AI Security & Platform Engineer Jobs in India 2026 — Tailor Resume with AI

AI Security & Platform Engineer

Metaforms · Bengaluru

MidFull-timeOnsite

About Metaforms Metaforms builds AI infrastructure for research delivery teams. Our agents help market research agencies and sample providers execute complex workflows with greater speed, consistency, and scale. As the

Discovered 3 weeks ago

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Senior AI Platform Engineer - Security

Esko · Bengaluru

SeniorFull-timeOnsite

Senior AI Platform Engineer - Security Location: Bangalore (Quarterly visit for weeks.) Function: Software Engineering Reports to: Engineering Manager, Esko AI About the role Esko's products handle sensitive customer con

Discovered 3 weeks ago

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Senior Security Engineer - Cloud & AI Platform

Ema · Bengaluru

SeniorFull-timeOnsite

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so

Discovered 1 weeks ago

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Manager, AI Platform Engineer, DTS - Global Capability Center

Alvarez and Marsal · Gurugram

SeniorFull-timeOnsite

Description About Alvarez & Marsal Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and as

Skills

PythonLangGraphOpenTelemetryLangfuse

Discovered 3 weeks ago

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SR AI Platform Engineer

Assent · Pune

SeniorFull-timeHybrid

Position Summary Assent is building a governed platform that turns AI use cases into production-ready services — usable by technical and non-technical builders alike. You'll build the self-serve builder experience at the

Skills

awscloudwatchdockerecs

Discovered 3 weeks ago

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Senior AI Platform Engineer

Maersk · Dongargarh

SeniorFull-time

We are building the agentic foundation beneath Maersk’s data and AI platform, allowing people and their agents to safely build and operate production systems at scale. Our ambition is to enable a small team, working effe

Skills

awsdatabrickskubernetes

Discovered 4 weeks ago

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AI Platform Engineer (m/f/d)

AMDT ·

Mid

Role Overview So arbeiten wir – bitte aufmerksam lesen Diese Stelle passt nicht zu jedem, und das ist Absicht. Damit du einschätzen kannst, ob sie zu dir passt: Du baust die Schienen, nicht nur die Züge. Während die ande

Skills

csharpdockerdotnetpython

Discovered 4 weeks ago

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Platform Engineer – Agentic AI & Harness Engineering

Kyndryl · Dongargarh

MidFull-time

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of

Skills

awsazuregcpkubernetes

Discovered 4 weeks ago

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Staff Software Engineer

Teradata ·

SeniorFull-time

Our Company: At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context t

Skills

Software developmentDistributed systemsGoogle Cloud, AWS, and AzureGo or Python

Discovered 4 weeks ago

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Senior Software Engineer

Teradata ·

SeniorFull-time

Our Company: At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context t

Skills

Cloud services and control-plane designDistributed systemsGoogle CloudAWS

Discovered 4 weeks ago

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Senior Software Engineer

Teradata ·

SeniorFull-time

Our Company: At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context t

Skills

Cloud services and control planesDistributed systemsAWSMicrosoft Azure

Discovered 4 weeks ago

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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 2 weeks ago

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Senior/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 2 weeks ago

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Senior/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 2 weeks ago

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Senior/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 2 weeks ago

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"AI Security & Platform Engineer" Jobs in India