About Us

Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next chance for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help you navigate your next. Recognized as the #1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI-first organization, we empower our people to work on next-generation technologies, continuously learn, and create impact at scale - supported by a culture rooted in care, inclusion, and excellence. Join Infosys and be part of a culture that is not just promised - it's certified. #TopEmployer2026 #ThriveAtInfosys

Short Description

As a DevOps, Platform Engineering and Site Reliability Engineering Consultant with AI, you will lead enterprise clients and delivery teams in establishing and adopting AI-enabled engineering practices, modern DevSecOps and SRE capabilities. You will assess current-state capabilities, shape transformation roadmaps,



architect and enable modern engineering platforms, and improve software delivery performance, resilience, security and developer experience. The role combines consulting leadership with practical engineering depth across DevOps toolchains, cloud platforms, infrastructure as code, internal developer platforms, observability, SRE, AIOps, and responsible AI governance. You will work with senior business and technology stakeholders to deliver measurable engineering excellence and operational outcomes.

Roles And Responsibilities

Consulting Delivery

DevOps, DevSecOps and Platform Engineering

- Analyse client IT environments to identify opportunities for improved efficiency using DevOps, DevSecOps, cloud-native platforms, automation, and AI-powered engineering tools.
- Prepare gap assessments and design roadmaps for AI-integrated DevOps automation, covering CI/CD/CT pipelines from requirements through development, testing, deployment, and operations.
- Architect and implement intelligent DevOps and DevSecOps tooling infrastructure, including integrations across platforms such as GitHub, GitLab, Azure DevOps, and AI-enhanced developer tools.
- Design, build, and optimise CI/CD/CT pipelines across Java, .NET, ERP platforms, and cloud-native applications.
- Drive automation across build, release, deployment, infrastructure provisioning, environment management, monitoring, and operational processes




- Support platform engineering initiatives across people, process, and technology, with a focus on scalable, secure, and intelligent engineering environments.
- Work with cloud platforms such as AWS, Azure, and GCP, including auto-scaling, high availability, capacity planning, and AI-based resource optimisation.
- Manage and support container platforms and cloud-native environments including Kubernetes, Docker Swarm, OpenShift, EKS, and AKS.
- Drive Engineering Excellence initiatives through adoption of DORA metrics, reliability engineering, observability, automation maturity models, AI-enabled quality assurance, and continuous improvement frameworks.

AI, GenAI and Automation Enablement

- Mentor DevOps engineers and delivery teams in the use of Generative AI tools such as GitHub Copilot, GitLab Duo, Microsoft 365 Copilot, and other AI-enabled developer productivity solutions.
- Apply prompt engineering techniques to improve interactions with large language models and support use cases such as code generation, pipeline automation, documentation, testing, and knowledge management
- Identify opportunities to use AI/ML and Generative AI to improve engineering efficiency, deployment reliability, incident response, anomaly detection, and operational visibility.
- Research and evaluate emerging technologies in AI/ML, MLOps, Generative AI, DevSecOps, and platform engineering to support innovation and solution development
- Contribute to scalable automation strategies that enable intelligent, secure, and resilient software delivery environments

Thought Leadership

- Provide insights on emerging Agile, DevOps, DevSecOps, AI/ML, MLOps, and Gen

📌 Devops Consultant (North Sydney)
🏢 Infosys
📍 North Sydney