Live opening · Posted 11 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
Requirements:
3-5 years of hands-on experience designing and implementing cloud solutions on Azure (preferred) and/or AWS.
Expertise in Python for backend services, automation, and API development.
Strong understanding of cloud concepts: IaaS, PaaS, SaaS, serverless computing, and cloud-native architectures.
Hands-on experience with: Azure App Services, Functions, App Insights, API Management, AWS Lambda, ECS/EKS, S3 CloudWatch (if applicable).
Terraform, ARM Templates, Ansible, MLflow or equivalent ML lifecycle management tools, Docker and Kubernetes / AKS.
Experience building CI/CD pipelines using Jenkins (Groovy scripts), Azure DevOps, or GitHub Actions.
Deep knowledge of networking, security, identity, monitoring, and cost optimisation in cloud environments.
Experience implementing scalable production-grade systems for AI/ML workloads is a strong plus.
Consulting Experience:
Proven track record in an IT consulting environment, engaging with large enterprises and MNCs in strategic data solutioning projects.
Strong stakeholder management, business needs assessment, and change management skills.
Leadership and Soft Skills:
Experience managing and mentoring small teams, developing technical skills in AI domains.
Ability to influence and align cross-functional teams and stakeholders.
Excellent communication, documentation, and presentation skills.
Strong problem-solving, analytical thinking, and strategic vision.
Experience
3-7 yrs
Recently tracked roles with full details and direct application links.