Position: AWS Cloud Engineer

Location: Noida / Greater Noida

Work Mode: Hybrid – 3 days from office

Shift: 2:30 PM to 10:30 PM

Experience: 5–7 Years

Role Overview

We are looking for an experienced AWS Cloud Engineer with solid hands-on experience in Cloud Engineering / Platform Engineering, AWS infrastructure, AI/ML platforms, automation, and MLOps.

Important: This role is focused on AWS Cloud Engineering / AI-ML Platform Engineering. AWS Data Engineer profiles should not be shared.

Key Responsibilities

- Design, deploy, configure, and manage AWS cloud infrastructure.
- Build and support cloud-native platforms, CI/CD pipelines, and automation.
- Implement AWS-based solutions using EC2, Lambda, EKS/ECS, S3, IAM, SNS, SQS and related services.
- Set up and operationalize AI/ML services including AWS Bedrock and SageMaker.
- Build infrastructure supporting GenAI and Agentic AI workloads.
- Work on LLM integrations, RAG applications, vector databases, and orchestration frameworks.
- Implement MLOps practices including model deployment, CI/CD, monitoring, and production support.
- Configure and deploy serverless applications.
- Work with containerized applications and orchestration platforms such as EKS/ECS.
- Support AI/ML applications in production and troubleshoot infrastructure-related issues.
- Work with AWS analytics services such as EMR, Athena, and Glue.
- Use automation and source code management tools such as Jenkins and Ansible.




- Collaborate with engineering teams to build scalable and reliable cloud solutions.

Mandatory Skills
- 5+ years of Cloud Engineering / Platform Engineering experience on AWS.
- Strong hands-on experience with Python.
- AWS Bedrock.
- AWS EMR.
- AWS S3.
- AWS Athena.
- AWS IAM.
- AWS Lambda.
- AWS EC2.
- AWS SNS / SQS.
- AI/ML Platform Engineering.
- MLOps.
- Strong understanding of AWS compute, storage, networking, and IAM.
- Hands-on experience with AWS infrastructure and cloud services.

Positive to Have
- Amazon SageMaker.
- AgentCore.
- PySpark.
- AWS Glue.
- CI/CD.
- RAG applications.
- Vector databases.
- EKS / ECS.
- Jenkins / Ansible.
- Snowflake knowledge or willingness to learn.

Candidate Profile Candidates should have strong hands-on experience in AWS Cloud Engineering / Platform Engineering, particularly around AI/ML infrastructure and GenAI workloads.

Do Not Share: AWS Data Engineer / purely Data Engineering profiles.

Pay: ₹597,188.13 - ₹2,083,270.16 per year

Benefits

- Provident Fund

Application Question(s):
- Total years of experience in AWS Cloud Engineering / Platform Engineering?
- Are you currently working as an AWS Cloud Engineer / Platform Engineer?
- Do you have hands-on experience with AWS Bedrock for GenAI workloads?
- Do you have experience building or supporting Agentic AI / GenAI solutions on AWS, including LLM integration, RAG, vector databases, or orchestration?
- Are you comfortable working in the 2:30 PM – 10:30 PM shift?

Work Location: In person

📌 AWS Cloud Engineer (Noida)
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📍 Noida