AWS Sr. Solutions Architect

Jefferson Frank
Published
June 8, 2021
Location
Santa Clara, CA
Category
Default  
Job Type

Description

Job Description:

Bachelor's degree in Computer Science or a well-rounded professional background in IT Operations including environment architecture, design, automation, network engineering, SAN Storage, systems administration, virtualization, monitoring, incident response, configuration management.

• Minimum 7 years professional IT Operations or Infrastructure implementation experience.

• Minimum 5 years' experience provisioning, operating, and managing AWS environments.

• Must possess the following active certification: AWS Solutions Architect - Associate.

• Thorough understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape.

• Extensive experience as Cloud Solutions Architect with AWS IaaS and PaaS (AWS EC2, S3, VPC, RDS, Route53, DirectConnect, VPN, CloudFront, etc.).

• Experience with AWS managed services Amazon Kinesis, AWS Lambda, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions.

• Knowledge with Web Services, API Gateways and application integration development and design

• Experience with Linux and Windows

• Knowledge of agile software development practices and release management.

• Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.

Desirable Qualifications:

• Consulting / Client serving experience

• AWS Certified Professional level certification

• Experience with Infrastructure as Code using CloudFormation, Terraform, and/or AWS Cloud Development Kit.

• Experience with automation/configuration management using Puppet, Chef, Ansible or similar

• Experience with distributed deployments of Splunk Enterprise

• Knowledge of DevOps methods and CI/CD automation practices

• Knowledge of containerization technologies (Docker, Kubernetes, etc.)

• Knowledge of data migration practices and technologies

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