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Remote Azure Integration Developer Jobs in Georgia

StackandCo

Net Developer that has experience with ... Net Core, Azure, SQL & React to join our client in Dublin for a remote contract (should be based in ...

StackandCo

$46.50 - $61.50/hr

Bonus Points for: .Net Core Azure, AWS, Angular, Blazor, React, TypeScript, Microservices, TDD ... Benefits package \n * 100% remote working and flexible hours \n \n \n \n \n \n

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

Integrate LLM endpoints (Azure OpenAI, AWS, or equivalent) with enterprise systems using MCP and ... Remote or Hybrid Travel Expectations: None Education: Bachelor's or Master's degree in Computer ...

StackandCo

$47 - $59.75/hr

... fully remote but this may change if restrictions ease. For this reason, only candidates based in ... Net Development experience \n * Experience with Azure & .NET Core \n * Experience with Web ...

BSC Analytics

$150K - $175K/yr

Remote (USA) Compensation: $150,000 - $175,000 / year Description As a Senior Platform Engineer at ... DevOps transformations across both Azure and AWS - which means no two engagements look exactly ...

Womble Bond Dickinson

Software Engineer

Atlanta, GA · On-site +1

$72K - $121K/yr

Integrate data from legacy SQL Server environments (SSRS, SSAS) and third-party systems using Azure ... Use Git and Azure DevOps for version control, release management, and collaboration REQUIREMENTS:

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Remote Azure Integration Developer information

What is the difference between Remote Azure Integration Developer vs Remote Cloud Solutions Engineer?

AspectRemote Azure Integration DeveloperRemote Cloud Solutions Engineer
Required CertificationsAzure Developer Associate, Azure Solutions ArchitectAzure Solutions Architect, AWS Certified Solutions Architect
Work EnvironmentDeveloping and integrating Azure services, working with APIs, data flowsDesigning cloud architectures, deploying solutions across multiple platforms
Employer & Industry UsageTech companies, consulting firms, enterprises using AzureCloud service providers, large enterprises, multi-cloud environments

The Remote Azure Integration Developer primarily focuses on developing and integrating Azure services, APIs, and data workflows within organizations using Azure cloud platform. In contrast, the Remote Cloud Solutions Engineer designs and deploys comprehensive cloud architectures, often across multiple cloud providers. While both roles require cloud certifications and involve cloud-based work, the Integration Developer specializes in Azure-specific integrations, whereas the Solutions Engineer has a broader scope across cloud solutions.

How does a remote Azure integration developer typically collaborate with cross-functional teams when working on cloud integration projects?

As a Remote Azure Integration Developer, collaboration with cross-functional teams—such as architects, business analysts, QA testers, and project managers—is essential. Communication is often managed through virtual meetings, project management tools, and shared documentation platforms to ensure all stakeholders are aligned on integration requirements and project milestones. Developers are expected to provide regular updates, participate in code reviews, and coordinate deployments with other team members. This collaborative approach helps address technical challenges early and ensures seamless integration of cloud solutions within the broader business environment.

What are the key skills and qualifications needed to thrive as a remote Azure integration developer?

To thrive as a Remote Azure Integration Developer, you need a strong background in software development, cloud computing, and integration patterns, typically supported by experience with Azure services and relevant computer science education. Familiarity with Azure Logic Apps, Azure Functions, API Management, and certifications like Microsoft Certified: Azure Developer Associate are highly valuable. Excellent problem-solving, communication, and self-management skills help you collaborate effectively with remote teams and clients. These skills and qualifications are crucial for building scalable, secure integrations that meet business needs in distributed environments.

What is a remote Azure integration developer?

A Remote Azure Integration Developer is a software professional who specializes in designing, building, and maintaining cloud-based integration solutions using Microsoft Azure services, while working from a remote location. They typically connect different applications, data sources, and business processes using Azure tools such as Logic Apps, Azure Functions, and Service Bus. Their role often involves collaborating with cross-functional teams to ensure seamless data flow and system interoperability. Working remotely, they leverage cloud technologies to support businesses in automating workflows, improving connectivity, and enhancing scalability.
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Remote Azure Integration Developer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Carrollton, GA • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply