualification in Computing Science, Statistics, Mathematics or Engineering.
• Experience applying statistical and ML concepts in practice.
• Familiarity with data analytics and energy/environment datasets.
• Knowledge of cloud computing is a plus.

Mansioni

• Deliver data solutions and software that strengthen forecasting capabilities.
• Build scalable data pipelines and APIs; support dashboards for impact measurement.
• Participate in code reviews, diagnose issues, and practice source control with Git.
• Collaborate with product managers and domain experts to deliver high-quality solutions.

Conoscenze

Analytical thinking

English fluency

Communication

Problem solving

Team collaboration

Formazione

Computing Science

Statistics

Mathematics

Engineering

Strumenti

Git

Python

R

Azure/AWS/GCP

Spark/Dask

Descrizione del lavoro

The Software Tester/Developer will work in a hybrid role with an approximate 40% allocation to Testing and 60% to Development. The focus will be strengthening the quality and reliability of our forecasting software, including the client-facing React interfaces.

At Blunomy we are a small team that is flexible and enjoys the diversity of their role and the range of projects that they support. The breadth of the role includes:

1. Delivering Data solutions

• Participate in code reviews, ensuring code quality and identifying areas for improvement
• Diagnose and debug any identified issues
• Work within a coding team to build code, modify code, commit code to source control through pull request
• Apply statistical and analytical techniques to extract insights from energy and environmental datasets
• Use a range of AI tools to support and challenge better data solutions, not as a substitute for the required knowledge and expertise.
• Participate in client meetings related to projects, and in the client relationship follow‑up.
• Liaise with the client to keep them informed of progress and to make relevant decisions, supervised by managers or principals.
• Assist manager or a principal to inform commercial proposal methodologies

2. Software Development & Tools

• Support development of digital solutions and dashboards that measure impact and transition progress.
• Build scalable and reliable data pipelines and APIs to support our software products
• Support the development of robust data pipelines and ensure data integrity and re‑producibility.
• Improve the maintainability and consistency of the codebase through refactoring and the adoption of software engineering best practices
• Use software engineering principles to write clean, efficient, and scalable code.
• Collaborate on tool development used in production environments (e.g., PV connection approval tool, low-voltage network mapping)

3. Project Support

• Work collaboratively under the supervision managers to deliver work packages on time and to standard.
• Assist in documenting methods, results, and datasets for internal and client use.
• Contribute to testing, quality assurance, and version control (e.g., Git)
• Participate in actions/projects to assist the company in achieving greater efficiency, supervised by a manager or a principal.

4. Collaboration & Communication

• Work within a coding team to build code, modify code, commit code and proac‑tively share knowledge with the team
• Actively participate in project discussions, reviews, and learning sharing sessions.
• Collaborate with product managers, project managers, and domain experts to de‑liver high-quality solutions on time.
• Communicate clearly with both technical and non-technical audiences.
• Participate in presenting findings and recommendations to clients, under the super‑vision of managers or principals.
• Demonstrate the required Blunomy professional behaviours and values

To join the Blunomy team in this role we are looking for someone who would enjoy working with energy information and problems and can demonstrated they have the following:

• Completed a degree or a postgraduate qualification in a relevant discipline such Computing Science, Statistics, Mathematics or Engineering
• Passion for energy, environment and/or sustainable development
• Strong interest in data analytics
• Knowledge of statistical and machine learning concepts and algorithms
• Experience with the data science tool kit:Python or R
• Source control (such as Git)
• Software engineering and app development skills
• Knowledge of cloud computing (such as Azure, GCP, AWS) is a plus
• Parallel computing (such as Spark or Dask) is a plus
• Developer tool kit:
• Good oral and written communication
• An ability to work to project timelines
• Strong analytical and problem-solving skills
• Ability to use a range of AI tools to assist and enhance the quality and efficiency of your work
• Ability to work collaboratively in a fast-paced, project-based environment.
• Fluent in English

Why work for Blunomy?

You will be joining a passionate group of professionals, aligned in our mission. At Blunomy you are more than a ‘cog in the machine’, you will have the ability to make a real and lasting impact across the business. We are focused on finding the right people to journey with us, and to those who do, we offer:

• Working with a team who have diverse skills, expertise and are purpose driven
• Competitive remuneration
• Ability to participate in the company bonus scheme
• Hybrid working environment and offices based in either Melbourne or Sydney
• Ability to be part of a global team sharing knowledge and expertise
• Ongoing learning and development opportunities
• Weekly team lunch/breakfast
• Access to our Employee Assistance Program to support your well being
• Salary: Depending on experience
• Employment Type: Full time starting ASAP