AWS GenAI Cloud Platform Engineer

Team Geek Solutions

Full Timemid

Chennai, Tamil Nadu, INPosted 3 days ago

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PythonAWSTerraformCI/CDDevOpsAPI

Job Description

AWS Gen AI Cloud Platform Engineer

Exp: 5+ years

Location – Chennai

Key Responsibilities

Cloud Architecture Engineering (AWS):

Design, build, and operate scalable, secure, highly available AWS workloads (compute, networking, storage, data, serverless).

Develop reference architectures and IaC modules aligned to best practices and guardrails.

DevOps Platform Automation

Implement CI/CD pipelines, automated testing, and

GitOps workflows. Own Infrastructure as Code (Terraform/CDK/CloudFormation), configuration management, and environment provisioning across dev/test/prod.

Observability Reliability

Set up logging, metrics, tracing, and SLOs using CloudWatch.

Drive incident response, postmortems, capacity planning, and reliability improvements.

Security Compliance

Embed security-by-design (IAM, KMS, Secrets Manager), enforce least privilege, and implement threat detection and vulnerability management.

Support compliance needs (e.g., SOC2, ISO 27001, GxP) via policy-as-code and automated controls.

Cost Management FinOps

Monitor and optimize cloud spend with tagging, budgets, RI/SP management, right sizing, and usage analytics. Advise teams on cost efficient architectures.

Data Integration

Build data pipelines (AWS Glue, Step Functions, Lambda, EventBridge) and API integrations (API Gateway, AppSync, ALB/NLB) to support AI workloads and product features.

AI Platform Enablement (Bedrock, GenAI)

Design and operate Amazon Bedrock integrations, model access patterns, prompt and retrieval pipelines, and RAG architectures using AWS native and open tooling.

Agentic AI Orchestration

Implement agentic workflows (tool use, planning, memory) with frameworks (LangChain, AWS Agents for Bedrock) and secure tool adapters (search, code, data).

Manage observation and safety layers.

MLOps For Foundation Models

Establish versioning, evaluation, governance, and rollout practices for prompts, datasets, embeddings, and model variants.

Automate offline/online evaluation, A/B tests, and canary releases.

Cross Functional Collaboration

Partner with product, data science, security, and compliance to translate requirements into robust cloud and AI solutions.

Provide technical documentation and knowledge sharing.

Skills: python,generative ai,aws,ci/cd,genai,agentic,amazon web services (aws),devops,aws engineer