We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have experience building distributed systems that need to perform under real-world conditions, where architectural decisions made early determine whether a platform scales gracefully or buckles under load. You understand that writing code is only part of the work. The harder part is designing services that remain maintainable as requirements evolve, teams grow, and the product matures. You are an engineer who thinks through data models before writing the code, who considers failure modes during design reviews, and who knows that the best solutions often come from understanding the problem deeply before reaching for a framework.

What excites you is working on technology that matters, not just another CRUD application, but systems that enable the next generation of AI processors, autonomous vehicles, and smart devices that will define the next decade. At Synopsys, you will build cloud-native platforms that power semiconductor lifecycle analytics, giving engineering teams the tools to bring cutting-edge silicon from concept to production. You will work with modern technologies, collaborate with engineers across multiple countries, and solve problems at the intersection of distributed systems, data engineering, and product development. The technical challenges are substantial, the impact is real, and the work directly contributes to innovations that are reshaping industries.

What You'll Be Doing

• Design and build features across backend services in Java/Spring Boot
  
• Contribute to technical architecture decisions for cloud-native applications running on AWS, Azure, or GCP, including service design, API contracts, and data modeling
  
• Collaborate with Product Owners and cross-functional engineering teams to translate product requirements into scalable, maintainable solutions
  
• Develop and maintain robust services backed by SQL and NoSQL databases including MongoDB, Cassandra, and ElasticSearch
  
• Participate in code reviews, technical design discussions, sprint planning, and estimation sessions to ensure quality and alignment across the team
  
• Troubleshoot and resolve production issues, working across the stack to diagnose root causes and implement long-term fixes
  
• Mentor engineers on the team, sharing knowledge on architecture patterns, coding practices, and cloud platform best practices

The Impact You Will Have

• Deliver features that power analytics platforms used by semiconductor companies building AI-driven systems and next-generation silicon
  
• Shape the technical foundation of a cloud-native product that scales globally and supports critical workflows for customers
  
• Improve platform reliability and performance, directly affecting uptime and user experience for engineering teams relying on the system
  
• Accelerate team velocity by contributing to architecture decisions that reduce technical debt and make future development easier
  
• Elevate engineering standards across the team through mentorship, code quality advocacy, and thoughtful design reviews
  
• Enable faster time-to-market for new capabilities by building reusable services and components that other teams can leverage
  
• Help define best practices for cloud deployment, CI/CD pipelines, and production operations that improve how the entire team ships software
  
• Design and deliver the backend services and data APIs that power our Angular-based reporting experience, enabling rich and scalable insights for our users

What You'll Need

• 5+ years of hands-on experience building production software in Java, with deep understanding of software architecture, algorithms, and data structures
  
• Strong proficiency with Spring framework, particularly Spring Boot, and experience designing and implementing RESTful APIs
  
• Proven experience building and deploying cloud-native applications on AWS, Azure, or GCP, including container orchestration with Docker and Kubernetes
  
• Solid working knowledge of both SQL and NoSQL databases, with hands-on experience using at least one of MongoDB, Cassandra, or ElasticSearch in production
  
• Familiarity with Agile development practices and CI/CD tooling, you have worked in iterative environments and know how to ship incrementally
  
• Strong English communication skills, both written and verbal, you can explain technical trade-offs clearly to engineers and non-engineers alike

The Team You'll Be Part Of

You will join an international, cross-site engineering team building cloud-based analytics platforms that support semiconductor lifecycle management. The team works across backend services, frontend interfaces, and cloud infrastructure, collaborating closely with Product Owners and other engineering groups at Synopsys. The work spans the full product lifecycle, from architecture and design through deployment and production support, and the team values technical depth, collaboration, and continuous improvement.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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.