Job Description
WeareHCLTech,oneofthefastest
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growinglargetechcompaniesintheworldandhometo219,000+peopleacross54countries,superchargingprogressthroughindustry
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leadingcapabilitiescenteredaroundDigital,EngineeringandCloud.
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Thedrivingforcebehindthatwork,ourpeople,arediverse,creative,andpassionate,raisingthebarforexcellenceonaregularbasis.
We,inturn,workhardtobringoutthebestinthemaswestrivetohelpthemfindtheirsparkandbecomethebestversionofthemselvesthattheycanbe.
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Areyoureadytobeanimportantpartofthisever
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transformationaljourney?
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Key Responsibilities:
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Design, deploy, and manage scalable cloud infrastructure on AWS using Terraform (Infrastructure as Code).
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Build and maintain Kubernetes clusters on AWS using EKS.
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Automate provisioning, configuration management, and application deployments.
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Monitor cloud infrastructure health and performance, and implement improvements as needed.
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Collaborate with DevOps, development, and security teams to build CI/CD pipelines and enforce best practices.
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Provide operational support and troubleshooting of cloud-native environments.
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Contribute to architecture and design decisions around cloud and container orchestration.
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Maintain documentation related to system configuration, standards, and best practices.
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Assist with occasional projects or deployments in Microsoft Azure environments.
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Build and maintain AI-assisted automation for infrastructure and pipeline tasks (e.g., AI-driven IaC generation, automated code/security review).
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Requirements:
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5+ years of skilled experience in cloud engineering or DevOps roles.
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Proven expertise in AWS services including EC2, VPC, IAM, S3, CloudWatch, and especially EKS.
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Strong experience in Terraform for managing infrastructure as code.
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Familiarity with CI/CD pipelines, scripting (e.g., Bash, Python), and configuration management tools.
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Working knowledge of Azure cloud fundamentals and services.




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Experience with Docker, Kubernetes, and container orchestration.
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Solid understanding of networking, security best practices, and cost optimization in cloud environments.
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Excellent problem-solving skills and ability to work independently or in a team.
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Experience integrating AI/LLM tooling into DevOps workflows (e.g., MCP servers, AI-assisted pipelines).
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Preferred Qualifications:
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Certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), or Microsoft Azure Fundamentals.
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Experience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or Cloud-native alternatives.
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Exposure to GitOps tools (e.g., ArgoCD, Flux) is a plus.
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Familiarity with other IAC tools like CloudFormation
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Exposure to Model Context Protocol (MCP) or similar AI-tool integration frameworks.
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Experience building AI-powered automation for code review, IaC generation, or config management.
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Representing165nationalitiesacrosstheglobe,weprideourselvesonbeinganequalopportunityemployer,committedtoprovidingequalemploymentopportunitiestoallapplicantsandemployeesregardlessofrace,religion,sex,color,age,nationalorigin,pregnancy,sexualorientation,physicaldisabilityorgeneticinformation,militaryorveteranstatus,AboriginalandTorresStraitIslanderpeopleoranyotherprotectedclassification,inaccordancewithfederal,state,and/orlocallaw.
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📌 Senior Devops Engineer - Aws, Kubernetes & Ai Automation (New South Wales)
🏢 HCLTech
📍 New South Wales