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Principal Full Stack Cloud & AI Software Engineer

Synopsys
$163000-$245000
United States, California, Mountain View
700 East Middlefield Road (Show on map)
May 07, 2025

OPEN TO HIRING IN HILLSBORO-OR, IRVINE-CA, or SAN DIEGO-CA

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are: A seasoned professional with over 12 years of experience in building and deploying Cloud and AI solutions on commercial and/or government public cloud infrastructure with deep expertise in JavaScript and Python development. This role requires a proven track record in building full-stack applications, creating API integrations with external LLMs, and deploying solutions in cloud environments.

What You'll Be Doing:

  • Design and develop full-stack applications using JavaScript/TypeScript for frontend and middleware components
  • Implement Python-based services for API integrations with LLM providers outside our data centers
  • Architect and deploy scalable SaaS solutions across commercial and government cloud environments
  • Create robust system designs following established design patterns and best practices
  • Develop comprehensive data models including class and sequence diagrams
  • Implement high-quality testing frameworks across unit, integration, and end-to-end testing

What You'll Need:

  • 12+ years of experience in cloud solutions development
  • Expert-level proficiency in JavaScript/TypeScript for full-stack development
  • Advanced Python skills for backend services and LLM API integrations
  • Strong background in system design principles and implementation
  • Experience with design patterns in both OOP and functional programming
  • Expertise in data modeling (class diagrams, sequence modeling, etc.)
  • Proven experience with REST APIs and API gateway patterns
  • Experience with frontend frameworks (React, Angular)
  • Knowledge of containerization, microservices architecture, and Kubernetes
  • Familiarity with CI/CD pipelines and DevOps practices

Nice to Have:

  • Experience with RAG (Retrieval-Augmented Generation) implementation
  • Experience with cloud certifications (Azure preferred, AWS, GCP)
  • Background in working with GenAI/LLM technologies
  • Knowledge of Linux system internals
  • Understanding of networking and storage protocols

The Impact You Will Have:

Your work will directly contribute to delivering cutting-edge cloud and AI solutions to our diverse customer base while playing a key role in Synopsys' technological innovation journey.

The Team You'll Be a Part Of:You'll join our Cloud R&D team responsible for architecting, developing, and deploying the innovative solutions, services, and the entire eco-system to enable our customers to buy, monitor, and run our software products on the cloud.

Compensation and Benefits: We offer a competitive salary and benefits package, which will be discussed during the interview process.

Inclusion and Diversity: Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

#LI-DNI


At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.


In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.


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