Foundry Cloud Services Developer

Description

Job Details:

Responsibilities

• As a Cloud Application Development Engineer within Intel Manufacturing Foundry Cloud Services (imFCS) , you will design, develop, deploy, and support cloud-native applications that power semiconductor manufacturing, engineering automation, and AI-driven factory operations. You will build scalable, secure, and resilient platforms that improve engineering productivity, enable advanced analytics, and accelerate Intel Foundry's digital transformation.
• Develop and maintain cloud-native applications and services supporting manufacturing and engineering workflows.
• Support 24x7 manufacturing operations through on-call rotations, incident response, and root-cause analysis.
• Design and implement scalable microservices, APIs, and containerization systems utilizing Kubernetes orchestrator and cloud native applications.
• Architect secure cloud solutions spanning application, data, networking, identity, and observability domains.
• Build and maintain CI/CD pipelines, Infrastructure-as-Code, and DevOps automation.
• Provide technical leadership for contractor and partner development teams across multiple geographic regions, driving architecture, implementation, and operational excellence for cloud-native solutions.
• Collaborate with manufacturing, engineering, and software teams to deliver innovative automation solutions.
• Contribute to AI and Agentic AI capabilities that improve factory efficiency and engineering productivity.
• Behavioral Competencies
• Strong collaboration skills in cross-functional and geographically distributed teams.
• Effective written and verbal communication with technical and business stakeholders.
• Ability to influence technical direction and communicate architectural decisions.
• Strong analytical, organizational, and problem-solving skills.
• Demonstrated ownership, accountability, and commitment to operational excellence.
• Thrives in a fast-paced environment supporting mission-critical manufacturing systems.

Requirements

• Minimum Qualifications
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 3+ years of software development experience in C, Python, or similar languages.
• 2+ years of experience with cloud development, containerized applications, and CI/CD pipelines.
• Preferred Qualifications
• Master's degree or PhD in Computer Science, Software Engineering, or a related field.
• Experience with Agentic AI, AI-driven automation, or intelligent workflow systems.
• Working knowledge of Docker and Kubernetes, with experience deploying and supporting scalable microservices and cloud-native applications.
• Experience architecting cloud-native, microservices-based platforms.
• Proficiency with GitHub, GitHub Actions, and modern DevOps practices.
• Familiarity with semiconductor manufacturing, factory automation, or engineering software systems.
• About imFCS
• Intel Manufacturing Foundry Cloud Services (imFCS) builds the cloud platforms and application ecosystem that enable Intel's digital manufacturing strategy. Our team delivers scalable, AI-enabled solutions that accelerate engineering innovation, improve factory operations, and provide the digital foundation for future technology nodes and foundry growth.
• Job Type:
• College Grad
• Shift:
• Shift 1 (United States of America)
• Primary Location:
• US, Oregon, Hillsboro
• Additional Locations:
• US, Arizona, Phoenix
• Posting Statement:
• Position of Trust
• N/A

Benefits

• We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .
• Annual Salary Range for jobs which could be performed in the US: $117,620.00-166,060.00 USD
• The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
• Work Model for this Role
• This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.
• ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.