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AI Cloud Engineer

DEVHAWK LLC
Atlanta, GA, United States
14 days ago
Apply on www.indeed.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$100,000.0 - $140,000.0
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Databases Continuous Integration Github Software Engineering Software Factory Google Cloud Cloudformation Terraform
+1 more
Serverless Computing

Job description

  • Audit and improve clients’ cloud infrastructure on AWS, Azure, or GCP
  • Build software solutions for clients using AI (ClaudeCode, Codex, etc) to accelerate productivity across the tech stack - front end, server/serverless tier, database, and cloud
  • Interact with clients to understand requirements and help formulate technical solutions
  • Help build internal solutions and enhance the DevHawk Software Factory

Requirements

  • Comfortable working in ambiguity
  • Proficiency with using AI coding assistants (Claude Code or Codex) and working at the speed of AI
  • Experience with Terraform and similar (CDK, CloudFormation) and IAC use in AWS, Azure and GCP
  • Knowledge of Github Actions and other modern CI/CD approaches
  • Strong organizational skills to juggle multiple clients simultaneously

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

8:08 min

Building AI applications at the AWS football hackathon

Chris Heilmann +1 · LIVE

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

Videos

See all
Infrastructure as Code: The Developer's Secret Weapon thumbnail
45:04
LIVE • almost 2 years ago

Infrastructure as Code: The Developer's Secret Weapon

Hennie Francis

Innovating Developer Tools with AI: Insights from GitHub Next thumbnail
42:38
LIVE • almost 2 years ago

Innovating Developer Tools with AI: Insights from GitHub Next

Krzystof Czieslak

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • over 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 4 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models thumbnail
27:07
World Congress 2025 • about 1 year ago

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models

Kevin Lewis, Sandra Ahlgrimm

Reference Architecture of AI in the Cloud thumbnail
27:57
World Congress 2025 • about 1 year ago

Reference Architecture of AI in the Cloud

Radu Vunvulea

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