
Cloud Engineer- Mid Level
22nd Century Technologies · Raleigh, NC
Strong hiring record · median 30 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
Client requires the services of a Senior Cloud Application Developer who will help build robust, scalable cloud applications and serverless systems across AWS and Azure. This role focuses on backend development, AI/ML integration, and deploying cloud-native components including Lambda functions, cloud databases, smart communication workflows, and content delivery systems.
Responsibilities
- Build and deploy serverless applications using AWS Lambda.
- Design hybrid cloud architectures integrating AWS and Azure services.
- Integrate generative AI foundation models using Amazon Bedrock or SageMaker.
- Manage cloud databases such as Amazon RDS and DynamoDB.
- Implement smart customer communication workflows via Amazon Connect.
- Configure Amazon S3 buckets and optimize global content delivery using CloudFront.
- Manage cloud security, IAM roles, keys, secrets, and API gateways.
Skills
Required
Required Experience
Candidate Experience
Last Used
Hands-on cloud development experience (AWS preferred; Azure beneficial).
Required
4
Years
Proven track record/experience with AWS Lambda, RDS, S3, DynamoDB, and infrastructure-as-code patterns.
Required
4
Years
Experience implementing generative AI models via Bedrock or SageMaker.
Required
4
Years
Experience using Amazon Connect and CloudFront configurations.
Required
3
Years
Strong understanding of cloud identity management (IAM, Azure AD/Entra ID)
Required
3
Years
Proficiency in Python, Node.js, SQL, or scalable backend languages
Required
6
Years
Ability to organize, prioritize, and follow complex and/or detailed technical procedures
Required
7
Years
Experience with Agile (Scrum, Kanban, or Safe) development
Required
3
Years
Description
Questions
Answers
Question 1
Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?
Question 2
All work must be completed on-site. Do you agree to this requirement?
Question 3
Your candidate must be able to attend an in-person interview. Do you agree to this requirement?
Question 4
What is your candidate's email address?
Question 5
How soon can your candidate start if selected for this opportunity?
Question 10
Payment for all approved hours will be paid at the straight hourly rate regardless of the total hours worked by the engaged resource. It is the responsibility of the Vendor to adhere to any applicable compensation laws including payment for overtime hours. Do you agree to this requirement?
Question 11
Have you thoroughly validated, and attest to the accuracy of, the credentials listed throughout your candidate's VectorVMS profile and resume pursuant to Section 5.2.5 of ITS-009440?
Question 12
Please provide candidate's current location (City and State), NOT a Yes or No response
Question 13
Please list all the certifications candidate has around Cloud services.
Skills
- AWS
- Azure
- AWS Lambda
- Generative AI
- Bedrock
- SageMaker
- RDS
- DynamoDB
- Amazon Connect
- S3
- CloudFront
- IAM
- Microsoft Entra ID
- Python
- Node.js
- SQL
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