Software Engineer: AI-Driven Data & Cloud Apps

Micron Technology, Inc

Boise (ID)

On-site

USD 90,000 - 110,000

Full time

11 days ago

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Benefits offered by this job

Medical/Dental/Vision plans
Paid time off
Paid holidays
Retirement/Benefit programs

Job summary

Micron Technology, Inc. in Idaho is seeking a New College Grad - Software Engineer to contribute to enterprise-grade data solutions and APIs.

You will design, develop, test, and deploy scalable applications while collaborating with cross-functional teams. The role emphasizes modern architectures, cloud deployments on Azure/AWS, containerization, and exposure to Generative AI and Agentic AI concepts to drive business value.

Qualifications

  • Bachelor's or Master's in Computer Science, Software Engineering, IT, or related field.
  • Strong knowledge of data structures, algorithms, and OOP.
  • Experience programming in C# or Python.
  • Experience with SQL and relational/noSQL/graph databases.
  • Experience developing web apps, REST APIs, cloud apps, or Generative AI solutions.

Responsibilities

  • Design, develop, test, and maintain data-driven apps, APIs, and integrations.
  • Build apps using relational, NoSQL, and graph databases with performance in mind.
  • Develop and deploy cloud-based solutions on Azure or AWS with containers.
  • Collaborate on Generative AI, Agent, and AI-Enabled apps leveraging RAG concepts.
  • Participate in code reviews, deployments, and continuous improvement.

Skills

DS & Algorithms
C# / Python
REST APIs
Cloud (Azure / AWS)
Docker
JavaScript / React
OAuth 2.0 / Entra
OO principles

Education

Bachelor's/Master's in CS/SE

Tools

Docker
Snowflake
Tableau/Power BI
Azure
AWS

Job description

Micron Technology, Inc. in Idaho is seeking a New College Grad - Software Engineer to contribute to enterprise-grade data solutions and APIs.

You will design, develop, test, and deploy scalable applications while collaborating with cross-functional teams. The role emphasizes modern architectures, cloud deployments on Azure/AWS, containerization, and exposure to Generative AI and Agentic AI concepts to drive business value.

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