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L

Contractor

LTM
  • ๐Ÿ‡ฎ๐Ÿ‡ณ India
  • On-site
  • Senior
  • 2 months ago
  • AI
  • AWS
  • Terraform
  • IAM
  • AI/ML
  • Machine Learning
  • IaC
  • Configuration Management
  • CI/CD
  • RBAC
  • ABAC
  • Zero Trust
  • Incident Response
  • Devops
  • VPC
  • EC2
  • EKS
  • ECS
  • API Gateway
  • RDS
  • DynamoDB
  • CloudWatch
  • KMS
  • REST API
  • GraphQL
  • Microservices
  • OAuth2
  • OIDC
  • JWT
  • AWS IAM
  • Secrets Management
  • RAG
  • Amazon Bedrock
  • OpenAI
  • Kubernetes
  • Docker
  • GitOps
  • Python
  • Java
  • Node.js
  • AWS Security Specialty
  • CKA
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Senior Cloud AI Platform Engineer

Experience 8 Years

Location Open Hybrid

Employment Type FullTime

Role Overview

We are seeking a highly skilled Senior Cloud AI Platform Engineer to design build and operate enterprisescale AI platforms on AWS The ideal candidate combines deep expertise in cloud infrastructure Terraform APIs cloud security IAM and platform engineering with strong experience enabling AIML and Generative AI workloads

This role requires handson ownership of cloudnative architectures infrastructure automation security guardrails developer platforms and AI service integration ensuring scalable secure and productionready AI ecosystems

Key Responsibilities

AI Platform Engineering

Design build and maintain cloudnative AI platforms supporting GenAI Machine Learning and Agentic AI workloads

Develop reusable platform components selfservice capabilities and standardized deployment patterns

Enable secure deployment and operation of LLMs vector databases AI APIs and AI development environments

Drive platform reliability observability scalability and operational excellence

Cloud Infrastructure Automation

Architect and manage AWS infrastructure using Terraform and InfrastructureasCode IaC best practices

Automate provisioning configuration management governance and lifecycle management

Implement CICD pipelines for infrastructure and application deployments

Optimize cloud environments for performance availability resilience and cost

API Integration Engineering

Design and develop enterprisegrade APIs and integration frameworks

Integrate AI services with internal applications data platforms and thirdparty systems

Build secure API gateways authentication mechanisms and servicetoservice integrations

Ensure API scalability observability governance and security compliance

Security IAM Governance

Implement cloud security best practices across AWS services

Design and manage Identity Access Management IAM RBAC ABAC federation and zerotrust architectures

Establish security guardrails policy enforcement governance controls and compliance frameworks

Conduct security reviews threat assessments vulnerability remediation and audit readiness activities

Platform Reliability Operations

Implement monitoring logging tracing ing and incident response capabilities

Define SRE practices SLAs SLOs and operational excellence standards

Drive root cause analysis and continuous platform improvement initiatives

Mentor engineering teams on platform engineering and cloud best practices

Required Skills Experience

Cloud Infrastructure

8 years of experience in cloud engineering platform engineering DevOps or cloud architecture

Deep expertise in AWS services including

VPC

EC2

EKS

ECS

Lambda

API Gateway

S3

RDS

DynamoDB

CloudWatch

KMS

Secrets Manager

Route 53

Infrastructure as Code

Expertlevel experience with Terraform

Strong understanding of modular Terraform architecture and state management

Experience implementing enterprise infrastructure automation frameworks

API Engineering

Strong handson experience with REST APIs GraphQL and microservices architectures

Experience integrating enterprise systems through APIs

Proficiency in API security standards including OAuth2 OIDC JWT and API Gateway implementations

Security IAM

Advanced knowledge of

AWS IAM

Identity Federation

SSO

RBACABAC

Zero Trust Security

Cloud Security Posture Management

Secrets Management

Encryption Key Management

AI Platform Engineering

Experience supporting MLAI platforms and AI application deployment

Knowledge of GenAI ecosystems LLM deployment models vector databases RAG architectures and AI operations

Experience integrating AI services such as Amazon Bedrock OpenAI Anthropic or equivalent platforms is highly desirable

DevOps Platform Engineering

Expertise in

Kubernetes EKS

Docker

JenkinsGitHub ActionsGitLab CI

GitOps

CICD

Observability Platforms

Platform Reliability Engineering

Programming

Strong proficiency in

Python

Go preferred

Java or Nodejs desirable

Shell Scripting

Preferred Qualifications

AWS Solutions Architect Professional or Associate Certification

AWS Security Specialty Certification

Certified Kubernetes Administrator CKA

Terraform Associate Certification

Experience building Internal Developer Platforms IDP

Experience implementing enterprise AI governance and responsible AI frameworks

What Success Looks Like

Secure scalable and reusable AI platform capabilities

Accelerated AI solution delivery through selfservice automation

Reduced deployment lead times through InfrastructureasCode and CICD

Robust IAM security controls and governance frameworks

High platform reliability availability and operational efficiency

Contractor ยท LTM

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