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Senior/Lead DevOps + MLOps Engineer
Luxoft · Noida
LeadFull-timeOnsite
Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established
Skills
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores
Discovered 3 weeks ago
ApplySenior/Lead DevOps + MLOps Engineer
Luxoft · Hyderabad
LeadFull-timeOnsite
Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established
Skills
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores
Discovered 3 weeks ago
ApplySenior/Lead DevOps + MLOps Engineer
Luxoft · Gurugram
LeadFull-timeOnsite
Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established
Skills
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores
Discovered 3 weeks ago
ApplySenior/Lead DevOps + MLOps Engineer
Luxoft · Bengaluru
LeadFull-timeOnsite
Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established
Skills
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores
Discovered 3 weeks ago
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