[TF8E7XIO] Senior Cloud AI Platform Engineer

Hello All,
Greetings from ZettaMine!!!
Role: Senior Cloud AI Platform Engineer
Experience: 8 to 12 Years
Location: Pan India
Notice Period: Immediate Joiners
Hiring for one of the Big 4's Clients
Description
We are seeking a highly skilled Senior Cloud AI Platform Engineer to design, build, and operate enterprise-scale 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.
Responsibilities
Design, build, and maintain cloud-native AI platforms supporting GenAI, Machine Learning, and Agentic AI workloads
Develop reusable platform components, self-service 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
Architect and manage AWS infrastructure using Terraform and Infrastructure-as-Code (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
Design and develop enterprise-grade APIs and integration frameworks
Integrate AI services with internal applications, data platforms, and third-party systems
Build secure API gateways, authentication mechanisms, and service-to-service integrations
Ensure API scalability, observability, governance, and security compliance
Implement cloud security best practices across AWS services
Design and manage Identity Access Management (IAM) RBAC, ABAC, federation, and zero-trust architectures
Establish security guardrails, policy enforcement, governance controls, and compliance frameworks
Conduct security reviews, threat assessments, vulnerability remediation, and audit readiness activities
Implement monitoring, logging, tracing, 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
Requirements
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, and Route 53
Expert-level experience with Terraform
Strong understanding of modular Terraform architecture and state management
Experience implementing enterprise infrastructure automation frameworks
Strong hand-on 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
Advanced knowledge of AWS IAM, Identity Federation, SSO, RBAC, ABAC, Zero Trust Security, Cloud Security Posture Management, Secrets Management, and Encryption Key Management
Experience supporting ML-AI 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
Interested candidates kindly share your updated CV to aruna.m@zettamine.com or WhatsApp to 6302404863.
Thanks & Regards,
Aruna.M

Work arrangement
No