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13 results (2 new)

AWS DevOps Engineer

Merican Inc

Atlanta, Georgia • Today

Easy Apply

Contract, Third Party

Depends on Experience

AI-Enabled Automation Test Engineer

Merican Inc

Atlanta, Georgia • Today

Easy Apply

Contract, Third Party

Depends on Experience

Project Manager

Merican Inc

Boise, Idaho • 3d ago

Easy Apply

Contract, Third Party

$60 - $65

SIEM Engineer

Merican Inc

Hybrid in Harrisburg, Pennsylvania • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

Lead Developer/Technical Lead

Merican Inc

Hybrid in Atlanta, Georgia • 17d ago

Easy Apply

Contract, Third Party

$65 - $70

AI Governance Lead - Healthcare / Life Sciences

Merican Inc

Hybrid in Houston, Texas • 10d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Principal AI Architect

Merican Inc

Hybrid in Atlanta, Georgia • 11d ago

Easy Apply

Contract, Third Party

Depends on Experience

Atlassian Migration Engineer

Merican Inc

Remote • 5d ago

Easy Apply

Third Party, Contract

$60 - $65

Product Owner/Product Manager

Merican Inc

Hybrid in Summit, New Jersey • 14d ago

Easy Apply

Contract, Third Party

Depends on Experience

Lead Data & AI Architect - Google Cloud Platform

Merican Inc

Charlotte, North Carolina • 7d ago

Easy Apply

Contract, Third Party

$70 - $80

Senior Staff Engineer (individual contributor)

Merican Inc

Remote • 27d ago

Easy Apply

Contract

$80 - $85

Oracle PL/SQL Developer

Merican Inc

Remote • 13d ago

Easy Apply

Third Party, Contract

$45 - $50

Snowflake Data Engineer - Washington DC - Hybrid

Merican Inc

Hybrid in Washington, District of Columbia • 7d ago

Easy Apply

Contract, Third Party

$55 - $60

Merican Inc

Job Details

Skills

AWS
DevOps
cloud infrastructure
AWS CDK
AI-assisted
Infrastructure as Code (IaC)

Summary

Role :- AWS DevOps Engineer (AI-Enabled Cloud Platform)

Location :- Atlanta, GA (5 days onsite in a week)
F2F interview mandatory

Job Description :-

Role Summary

We are seeking an experienced AWS DevOps Engineer to design, automate, and manage cloud infrastructure and software delivery pipelines. The ideal candidate will have expertise in AWS, GitHub Actions, AWS CDK, Infrastructure as Code, and automated testing, along with hands-on experience leveraging AI-assisted development tools to improve engineering productivity, automation, and delivery speed.

Key Responsibilities

Design, build, and maintain scalable and secure AWS cloud infrastructure.
Develop and manage CI/CD pipelines using GitHub Actions within the client's enterprise GitHub environment.
Implement Infrastructure as Code (IaC) using AWS CDK.
Automate build, test, deployment, and release processes.
Develop and maintain automated test harnesses and quality gates.
Monitor, troubleshoot, and optimize cloud infrastructure and deployment pipelines.
Collaborate with engineering teams to improve reliability, security, and delivery velocity.
Leverage AI tools to accelerate automation, troubleshooting, scripting, and platform engineering activities.

Required Skills

AWS Cloud & Infrastructure

AWS services including Lambda, EC2, S3, IAM, CloudWatch, VPC, API Gateway, EventBridge, SNS/SQS.
Experience designing secure, scalable, and highly available cloud solutions.

Infrastructure as Code

Strong hands-on experience with AWS CDK.
Infrastructure provisioning, configuration management, and environment automation.

CI/CD & Automation

GitHub Actions.
Enterprise GitHub Actions pipelines.
Automated build, deployment, and release management.
CI/CD pipeline optimization and troubleshooting.

AI-Assisted DevOps (Mandatory)

Hands-on experience with GitHub Copilot, Claude, Cursor, or similar AI-powered engineering tools.
Ability to leverage AI for:
- CI/CD pipeline development and optimization
- Infrastructure automation and scripting
- Troubleshooting and root cause analysis
- Test automation generation
- Documentation and operational runbooks
Experience working in an AI-first engineering environment where AI is used to improve productivity, quality, and deployment speed.
Understanding of governance, validation, and security considerations when using AI-generated code and scripts.

What We Are Looking For

Strong automation-first mindset.
Excellent troubleshooting and problem-solving skills.
Proven experience in a real Agile/Scrum environment.
Passion for cloud-native technologies, DevOps automation, and AI-assisted engineering.
Ability to drive reliable, secure, and scalable software delivery.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1ca091
Position Id: 2980-12203-1791815442
Posted 17 hours ago

Company Info

About Merican Inc

With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Our full-service offering and flexible delivery choices that combine cost, quality, effort, and risk are focused on addressing future issues for our customers. Our worldwide delivery method enables our customers to select the optimal supply plan for them.

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Contact the job poster

Aravind Sama

President - Merican Inc. @ Merican Inc

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Merican Inc

Job Details

Skills

AWS
DevOps
cloud infrastructure
AWS CDK
AI-assisted
Infrastructure as Code (IaC)

Summary

Role :- AWS DevOps Engineer (AI-Enabled Cloud Platform)

Location :- Atlanta, GA (5 days onsite in a week)
F2F interview mandatory

Job Description :-

Role Summary

Key Responsibilities

Design, build, and maintain scalable and secure AWS cloud infrastructure.
Develop and manage CI/CD pipelines using GitHub Actions within the client's enterprise GitHub environment.
Implement Infrastructure as Code (IaC) using AWS CDK.
Automate build, test, deployment, and release processes.
Develop and maintain automated test harnesses and quality gates.
Monitor, troubleshoot, and optimize cloud infrastructure and deployment pipelines.
Collaborate with engineering teams to improve reliability, security, and delivery velocity.
Leverage AI tools to accelerate automation, troubleshooting, scripting, and platform engineering activities.

Required Skills

AWS Cloud & Infrastructure

AWS services including Lambda, EC2, S3, IAM, CloudWatch, VPC, API Gateway, EventBridge, SNS/SQS.
Experience designing secure, scalable, and highly available cloud solutions.

Infrastructure as Code

Strong hands-on experience with AWS CDK.
Infrastructure provisioning, configuration management, and environment automation.

CI/CD & Automation

GitHub Actions.
Enterprise GitHub Actions pipelines.
Automated build, deployment, and release management.
CI/CD pipeline optimization and troubleshooting.

AI-Assisted DevOps (Mandatory)

Hands-on experience with GitHub Copilot, Claude, Cursor, or similar AI-powered engineering tools.
Ability to leverage AI for:
- CI/CD pipeline development and optimization
- Infrastructure automation and scripting
- Troubleshooting and root cause analysis
- Test automation generation
- Documentation and operational runbooks
Experience working in an AI-first engineering environment where AI is used to improve productivity, quality, and deployment speed.
Understanding of governance, validation, and security considerations when using AI-generated code and scripts.

What We Are Looking For

Strong automation-first mindset.
Excellent troubleshooting and problem-solving skills.
Proven experience in a real Agile/Scrum environment.
Passion for cloud-native technologies, DevOps automation, and AI-assisted engineering.
Ability to drive reliable, secure, and scalable software delivery.

Dice Id: RTX1ca091
Position Id: 2980-12203-1791815442
Posted 17 hours ago