Total 1,108 qa engineer job vacancies in Information Technology category in Australia

About us: 

Established in 2007, CDC Data Centres is Australia’s leading operator of sovereign, secure, world-class data centre facilities.

Headquartered in Canberra with multiple facilities in the ACT, NSW and New Zealand, CDC’s diversified operations provide secure data centre configurations that support co-location, containerised and hyperscale compute environments with all campuses interconnected with high-speed carrier grade networks.

At CDC we are passionate about creating an inclusive workplace that promotes and values diversity. We believe that everyone’s unique experiences enable us to deliver meaningful benefits for our people, our clients and communities. Our mission is to attract, retain and grow the world’s best data centre team.

Our people are responsive, innovative and trusted in supporting our customers. Together, we configure the landscape to meet the security, reliability, connectivity and sustainability needs for today and tomorrow.

About the role:

We are looking for a Technical Solutions Engineer to provide thought leadership, planning, management, and technical design development for our customer’s and support their migration to/growth within CDC’s Data Centre Facilities. The incumbent will be a Data Centre Engineering SME and will be deployed across the business in technical discovery, customer response preparation and major change consultation.

Key responsibilities include:

•      Work with internal teams to respond to requests from customers and to respond in bid scenarios.

•      Liaise directly with customer technical teams in support of the Head of Engineering Innovation.

•      Assist with hyperscale pre-sales opportunities as required.

•      Provide advice and support to stakeholders and cross functional teams throughout the sales lifecycle.

•      Prepare data centre engineering briefing infromation to ensure alignment between key customer and or CDC Business requirements and project deliverables.

•      Collaborate with the CDC Engineering Delivery Design team to customise and configure design to meet customer specific needs.

•      Participate in the data centre engineering Concept Design phase to ensure alignment between key customer requirements and project deliverables.

•      Manage the development of key customer sales collateral.

•      Gather and relay customer feedback to appropriate parities.

•      Articulate, capture and escalate risk to the Head of Engineering Innovation. 

•      Contribute to CDC Engineering strategy regarding innovation and Data Centre Engineering best practice. 

•      Continually seek out opportunities for innovation for both CDC and its customers.

•      Grow internal networks and provide opportunities to share knowledge and improve performance.

•      Development and management of relationships alongside our Sales teams to identify, coordinate, and win business.

•      Act in an ambassadorial capacity for the company.

•      Attend and contribute to appropriate team and stakeholder meetings and committees as required and relevant to ensure excellent stakeholder engagement and communication.

•      Function as part of a team that occasionally requires work to be completed outside of normal business hours.

•      Embrace and model CDC’s DNA and Leadership Fundamentals and mentor and impart knowledge to junior staff.

•      Provide cultural and operational team leadership.

•      Other duties as directed from time to time.

About you:  

•      5+ years’ relevant experience in Data Centre Engineering Design with a degree qualification in Mechanical or Electrical Engineering with 10+ years total engineering experience

•      Technical solutions experience in Data Centre engineering or critical infrastructure environments.

•      Strong experience in designing and implementing hyperscale data centre engineering developments and customer deployment solutions. 

•      Experience in optimizing and evaluating data centre engineering design for time and cost efficiency.

•      Strong understanding of Data Centre Engineering principles and industry standard design architectures.  

•      Demonstrable track record in pre-sales or post sales.

Essential:

• Australian Citizenship and the ability to obtain and maintain AGSVA Security Clearance at Negative Vetting 1 level.

How to Apply:

If you are looking to own your career and take on a new challenge in a fast-growing Australian Technology company and be part of our amazing team, please submit your resume and cover letter by clicking Apply.

At LifeByte, we are a dynamic and innovative collective of tech visionaries driven by a relentless pursuit of excellence. Each of us brings a unique set of skills to the table, collaborating on projects that shape the future.

Founded in 2017, we are dedicated to fostering an ecosystem of seamless resource exchange, where efficiency and precision are paramount. With cutting-edge solutions, we empower businesses to thrive and individuals to unlock their full potential. Committed to high-tech innovation, we are actively reshaping the future, one Byte at a Time.

We are looking for a highly skilled Data Engineer to help build and optimise the company's data infrastructure. This position will work closely with data scientists, analysts and business teams to improve the efficiency of the company's data processing and decision making by building efficient data pipelines and storage solutions.

