Remote Aws cloud support engineer Jobs – 269 Open Jobs Today

Remote AI Engineer
Teamficient —Remote
- Up to ₹1,500 a month
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
Quick apply
Site Reliability Engineer (SRE)
TECH NEXT —Remote
- ₹70,000 - ₹90,000 a month
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
2d
Site Reliability Engineer
Intelex —Remote
- Remote
- Azure
- Computer Science
- Windows
5d
AWS Cloud Security Engineer
Umbrella Infocare —Remote
- Remote
- AWS
- Bachelor's degree
- Computer networking
Engineering Delivery and Excellence Manager
Wondrfly Inc. —Remote
- ₹1,00,000 - ₹1,50,000 a month
- Full-time
- Remote
- AWS
- Project management
- Software development
- Work from home
Quick apply
1d
AWS Cloud Engineer – Cybersecurity Labs & CTF Development
Jyotirgamay Solutions Pvt Ltd —Remote
- From ₹20,000 a month
- Email
- Remote
- Computer Science
- DevOps
- AWS
Quick apply
SRE - AWS/Azure
TECH NEXT —Remote
- ₹70,000 - ₹95,000 a month
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
1d
DevOps Engineer
Silverlume HR Management —Remote
- ₹1,30,000 - ₹1,40,000 a month
- Full-time
- DevOps
- Scripting
Quick apply
9d
Backend Engineer
GreenChoice, PBC —Remote
- ₹15,000 - ₹20,000 a year
- Full-time
- Remote
- DevOps
- Databases
- SQL
- Flexible schedule
Quick apply
12d
Python Engineer
ScaleReal Technologies —Remote
- Full-time
- Remote
- Azure
- AWS
- JavaScript
Infrastructure Engineer
Hyland Software —Remote
- Remote
- Azure
- Windows
- AWS
2d
DevOps Engineer
Meazure Learning —Remote
- Remote
- Azure
- DevOps
- AWS
- Health insurance
Staff Database Reliability Engineer ( MYSQL + Cloud)- Remote
Rackspace —Remote
- Full-time
- Remote
- Azure
- SQL
- AWS
- Work from home
DevOps Engineer – Cloud Automation & IT Infrastructure (WFH)
Outsource Bigdata —Remote
- ₹4,00,000 - ₹8,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Work from home
Operations Engineer, Senior (Azure DevOps, AWS Serverless)
CSG —Remote
- Email
- Remote
- Azure
- Computer Science
- DevOps
DevOps Engineer
Technology Next —Remote
- ₹80,000 - ₹90,000 a month
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Digital Automation Engineer
Fractal31 —Remote
- ₹14,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- DevOps
- Java
- SQL
- Work from home
Quick apply
Solutions Support Engineer
Wiz —Remote
- Weekend availability
- Remote
- Azure
- Software troubleshooting
- Java
12d
Site Reliability Engineer
DigitalXC —Remote
- Remote
- Azure
- DevOps
- AWS
Salesforce Health Cloud
Hanivisu Technologies —Remote
- ₹1,00,000 - ₹1,20,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Salesforce
- Work from home
Quick apply
6d

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Remote AI Engineer

Teamficient
Remote

Quick apply

Job details

Full-time
Up to ₹1,500 a month

Qualifications

CI/CD
Cloud infrastructure
Azure
Go
Law
Doctoral degree
Computer Science
Kubernetes
Software deployment
Java
Master's degree
Databases
AWS
Docker
Machine learning
JavaScript
Terraform
Continuous integration
AI
TypeScript
Python

Full job description

AI Developer/Engineer

Company: TeamFicient

Location: Remote

Employment Type: Full-Time

Salary Range: Up to $1,500

Work Schedule:

Time Range: Between 7 AM and 7 PM CST
Working Hours: 9 hours per day (8 working hours + 1-hour break)
Days Off: TBD (2 days per week)

Why Join Us?

At Teamficient, our team spans multiple countries and regions, and we stay connected by operating within EST, CST, and PST time zones.

Work Without Borders: Collaborate daily with experts from around the world and gain international exposure.
Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust.
Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength.
Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.

About the Role

TeamFicient is looking for an experienced AI Developer/Engineer to design, build, and scale production-grade AI applications that deliver real value to our clients. You'll work at the intersection of applied AI, backend engineering, and cloud infrastructure, building systems that are robust, reliable, and ready for the real world. If you have a proven track record of shipping LLM and RAG-based systems in production, this role is for you.

Core Responsibilities

AI Application Development

Design and build AI-powered applications using LLMs, RAG architectures, and other applied AI systems
Develop and maintain backend services that support AI platforms and integrate seamlessly with cloud infrastructure
Build and maintain integrations across various applications to extend AI capabilities

Cloud and Infrastructure

Deploy, optimize, monitor, and troubleshoot AI solutions on AWS, Azure, and/or GCP
Implement containerization and orchestration strategies using Docker and Kubernetes
Ensure AI systems meet performance, scalability, and reliability standards in production

Architecture and Collaboration

Design scalable AI architectures that translate business requirements into technical solutions
Collaborate with cross-functional teams throughout the full development lifecycle
Contribute to code reviews, technical documentation, and engineering best practices

Candidate Qualifications

Must-Haves

5+ years of professional experience in AI engineering, machine learning, or software engineering with an AI focus, including production deployments and strong proficiency in Python and AI/ML frameworks, with a degree in Computer Science, Engineering, or equivalent practical experience
2-3 years of hands-on experience with LLMs and RAG architectures in production environments, including vector databases
3+ years of experience with cloud platforms, AWS, Azure, or GCP
2+ years of experience with Docker and Kubernetes for containerization and orchestration

Good to Haves

Familiarity with MLOps practices and tools for model deployment and monitoring
Knowledge of additional programming languages such as Go, Java, or JavaScript/TypeScript
Experience with CI/CD pipelines and infrastructure as code (Terraform, CloudFormation)
Contributions to open-source AI/ML projects or active participation in the AI community
Master's degree or PhD in Computer Science, Machine Learning, AI, or a related field

Application Requirement

To be considered for this position, you must submit your application through our Careers Page: https://zurl.to/bW4Y?source=CareerSite
Applications submitted through any other channel, including direct email submissions, will not be accepted or reviewed. This is a firm, non-negotiable requirement.

Work Location: Remote

Quick apply

Refine Your Search

aws cloud support engineer jobs in remote

Remote AI Engineer

Site Reliability Engineer (SRE)

Site Reliability Engineer

AWS Cloud Security Engineer

Engineering Delivery and Excellence Manager

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Operations Engineer, Senior (Azure DevOps, AWS Serverless)

DevOps Engineer

Digital Automation Engineer

Solutions Support Engineer

Site Reliability Engineer

Salesforce Health Cloud

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