{"schemaVersion":"jobsearcher.job.v1","id":"45197d8fdb2ff87ae27ac72b","url":"https://jobsearcher.com/jobs/45197d8fdb2ff87ae27ac72b","canonicalUrl":"https://jobsearcher.com/jobs/45197d8fdb2ff87ae27ac72b","title":"AWS Devops","description":"Role description\n\nKey Responsibilities\nDesign implement and manage AWS cloud infrastructure EC2 S3 Lambda ECSEKS etc with scalability and security in mind\nDevelop and maintain Infrastructure as Code IaC using Terraform\nBuild manage and optimize Docker base images and containerized application stacks\nOrchestrate and maintain Kubernetes EKS clusters for production and staging environments\nSet up manage and optimize CICD pipelines in GitLab to support fast reliable deployments\nManage MCP servers and ensure reliable operations for critical services\nAutomate operational tasks and workflows using Python and JavaScript\nSupport fullstack teams React Nodejs by providing containerized environments and deployment strategies\nManage and optimize databases SQL PostgreSQL for performance security and scalability\nIntegrate and manage AWS streaming services Kinesis MSK Kafka or similar for realtime data pipelines\nImplement container image security scanning governance and lifecycle management\nMonitor system performance availability and cost implementing proactive improvements\nEnsure compliance with security and governance standards across cloud infrastructure and database layers\nCollaborate with developers and architects to improve application delivery scalability and resilience\nRequired Skills Qualifications\n8 years of experience in DevOps Cloud Infrastructure\nStrong handson experience with AWS services EC2 S3 ECSEKS Lambda VPC IAM CloudWatch KinesisMSK\nProficiency in Terraform for infrastructure automation\nExpertise with Docker including base image creation and Kubernetes orchestration\nStrong scriptingprogramming skills in Python and JavaScript\nExperience with GitLab CICD for pipelines automation and environment management\nStrong database experience with SQL and PostgreSQL setup scaling replication performance tuning\nExposure to streaming architectures AWS Kinesis KafkaMSK or similar\nExperience supporting Reactbased applications from a DevOps perspective\nFamiliarity with MCP servers and containerized service deployments\nKnowledge of cloud cost optimization and security best practices\nStrong problemsolving troubleshooting and communication skills\nPreferred Qualifications\nAWS certifications eg AWS Certified Solutions Architect DevOps Engineer Professional\nExperience with monitoringobservability tools Prometheus Grafana ELK Datadog\nKnowledge of networking load balancing and distributed system design\nFamiliarity with AgileScrum methodologies\n\nSkills\n\nMandatory Skills : Ansible, Application Architecture, Architecture Patterns and Styles, Java, Jenkins\n\nBenefits\nCompensation range: $70.00 to $75.00 per year\nAbout LTM\nLTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/","company":"LTM","rawCompany":"ltm","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-05T13:11:56.262Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Devops","description":"Role description\n\nKey Responsibilities\nDesign implement and manage AWS cloud infrastructure EC2 S3 Lambda ECSEKS etc with scalability and security in mind\nDevelop and maintain Infrastructure as Code IaC using Terraform\nBuild manage and optimize Docker base images and containerized application stacks\nOrchestrate and maintain Kubernetes EKS clusters for production and staging environments\nSet up manage and optimize CICD pipelines in GitLab to support fast reliable deployments\nManage MCP servers and ensure reliable operations for critical services\nAutomate operational tasks and workflows using Python and JavaScript\nSupport fullstack teams React Nodejs by providing containerized environments and deployment strategies\nManage and optimize databases SQL PostgreSQL for performance security and scalability\nIntegrate and manage AWS streaming services Kinesis MSK Kafka or similar for realtime data pipelines\nImplement container image security scanning governance and lifecycle management\nMonitor system performance availability and cost implementing proactive improvements\nEnsure compliance with security and governance standards across cloud infrastructure and database layers\nCollaborate with developers and architects to improve application delivery scalability and resilience\nRequired Skills Qualifications\n8 years of experience in DevOps Cloud Infrastructure\nStrong handson experience with AWS services EC2 S3 ECSEKS Lambda VPC IAM CloudWatch KinesisMSK\nProficiency in Terraform for infrastructure automation\nExpertise with Docker including base image creation and Kubernetes orchestration\nStrong scriptingprogramming skills in Python and JavaScript\nExperience with GitLab CICD for pipelines automation and environment management\nStrong database experience with SQL and PostgreSQL setup scaling replication performance tuning\nExposure to streaming architectures AWS Kinesis KafkaMSK or similar\nExperience supporting Reactbased applications from a DevOps perspective\nFamiliarity with MCP servers and containerized service deployments\nKnowledge of cloud cost optimization and security best practices\nStrong problemsolving troubleshooting and communication skills\nPreferred Qualifications\nAWS certifications eg AWS Certified Solutions Architect DevOps Engineer Professional\nExperience with monitoringobservability tools Prometheus Grafana ELK Datadog\nKnowledge of networking load balancing and distributed system design\nFamiliarity with AgileScrum methodologies\n\nSkills\n\nMandatory Skills : Ansible, Application Architecture, Architecture Patterns and Styles, Java, Jenkins\n\nBenefits\nCompensation range: $70.00 to $75.00 per year\nAbout LTM\nLTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/","datePosted":"2026-08-05T13:11:56.262Z","dateModified":"2026-08-05T13:11:56.262Z","hiringOrganization":{"@type":"Organization","name":"LTM","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"45197d8fdb2ff87ae27ac72b"},"url":"https://jobsearcher.com/jobs/45197d8fdb2ff87ae27ac72b"}}