Job Responsibilities:

• Design, build, install, test and maintain scalable data management systems, ensuring that the system meets business requirements and industry standards.
• Integrate emerging data management and software engineering technologies into existing data structures, ensuring compliance with data management and security policies.
• Monitor performance and data accuracy of data processing systems.
• Maintains Cl/CD systems and code base.
• Establishes and operates to maintain high quality standards and maintains cloud architecture systems across accounts.
• Mentor and guide junior data engineers.
• Adopt new technologies while leveraging your accumulated expertise in modern big data tools and cloud services.

• Bachelor's degree or above in Computer Science, Engineering or a related field, English can be used as a working language.
• At least 1 years of relevant experience in data engineering with project experience in designing and implementing complex data solutions.
• Proficiency in Python and experience in developing robust, maintainable, and scalable data processing pipelines.
• Experience with CI/CD systems, automated workflows, and integrating data quality checks into deployment processes.
• Strong experience with cloud services (preferably AWS), including the use of AWS data services and knowledge of Snowflake as a data warehouse solution.
• Expertise in working with all forms of data infrastructure and adept at managing streaming and batch data systems.
• Solid understanding of data modelling, ETL (Extract, Transform, Load) processes and data warehousing principles with a commitment to improving data quality and accuracy.

• Celebrate your tenure with us! Receive generous milestone anniversary gifts that grow with each year of service.
• Join a vibrant workplace culture with fantastic team-building activities, fostering camaraderie and collaboration among colleagues.
• Prioritize your well-being! Access our Flexible Spending Account (FSA) for various health and wellness needs.
• Welcome your newest family member with a special gift!
• Hybrid working arrangement

What you get to do in this role:   

The Support Engineer is part of a global organization entrusted as a technical resource to guide our customers during critical issues to ensure a timely and effective case resolution. In support engineering, the customer and their positive experience is paramount and central to our daily efforts. ServiceNow support engineering is integral to the success of our customers, as well as for the health of ServiceNow.

In this role, the support engineer will resolve technical cases created by customers looking for help to understand or troubleshoot unexpected behaviors or to answer technical questions about the ServiceNow software and platform.

A successful candidate will be committed to providing amazing customer support experiences, using skills that include building trust, showing empathy and excellent communication to answer customer questions and resolve issues through various technologies including web, chat, email, case updates, as well as direct telephone support.

Understanding the ServiceNow platform and all core functionalities will be essential while employing various diagnostic tools to isolate the potential cause of the issue. The engineer is expected to diligently manage and resolve challenging issues assigned to them but may need to coordinate assistance from additional teams for more complex cases. As such, creative problem solving, a collaborative nature and flexibility will be key to your success.

Lastly, support engineers also play a key role in providing input across business units regarding process and product improvements due to their unique perspective when working on technical issues for customers.

• Collaboration:
  • Work closely with a cross-functional agile team to deliver high-quality data solutions.
  • Work closely with data analysts, data scientists, and other stakeholders to understand business requirements and translate them into technical solutions.
• Data Engineering
  • Data pipeline development, maintenance and engineering support with modern data stack in a rapid, agile development practices
  • Cloud data warehouse – development, testing and production deployments ; Snowflake SQL and administration (mandatory), dbt (mandatory), Airflow (mandatory), Terraform (desirable), python (mandatory), Fivetran (desirable), Databricks (desirable), Postgres (desirable), AWS fundamentals (mandatory), Buildkite (or equivalent CI/CD platform) fundamentals (mandatory), PowerBI fundamentals (desirable)
• Performance Optimization:
  • Optimize data pipelines, build pipelines & BI solutions for performance and scalability.
  • Implement data engineering best practices, design, testing, documentation and maintenance
• Data Governance:
  • Ensure compliance with data governance policies and procedures.
  • Monitor data quality and address any issues related to data completeness and accuracy.
• Collaboration:
  • Provide input to solution design & technical support of pipelines.
• Documentation:
  • Maintain comprehensive documentation of data engineering solutions, data models, and processes.
  • Contribute to design guides and training materials as needed.
• Issue and Incident Resolution: Provide support for issue and incident resolution.