Senior DevOps Engineer – AWS, Kubernetes & AI Automation

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.

Are you ready to be an important part of this ever-transformational journey?

At HCLTech Australia, we value the unique perspective and contributions of all individual and we actively encourage applications from Aboriginal and Torres Strait Islander people to apply for this role.

Key Responsibilities:

• Design, deploy, and manage scalable cloud infrastructure on AWS using Terraform (Infrastructure as Code).
• Build and maintain Kubernetes clusters on AWS using EKS.
• Automate provisioning, configuration management, and application deployments.
• Monitor cloud infrastructure health and performance, and implement improvements as needed.
• Collaborate with DevOps, development, and security teams to build CI/CD pipelines and enforce best practices.
• Provide operational support and troubleshooting of cloud-native environments.
• Contribute to architecture and design decisions around cloud and container orchestration.
• Maintain documentation related to system configuration, standards, and best practices.
• Assist with occasional projects or deployments in Microsoft Azure environments.
• Build and maintain AI-assisted automation for infrastructure and pipeline tasks (e.g., AI-driven IaC generation, automated code/security review).

Requirements:

• 5+ years of professional experience in cloud engineering or DevOps roles.
• Proven expertise in AWS services including EC2, VPC, IAM, S3, CloudWatch, and especially EKS.
• Strong experience in Terraform for managing infrastructure as code.
• Familiarity with CI/CD pipelines, scripting (e.g., Bash, Python), and configuration management tools.
• Working knowledge of Azure cloud fundamentals and services.
• Experience with Docker, Kubernetes, and container orchestration.
• Solid understanding of networking, security best practices, and cost optimization in cloud environments.
• Excellent problem-solving skills and ability to work independently or in a team.
• Experience integrating AI/LLM tooling into DevOps workflows (e.g., MCP servers, AI-assisted pipelines).

Preferred Qualifications:

• Certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), or Microsoft Azure Fundamentals.
• Experience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or Cloud-native alternatives.
• Exposure to GitOps tools (e.g., ArgoCD, Flux) is a plus.
• Familiarity with other IAC tools like CloudFormation
• Exposure to Model Context Protocol (MCP) or similar AI-tool integration frameworks.
• Experience building AI-powered automation for code review, IaC generation, or config management.

Equality & Opportunity for All

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, Aboriginal and Torres Strait Islander people or any other protected classification, in accordance with federal, state, and/or local law.

Candidate Data Privacy Notice | HCL Technologies

We are committed to respecting your privacy and for the protection of your personal data. Your personal data will be collected and processed in line with our candidate privacy notice: https://www.hcltech.com/candidate-privacy-notice. This privacy notice will help you to understand what personal data we collect about you, how we use this personal data, and what rights you have regarding your personal data. By replying to this email or submitting any personal data to HCL Tech, you acknowledge that you have read and understood the candidate privacy notice and have provided your consent to the processing of your data for recruitment purposes as described in the privacy notice”.