# Solution Architect - Senior Staff Engineer **Company**: Synopsys **Location**: Pune **Work arrangement**: onsite **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Ticker**: SNPS **Wikidata**: https://www.wikidata.org/wiki/Q2303478 **Apply**: https://careers.synopsys.com/job/pune/solution-architect-senior-staff-engineer/44408/95970268976?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_97846b52-245 ## Description Engineer the Future with Us We currently have 724 open roles ## Innovation Starts Here Find Jobs For Where?When autocomplete results are available use up and down arrows to review and enter to select. Touch device users, explore by touch or with swipe gestures. ## Solution Architect - Senior Staff Engineer Pune, Maharashtra, India Save ## Job Details **Hire Type** Employee **Job ID** 17560 **Date posted** 06/03/2026 ## What You'll Be Doing Architect and lead development of scalable, cloud-native application platforms that integrate Ansys simulation technologies with modern web, API, and AI capabilities, owning decisions across frontend, backend, data layers, and infrastructure Design and implement end-to-end DevOps frameworks using infrastructure as code, CI/CD pipelines, Docker, and Kubernetes to enable automated, repeatable, and reliable deployments Develop and integrate Python-based services and PyAnsys into distributed, service-oriented architectures that enable advanced automation and simulation-driven workflows Lead MLOps adoption by building model packaging, deployment, monitoring, and lifecycle management workflows that bring AI into engineering tools without breaking production Establish observability best practices including logging, monitoring, alerting, and performance tuning across distributed systems and ML services Partner with customers, internal engineering teams, and product development to define solution architectures, validate new capabilities, and influence long-term technology roadmaps Mentor engineers on full stack development, DevOps, MLOps, and architectural best practices while leading strategic initiatives and reusable platform frameworks ## The Impact You Will Have Enable engineering teams to run simulation workflows at scale with platforms that are secure, maintainable, and built for production, not just proof of concept Accelerate customer innovation by integrating AI and ML capabilities directly into engineering workflows, reducing manual effort and increasing delivery velocity Shape how Ansys simulation technologies are deployed and consumed in cloud-native, containerized environments across diverse customer use cases Reduce deployment friction and operational risk by establishing automated CI/CD pipelines and infrastructure as code practices that teams can rely on Influence product strategy by translating real customer challenges into technical requirements that drive platform evolution and new capabilities Build reusable frameworks and architectural patterns that raise the bar for how application platforms are designed and delivered across the organization Create a culture of technical excellence by mentoring engineers, sharing knowledge through workshops and content, and demonstrating what good looks like in practice ## What You'll Need Bachelor's degree, Master's, or PhD in Mechanical, Chemical, Aerospace, or Electrical Engineering, Computer Science, Mathematics, or a related field Required minimum years of professional experience in an engineering software environment: BS+12, MS+10, or PhD+7 Proven track record designing and leading development of scalable, production-grade web applications across frontend, backend, and API layers Strong hands-on expertise in cloud-native architectures including Docker, Kubernetes, and CI/CD pipelines, with demonstrated implementation of DevOps practices like infrastructure as code and automated deployments Strong proficiency in Python for building services, automation scripts, and integrating with scientific or engineering libraries is a strong plus Practical experience with MLOps workflows including model integration, lifecycle management, reproducibility, and production deployment of ML services Experience working in cross-functional, customer-facing environments where you translated business and engineering requirements into scalable technical solutions ## Who You Are You can walk into a room with a customer engineering team, listen to their workflow pain points, and walk out with an architecture sketch that solves the real problem without overengineering it You debug with purpose, whether it is a Kubernetes networking issue, a slow API endpoint, or a model deployment that fails silently, you know how to isolate the problem and fix it without creating three new ones You mentor by showing, not telling, pairing with engineers to work through a tough architectural decision or a tricky CI/CD pipeline setup, and leaving them better equipped to handle the next one You push back when something does not make sense, whether it is a deployment strategy that ignores security, an architecture that will not scale, or a timeline that skips observability You communicate across contexts, explaining a complex tradeoff to a VP in two sentences, walking a junior engineer through a design pattern, or writing documentation that someone will actually read six months from now You stay current without chasing hype, you know which tools and practices are ready for production and which ones are still too early, and you make decisions that balance innovation with reliability ## The Team You'll Be Part Of You will join the Ansys Customer Excellence team, working at the intersection of engineering simulation, modern software platforms, and AI-enabled solutions. This is a technical leadership role where you will collaborate with customers, internal product teams, and engineers across geographies to shape how simulation technologies are integrated into scalable, cloud-native platforms. Your recruiter will share more about the team structure, current initiatives, and collaboration model during the interview process. ## 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. ## Skills ### Required - Cloud-native architectures - Docker - Kubernetes - CI/CD pipelines - Infrastructure as code - DevOps - Python - PyAnsys - MLOps - Model integration - Lifecycle management - Reproducibility - Production deployment --- Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/pune/solution-architect-senior-staff-engineer/44408/95970268976?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)