AWS Cloud Engineer (AI Team)

Allied Consultants, Inc.; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Life insurance

401(K) with company match

Flexible spending

Job summary

Allied Consultants, Inc. is an Austin-based firm with 34+ years of experience delivering top-tier technical and business professionals to Texas state agencies.

We seek an experienced AWS Cloud Engineer (AI Team) to design, build, and deploy AI cloud applications within a high-impact technical services group. You will collaborate with cross-functional teams, integrate AI tools into workflows, and help maintain secure, scalable cloud platforms across the stack.

Qualifications

• 4 years of hands-on experience designing, building, and supporting cloud-native applications on AWS.
• Proficiency with core AWS services such as Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch.
• Experience deploying scalable, highly available, and secure cloud solutions.
• Troubleshoot issues across application, infrastructure, networking, and performance in cloud environments.
• Experience creating and maintaining CI/CD pipelines: AWS Code Pipeline, GitLab CI/CD, Jenkins, or similar platforms.
• Proficiency with IaC: Terraform, CloudFormation, AWS CDK.
• Strong understanding of cloud networking: VPCs, load balancers, DNS, routing, security groups.
• Experience with Docker and Fargate (ECS preferred).
• Strong scripting: Python, PowerShell, Bash.
• Knowledge of cloud security, monitoring, logging, and ops: IAM, observability, incident response, performance optimization.
• Familiarity with AI/ML frameworks or AI-powered development tools.
• Knowledge of cloud platforms and containerization is a plus.

Responsibilities

• Collaborate with cross-functional teams to deliver scalable and secure solutions.
• Integrate AI tools and techniques into application workflows for automation, predictive analytics, and intelligent features.
• Participate in code reviews, ensure adherence to best practices, and mentor junior developers.
• Troubleshoot and resolve complex technical issues across the stack.

Skills

AWS cloud

Lambda

API Gateway

ECS/Fargate

EC2

S3

DynamoDB

IAM

VPC

CloudWatch

CI/CD

Terraform

CloudFormation

AWS CDK

Networking

Docker

Fargate

Python

PowerShell

Bash

Observability

Incident response

Performance tuning

AI/ML familiarity

Tools

Terraform

CloudFormation

AWS CDK

GitLab CI/CD

Jenkins

Git

Job description

Overview

Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience AWS Cloud Engineer (AI Team) to play a key role within a high-impact technical services team.

At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:

• Highly competitive pay rates
• Local support staff for responsive, personal service
• Comprehensive benefits package, including:
  • Medical insurance (with employer cost sharing)
  • Life insurance
  • A 401(K) plan with company match
  • Flexible spending through a cafeteria plan

Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.

Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

We are seeking a talented and innovative AI Cloud Engineer to join our team. As part of the AI Technical Team, you will design, build, and deploy AI cloud applications and support AI cloud platforms using cloud native services. This includes troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.

If you are passionate about artificial intelligence and innovation, we’d love to hear from you!

• Collaborate with cross-functional teams to deliver scalable and secure solutions.
• Integrate AI tools and techniques into application workflows for automation, predictive analytics, and intelligent features.
• Participate in code reviews, ensure adherence to best practices, and mentor junior developers.
• Troubleshoot and resolve complex technical issues across the stack.

Qualifications

Minimum (Required):

Years

Skills/Experience

4

Strong hands-on experience designing, building, and supporting cloud-native applications on AWS

4

Proficiency with core AWS services such as Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch

4

Experience developing, deploying, and maintaining scalable, highly available, and secure cloud solutions.

4

Expertise in troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.

4

Experience creating and maintaining CI/CD pipelines using tools such as AWS Code Pipeline, GitLab CI/CD, Jenkins, or similar platforms.

4

Proficiency with Infrastructure as Code (IaC) technologies such as Terraform, CloudFormation, or AWS CDK.

4

Strong understanding of cloud networking concepts including VPCs, load balancers, DNS, routing, security groups, and connectivity troubleshooting.

4

Experience with containerization and orchestration technologies such as Docker and Fargate (ECS preferred).

4

Strong scripting and automation skills using Python, PowerShell, Bash, or similar languages to improve operational efficiency.

4

Knowledge of cloud security, monitoring, logging, and operational best practices, including IAM, observability, incident response, and performance optimization.

Preferred (Optional):

Years

Skills/Experience

Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or AI-powered development tools (e.g., GitHub Copilot, ChatGPT-based coding assistants).

Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).

Understanding of CI/CD pipelines and version control (Git).

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