Software Engineering, Staff Engineer

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’re the kind of engineer who enjoys building software that solves real problems and performs reliably in production. You take pride in creating systems that are scalable, thoughtfully designed and built to last. You naturally think beyond the code you write, considering how services fit together and how design decisions impact the broader platform. You value clean architecture, continuous improvement and building solutions that are simple, maintainable and able to evolve as products and teams grow.

You thrive in collaborative environments where ownership is encouraged, ideas are openly shared and learning is part of everyday work. When challenges arise, your first instinct is curiosity. You ask thoughtful questions, explore different approaches and work methodically to deliver practical, high-quality solutions. You understand that great software is built through strong communication, teamwork and sound engineering judgement. You’re excited by the opportunities AI is creating for software development and enjoy exploring how modern tools can improve developer productivity and simplify complex workflows.

At the same time, you recognize that strong engineering principles and thoughtful design remain the foundation of software built to last. Above all, you’re motivated by building technology that delivers real value and making a meaningful contribution to your team through reliable, scalable and well-crafted software.

• Design and deliver backend services and REST APIs that automate enterprise storage and infrastructure workflows.
• Build orchestration layers that integrate storage platforms with internal systems, ensuring reliability through retries, idempotency and resilient failure recovery.
• Develop, deploy and maintain containerized applications on Kubernetes using modern deployment strategies and environment-specific configurations.
• Build and maintain CI/CD pipelines that support automated testing, security validation and reliable software releases.
• Enhance system observability by implementing metrics, structured logging and distributed tracing to enable proactive monitoring and faster incident resolution.
• Develop AI-assisted operational workflows using LLMs and intelligent tooling to streamline troubleshooting, recommend remediation and reduce manual effort.

• Reduce manual effort by transforming repetitive storage and infrastructure tasks into scalable, automated workflows and self-service capabilities.
• Improve platform reliability and availability by designing resilient systems that recover quickly and surface issues before they impact users.
• Accelerate infrastructure delivery through repeatable CI/CD pipelines and Kubernetes-native deployment practices.
• Improve operational visibility by enhancing observability with meaningful metrics, logs and distributed tracing.
• Increase the scalability of enterprise storage operations by standardizing automation and orchestration across global environments.
• Help shape the future of AI-assisted operations by introducing secure, auditable and practical AI-driven workflows that improve engineering productivity.

• Strong Python software engineering skills with the ability to write clean, maintainable and well-tested code.
• Experience building and supporting production-grade backend services and REST APIs with a focus on reliability, performance and security.
• Experience working with Git-based development workflows, code reviews and CI/CD practices that enable safe, repeatable software delivery.
• Hands-on experience deploying and operating containerized applications in Kubernetes with confidence troubleshooting across the application stack.
• A solid understanding of Linux environments, networking…