Hybrid DevOps & AI Platform Engineer Consultant

Infosys

Melbourne

Hybrid

AUD 109,000 - 120,000

Full time

3 days ago

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Job summary

Infosys is a global leader in next-generation digital services and consulting, seeking a DevOps, Platform Engineering and SRE Consultant with AI expertise. You will lead enterprise clients and delivery teams to establish AI-enabled engineering practices, modern DevSecOps, and SRE capabilities, shaping transformation roadmaps and architecting modern platforms.

The role blends consulting leadership with deep engineering, covering CI/CD/CT, IaC, observability, and cloud-native tooling across AWS,

Qualifications

Minimum 12 years of information technology experience, including substantial experience in DevOps, DevSecOps, platform engineering, SRE, cloud engineering, systems integration or technology transformation.
Strong hands-on understanding of CI/CD/CT, release engineering, deployment automation, infrastructure as code, configuration management and software engineering practices.
Experience with Kubernetes, OpenShift, EKS, AKS, Docker and cloud-native application platforms.
Experience with Terraform, Ansible, Chef, Puppet or comparable automation technologies.
Strong consulting, facilitation, executive communication, stakeholder management, presentation and written communication skills.

Responsibilities

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.