Senior DevOps Engineer – AWS, Kubernetes & AI Automation

HCLTech; North Sydney Council; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Job summary

HCLTech is seeking an experienced Cloud Engineer/DevOps professional to design and operate scalable AWS-based infrastructure. You will manage Terraform-driven deployments, Kubernetes clusters on EKS, and CI/CD pipelines while collaborating with security and development teams.

The role includes Azure familiarity and AI-assisted automation initiatives. Ideal candidates have 5+ years in cloud/DevOps, strong scripting skills, and a passion for scalable, secure, cost-aware cloud architectures.

Qualifications

• 5+ years of cloud engineering or DevOps experience.
• Proven AWS expertise (EC2, VPC, IAM, S3, CloudWatch, EKS).
• Strong Terraform and IaC experience.
• CI/CD pipelines, scripting Bash/Python, config mgmt.
• Azure fundamentals knowledge.
• Docker and Kubernetes experience.
• Networking and security best practices in cloud.
• Experience with AI/LLM tooling in DevOps workflows.

Responsibilities

• Design, deploy, and manage scalable cloud infrastructure on AWS using Terraform.
• Build and maintain Kubernetes clusters on AWS using EKS.
• Automate provisioning, configuration, and deployments.
• Monitor health and performance; implement improvements.
• Collaborate with DevOps, development, security for CI/CD pipelines.
• Provide operational support for cloud-native environments.
• Contribute to architecture decisions on cloud and containers.
• Maintain system configuration documentation.
• Assist with Azure deployments as needed.
• Develop AI-assisted automation for IaC and pipelines.

Skills

AWS

Terraform

CI/CD

Bash/Python

Azure basics

Docker/Kubernetes

AI/LLM tooling

Networking/Sec bestpractices

Tools

Terraform

Docker

Kubernetes

Prometheus

Grafana

ELK stack

ArgoCD

Flux

CloudFormation

Job description

WeareHCLTech,oneofthefastest-growinglargetechcompaniesintheworldandhometo219,000+peopleacross54countries,superchargingprogressthroughindustry-leadingcapabilitiescenteredaroundDigital,EngineeringandCloud.

Thedrivingforcebehindthatwork,ourpeople,arediverse,creative,andpassionate,raisingthebarforexcellenceonaregularbasis.We,inturn,workhardtobringoutthebestinthemaswestrivetohelpthemfindtheirsparkandbecomethebestversionofthemselvesthattheycanbe.

Areyoureadytobeanimportantpartofthisever-transformationaljourney?

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.

Representing165nationalitiesacrosstheglobe,weprideourselvesonbeinganequalopportunityemployer,committedtoprovidingequalemploymentopportunitiestoallapplicantsandemployeesregardlessofrace,religion,sex,color,age,nationalorigin,pregnancy,sexualorientation,physicaldisabilityorgeneticinformation,militaryorveteranstatus,AboriginalandTorresStraitIslanderpeopleoranyotherprotectedclassification,inaccordancewithfederal,state,and/orlocallaw.

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