Job Description

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

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

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Areyoureadytobeanimportantpartofthisever-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: nn
- 5+ years of professional 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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- Robust 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: nn
- 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 (Surry Hills)
🏢 HCLTech
📍 Surry Hills