Want to know if this job is worth applying to?
Sydney, Australia
Onsite
Techwave, we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do.
Who are we?
Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT).
Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth.
Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible.
And we want YOU to be a part of it.
• 7+ years demonstrated experience in DevOps, platform engineering, cloud operations, release engineering or production support roles.
• Strong hands-on experience with Azure DevOps, CI/CD pipelines and deployment automation.
• Strong working knowledge of Microsoft Azure and Microsoft technology stack environments.
• Working knowledge of Azure Synapse and data platform operations.
• Strong SQL knowledge, including the ability to investigate data issues and review stored procedure changes.
• Working knowledge of Unix / Linux for operational support, log review and troubleshooting.
• Experience with monitoring, logging and alerting tools to support platform reliability and operational performance.
• Awareness of Power BI deployment and production support considerations.
• Basic awareness of Microsoft Fabric is desirable, particularly where platforms may transition from Synapse to Fabric in future.
• Basic scripting or coding capability to support automation, troubleshooting and technical investigation.
• Exposure to .NET application support is desirable.
• Experience with containerisation and cloud-native architectures is desirable.
• Tertiary qualification in Information Technology, Computer Science, Engineering or a related discipline, or equivalent practical experience.
Experiences you’ve had that will help you succeed
• Demonstrated experience working in a high-volume and demanding professional environment, with the ability to prioritise, multi-task and work with a customer-focused approach.
• Experience supporting production systems, operational platforms and business-critical applications in an enterprise environment.
• Experience supporting DevOps activities across application, data and analytics platforms.
• Experience managing deployments and code promotion across Dev, QA, UAT and Production environments.
• Experience taking handover from developers, data engineers and QA teams to support releases, production fixes and platform changes.
• Experience supporting CI/CD pipelines, deployment automation, release validation and production readiness activities.
• Experience investigating SQL, stored procedure, data pipeline and production data availability issues.
• Understanding of the end-to-end System Development Life Cycle and how changes move from development through to production support.
• Experience collaborating with operations, developers, data engineers, QA, project teams and business stakeholders to support issue resolution and production changes.
• Experience in Retail Media, Retail, Wholesale, FMCG, Supply Chain or similar business environments is desirable.
The behaviors and attributes that will help you succeed
• Adaptability
• Building trust with stakeholders
• Excellent communication skills
• Reliability and ownership
• Proactive stakeholder updates
• Action-oriented approach
• Strong work standards
• Problem-solving and troubleshooting mindset
• Operational discipline and attention to detail
• Continuous improvement focus
• Collaboration across operations, development, data engineering, QA and business teams
• Contributing to team success