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Azure Developer Operations Engineer Jobs in Wyoming

Polaris, Inc.

$88K - $130K/yr

The Senior Manufacturing Engineer, Paint leads manufacturing readiness and launch execution for new ... Focused on paint and related back shop operations, this role develops processes, labor plans ...

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Azure Developer Operations Engineer information

What is an Azure Developer Operations Engineer?

Azure Developer Operations Engineers, often referred to as Azure DevOps Engineers, are IT professionals who specialize in automating, deploying, and managing applications and infrastructure on Microsoft Azure cloud services. They work at the intersection of development and operations, implementing continuous integration and continuous delivery (CI/CD) pipelines, monitoring systems, managing cloud resources, and ensuring application reliability and scalability. Their role often involves collaborating with developers, system administrators, and other stakeholders to streamline software delivery and improve operational efficiency using Azure tools and services.

What are the key skills and qualifications needed to thrive as an Azure Developer Operations Engineer?

To thrive as an Azure Developer Operations Engineer, you need expertise in cloud computing, infrastructure as code, automation, and strong knowledge of Microsoft Azure services, often supported by a relevant degree and Azure certifications such as AZ-400. Familiarity with DevOps tools like Azure DevOps, PowerShell, ARM templates, and CI/CD pipelines is typically required. Strong problem-solving, communication, and collaboration skills set top performers apart in this role. These skills are crucial for ensuring reliable, scalable deployments and seamless collaboration between development and operations teams in cloud environments.

What are some common challenges faced by Azure Developer Operations Engineers when implementing CI/CD pipelines?

Azure Developer Operations Engineers often encounter challenges such as integrating diverse tools and technologies, managing permissions and security across multiple environments, and ensuring smooth automation of deployments. Troubleshooting pipeline failures and optimizing build and release times are also frequent tasks, requiring strong problem-solving skills and attention to detail. Collaboration with development, QA, and IT teams is crucial to address environment inconsistencies and to align deployment processes with business needs.

What is the difference between Azure Developer Operations Engineer vs Azure Cloud Engineer?

AspectAzure Developer Operations EngineerAzure Cloud Engineer
CertificationsAzure DevOps, Azure Solutions ArchitectAzure Administrator, Azure Solutions Architect
Primary FocusDevOps practices, CI/CD pipelines, automationCloud infrastructure, deployment, and management
Work EnvironmentDevelopment teams, DevOps pipelines, automation toolsCloud infrastructure, network setup, resource provisioning
Industry UsageSoftware development, DevOps teams, SaaS companiesIT infrastructure, cloud services, enterprise solutions

The Azure Developer Operations Engineer primarily focuses on integrating development and operations through automation, CI/CD pipelines, and DevOps practices. In contrast, the Azure Cloud Engineer concentrates on managing and deploying cloud infrastructure and resources. Both roles require Azure certifications and are vital in cloud-based organizations, but their core responsibilities differ in scope and focus.

What cities in Wyoming are hiring for Azure Developer Operations Engineer jobs?

Cities in Wyoming with the most Azure Developer Operations Engineer job openings:

Azure Developer Operations Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Cheyenne, WY • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 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