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Azure Net Developer Remote Jobs in Missouri (NOW HIRING)

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113.30K - $136.10K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... Key Responsibilities Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113.30K - $136.10K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... Key Responsibilities • Design, build, and optimize ETL/ELT pipelines using Azure Synapse ...

Deloitte

Databricks Engineer

Kansas City, MO · On-site +1

Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Engineer

Saint Louis, MO · On-site +1

Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Jobgether

... flexible, remote-first environment focused on engineering excellence and continuous growth ... Deep expertise with cloud platforms, preferably Microsoft Azure, including infrastructure design ...

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Azure Net Developer Remote information

What are the key skills and qualifications needed to thrive as an Azure .NET Developer in a remote setting, and why are they important?

To thrive as an Azure .NET Developer remotely, you need strong proficiency in C#, .NET frameworks, and cloud computing concepts, typically supported by a degree in computer science or related field. Experience with Microsoft Azure services, DevOps pipelines, and relevant certifications like Azure Developer Associate are highly valued. Excellent problem-solving, self-management, and effective communication skills are crucial for collaborating with distributed teams and managing tasks independently. These competencies ensure the delivery of robust, scalable cloud applications and seamless remote teamwork.

What are the main challenges faced by remote Azure .NET Developers, and how can they be addressed?

Remote Azure .NET Developers often face challenges such as coordinating with distributed teams, managing cloud-based deployments, and ensuring security best practices are followed. Effective communication tools, regular virtual check-ins, and clear documentation can help bridge collaboration gaps. Staying up to date with Azure's evolving services and leveraging DevOps pipelines also streamline deployment and maintenance. Proactively addressing these challenges fosters productivity and seamless integration within remote teams.

What is an Azure .NET Developer (Remote)?

An Azure .NET Developer (Remote) is a software developer who specializes in building, deploying, and maintaining applications using Microsoft’s .NET technologies on the Azure cloud platform, all while working from a remote location. These professionals use tools like C#, ASP.NET, and Azure services to create scalable, cloud-based applications. Their responsibilities often include designing cloud architecture, writing code, integrating APIs, and ensuring security and performance of applications hosted on Azure. They collaborate with teams remotely using tools like Azure DevOps, Git, and various communication platforms.

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

AspectAzure Net Developer RemoteAzure Cloud Engineer
Required CertificationsAzure Developer Associate, Azure Solutions ArchitectAzure Solutions Architect, Azure DevOps Engineer
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, infrastructure-focused
Industry UsageSoftware development, application deploymentCloud infrastructure, system management
Common Search IntentDevelopment tasks, coding, app deploymentInfrastructure setup, cloud architecture

Azure Net Developer Remote primarily focuses on developing and deploying cloud-based applications using Azure services, emphasizing coding and software solutions. In contrast, Azure Cloud Engineer involves managing and optimizing cloud infrastructure, often with a broader scope including system architecture and deployment. Both roles are in high demand and often work remotely, but their core responsibilities differ, making it important to choose based on your skills and career goals.

What are the most commonly searched types of Azure Net Developer jobs in Missouri? The most popular types of Azure Net Developer jobs in Missouri are:
What are popular job titles related to Azure Net Developer Remote jobs in Missouri? For Azure Net Developer Remote jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Azure Net Developer Remote jobs in Missouri look for? The top searched job categories for Azure Net Developer Remote jobs in Missouri are:
What cities in Missouri are hiring for Azure Net Developer Remote jobs? Cities in Missouri with the most Azure Net Developer Remote job openings:
Azure Net Developer Remote jobs near you
Infographic showing various Azure Net Developer Remote job openings in Missouri as of May 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Columbia, MO • Remote

Other

Posted 7 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