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Xebia
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AWS Solution Architect

AWS Solution Architect

Xebia

9 years

0 Lacs

Gurugram Haryana India

Posted:3 weeks ago| Platform:

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Skills Required

aws design architecture code devops security ai leadership strategy development governance integration engineering vpc iam api terraform jenkins gitlab encryption network docker communication presentation ml sagemaker monitoring datadog microservices

Work Mode

On-site

Job Type

Full Time

Job Description

Experience: 9+ Years

Role: AWS Solution Architect

Location: India

Job Summary:

AWS Solution Architect

Key Responsibilities:

Design, build, and maintain scalable and secure AWS cloud architectures tailored to client or project needs.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Should have experience in Agentic AI and Python.
Provide technical leadership in cloud strategy, solution development, and deployment.
Design for high availability, disaster recovery, and cost optimization.
Define and implement governance policies and best practices across AWS environments.
Work closely with development, operations, and security teams to ensure seamless integration and performance.
Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform.
Lead proof-of-concepts and technical validation for new projects and services.

Required Skills & Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
9+ years of experience in IT, with 4+ years in cloud architecture (specifically AWS).
AWS Certified Solutions Architect – Associate or Professional (preferred).
Strong expertise in core AWS services: EC2, S3, VPC, IAM, RDS, Lambda, API Gateway, CloudFormation, etc.
Proficiency in infrastructure-as-code tools like Terraform, AWS CDK, or CloudFormation.
Experience with CI/CD tools such as Jenkins, GitLab CI, AWS CodePipeline.
Knowledge of security best practices (encryption, IAM policies, network security).
Familiarity with containers (Docker, ECS, EKS) and serverless architecture.
Excellent communication, presentation, and client-facing skills.

Preferred Qualifications (Nice to Have):

Hands-on experience with
AI/ML workloads
on AWS (e.g., SageMaker, Bedrock).
Experience with
multi-cloud or hybrid-cloud
strategies.
Familiarity with
agent-based AI frameworks
,
event-driven architecture
, or
GraphQL
.
Experience integrating monitoring tools like CloudWatch, Datadog, or New Relic.
Background in microservices architecture and API development.

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