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SKNG Services
About the role
Key information Estimated Start Date: Thursday, 01 October 2026Initial contract duration: 12 MonthsExtensions term: 2 x 12 MonthsLocation: ACTWorking arrangements: HybridSecurity clearance: Must be able to obtain Baseline
Why SKNG representation? When you choose SKNG, you are making a strategic investment in your professional future. Here are the advantages when choosing us:Competitive Margins: Our transparent and competitive margins aren't just about fairness — they dramatically enhance your chances of being shortlisted for an interview, fostering win-win scenarios for every stakeholder.Personalised Application Support: Elevate your application with our tailored support. Submit succinct, informative and standout selection criteria responses, coupled with strategic rate advice.Career Growth: With the aid of a contractor expert, foster your personal development to build your career.Federal Government Contracts: An approved seller with a proven track record, we specialise in successful placements within federal government.We pride ourselves on offering these comprehensive services at no extra cost. Choose SKNG — where your career development is our priority.
Key duties and Responsibilities The successful candidate will be required to,Provide technical leadership and architectural authority for the design, governance and evolution of cloud native, microservices based and AI enabled platforms, ensuring alignment with enterprise architecture, security and business transformation objectives.Lead the establishment of modern engineering and AI delivery practices, including AI enabled software development lifecycle (SDLC), DevSecOps, CI/CD, observability, automated testing and platform engineering standards that support secure, scalable and reliable service delivery.
Essential criteriaExtensive experience designing, implementing and governing cloud native, microservices and event driven architectures within complex enterprise environments, delivering scalable, resilient and secure business critical platforms.Demonstrated expertise in AI engineering and AI enabled solution delivery, including the development, deployment and operationalisation of enterprise AI capabilities, semantic search, machine learning solutions and responsible AI practices.Strong software engineering and platform engineering capability, including modern development frameworks, DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.Proven ability to lead enterprise technology modernisation and transformation initiatives, providing technical direction, influencing architecture decisions and delivering measurable improvements in platform reliability, security, scalability and engineering maturity.Exceptional stakeholder engagement, communication and leadership skills, with demonstrated experience leading multidisciplinary teams, delivery partners and senior executives and translating complex business requirements into practical technology outcomes.Desirable criteriaExperience designing, implementing and operating container platforms using technologies such as Kubernetes, OpenShift, AKS, EKS or GKE, including platform automation, governance and workload management.Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, observability tooling and enterprise scale automation practices.Experience leading delivery within Agile environments, including coaching geographically dispersed teams, driving capability uplift and fostering a culture of collaboration, innovation and continuous improvement.
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