Stay ahead of advancements in AI/ML and integrate emerging techniques into the MLOps lifecycle ... Hands-on experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined ...
Stay ahead of advancements in AI/ML and integrate emerging techniques into the MLOps lifecycle ... Hands-on experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Integrate pre-trained models or build custom models for specific use cases. Automation Design and ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
Cloud Network Architect
Meridian, ID · Hybrid
$61.25 - $78/hr
Integrate cloud network builds into CI/CD workflows including automated testing and promotion ... engineering and architecture experience. * Deep expertise in Microsoft Azure networking. * Strong ...
Cloud Network Architect
Meridian, ID · Hybrid
$61.25 - $78/hr
Integrate cloud network builds into CI/CD workflows including automated testing and promotion ... engineering and architecture experience. * Deep expertise in Microsoft Azure networking. * Strong ...
Position Overview
Meridian, ID · On-site
Engineer and maintain preventive and detective controls across endpoints, servers, network ... Cloud security controls experience in Azure and/or AWS (IAM, network controls, logging, security ...
Position Overview
Meridian, ID · On-site
Engineer and maintain preventive and detective controls across endpoints, servers, network ... Cloud security controls experience in Azure and/or AWS (IAM, network controls, logging, security ...
Cloud Network Architect
Meridian, ID · Hybrid
$61.25 - $78/hr
Integrate cloud network builds into CI/CD workflows including automated testing and promotion ... engineering and architecture experience. * Deep expertise in Microsoft Azure networking. * Strong ...
Cloud Network Architect
Meridian, ID · Hybrid
$61.25 - $78/hr
Integrate cloud network builds into CI/CD workflows including automated testing and promotion ... engineering and architecture experience. * Deep expertise in Microsoft Azure networking. * Strong ...
Azure Integration Developer information
See Idaho salary details
$28.72 - $33.12
2% of jobs
$33.12 - $37.52
3% of jobs
$37.52 - $41.93
8% of jobs
$45.56 is the 25th percentile. Wages below this are outliers.
$41.93 - $46.33
14% of jobs
$46.33 - $50.73
14% of jobs
The median wage is $53.06 / hr.
$50.73 - $55.13
17% of jobs
$58.89 is the 75th percentile. Wages above this are outliers.
$55.13 - $59.53
20% of jobs
$59.53 - $63.93
11% of jobs
$63.93 - $68.33
7% of jobs
$68.33 - $72.73
3% of jobs
$72.73 - $77.13
1% of jobs
$28
$54
$77
How much do azure integration developer jobs pay per hour?
What are the key skills and qualifications needed to thrive as an Azure Integration Developer?
To thrive as an Azure Integration Developer, you need strong skills in cloud integration, application development, and familiarity with Azure services, ideally supported by a degree in Computer Science or related fields. Experience with tools like Azure Logic Apps, Azure Functions, API Management, and certifications such as Microsoft Certified: Azure Developer Associate are highly valuable. Effective problem-solving, communication, and teamwork skills are essential to navigate complex integration projects and collaborate across departments. These competencies are critical for designing seamless integrations that meet business needs and ensure reliable, scalable solutions.
What is an Azure Integration Developer?
An Azure Integration Developer is responsible for designing, implementing, and managing cloud-based integration solutions using Microsoft Azure services. They work with tools like Azure Logic Apps, Azure Functions, API Management, and Service Bus to connect different applications and data sources. Their role involves building scalable and secure integrations, troubleshooting connectivity issues, and optimizing workflows. They collaborate with development teams, architects, and business stakeholders to ensure seamless data exchange across systems.
What are the typical responsibilities of an Azure Integration Developer?
As an Azure Integration Developer, your daily responsibilities often include designing, developing, and maintaining integration solutions using Azure cloud components like Logic Apps, Service Bus, and API Management. You'll collaborate closely with both software development teams and business stakeholders to understand requirements and translate them into technical solutions. Troubleshooting and optimizing existing integrations, ensuring data flows reliably and securely between applications, is also a routine part of the job. Additionally, you may participate in code reviews, provide technical guidance to junior team members, and stay up to date with evolving Azure platform features.
Full-time
Medical, Dental, Vision, PTO
Re-posted 20 days ago
Micron Technology rating
8.6
Based on 43 frontline employees who took The Breakroom Quiz
27th of 156 rated electronics manufacturers
Job description
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Smart Manufacturing and AI team at Micron Technology is looking for an ambitiousMachine LearningEngineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us!
Our mission is to enabletodeliver industry-winning machine learning solutions to power Micron's dominance in the highlycompetitivememory solutions market. Qualified applicants willhave experiencein a variety of dataand cloudtechnologies and have extensive practice modeling data, querying, anddeployingscalable pipelinestoexecute machine learning models. You will collaborate with Data Scientists,MLEngineers, DataEngineers, andexpert userstobuild and deployscalableAI/ML solutions that drive value and insight fromMicron'smanufacturing processes and systems.
Responsibilities:
Analyze large datasets to uncover patterns, trends, and insights that inform and improve machine learning models.
Design, build, and continuously refine ML models to address business challenges and enhance product capabilities.
Stay ahead of advancements in AI/ML and integrate emerging techniques into the MLOps lifecycle.
Build and maintain robust, scalable data pipelines and infrastructure to support model training and deployment.
Collaborate on data preprocessing and feature engineering to improve input data quality and model performance.
Design and optimize data architectures across cloud platforms (Snowflake, GCP, Azure) for AI/ML use cases.
Develop custom applications and implement CI/CD pipelines to support efficient ML solution deployment.
Deploy, evaluate, and monitor models in production, balancing performance with cost efficiency and enabling continuous improvement.
Partner with Product and Engineering teams to define and execute Generative AI integration strategies and roadmaps.
Communicate insights and collaborate multi-functionally, translating complex analytics into actionable recommendations for diverse collaborators.
Minimum Qualifications:
Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning with 3+ years building end-to-end ML systems on cloud platforms, automating model training, testing, and deployment.
Strong experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and core techniques including regression, classification, deep learning, reinforcement learning, and generative AI.
Proficient in Python or Java, with experience developing APIs and event-driven pipelines using Kafka, Pub/Sub, or similar messaging systems.
Skilled in scalable data engineering, including ETL/ELT pipelines (Kubeflow, Airflow, Dataflow), SQL, and data architecture design.
Hands-on experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined with strong analytical, communication, and collaboration skills.
Preferred Qualifications:
Strong foundation in machine learning and deep learning, with solid grounding in probability and statistics.
Proven ability to productionize data science prototypes into scalable, real-world solutions.
Hands-on experience building Generative AI solutions and intelligent agents (LangChain/LangGraph, CrewAI, DsPy, Semantic Kernel, ADK).
Expertise in semantic search and retrieval systems, including RAG, GraphRAG, NLP, prompt engineering, and LLM fine-tuning/evaluation.
Experience with end-to-end data and engineering workflows: ETL pipelines, big data processing, databases (BigQuery, Snowflake, MSSQL, PostgreSQL), and CI/CD tools (Git, Docker, Kubernetes, Jenkins).
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
What Micron Technology employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Micron Technology
Sourced by ZipRecruiter
Industry
Semiconductor and electronic component manufacturing
Company size
10,000+ Employees
Headquarters location
Boise, ID, US
Year founded
2019