Job Description
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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?
Key Responsibilities: n
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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: n
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5+ years
of qualified 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: n
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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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#J-*****-Ljbffr

📌 Senior Devops Engineer - Aws, Kubernetes & Ai Automation (Sydney)
🏢 HCLTech
📍 Sydney