🇫🇷 Montigny-le-Bretonneux, France · 23h ago
R&D Engineering, Staff Engineer - DevOps (f/m)
Ansys
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We AreSynopsys 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 AreYou have built and scaled platforms that actually run in production, not proof-of-concepts that look good in slides. You know that Kubernetes is powerful, but also that it can become a mess fast if the design decisions are not made with scale and maintainability in mind.When someone says "we need to deploy this new AI service," you do not just spin up a pod and call it done. You ask about traffic patterns, failure modes, and what happens when this thing needs to scale 10x in six months.What You'll Be DoingPerform complex development activities that may require extensive analysis in areas including cloud deployment and maintenance, as well as distributed system maintenance and scaling Use best practices and evangelize through RFCs and mentoring Help scale our processes (release, development environments, CI/CD pipelines) Root cause investigation, automated release testing, production incident solving Design, deploy, and maintain the platform infrastructure using Kubernetes, Pulumi, and TerraformScale GPU and CPU compute resources to support AI model training and inference workloads that grow unpredictablyBuild monitoring, alerting, and observability tooling that catches issues before customers do, using tools like Prometheus, Grafana, or equivalentThe Impact You Will HaveEnable Engineers to deploy models that reduce simulation time from hours to minutes, directly accelerating product innovation for Synopsys customersScale the platform to handle growing customer demand without degrading performance or reliabilityReduce mean time to recovery during incidents by building better observability and automated remediation into the platformImprove developer velocity by streamlining deployment workflows and eliminating friction in the release processEstablish infrastructure patterns and best practices that the broader engineering team can adopt and scale withPrevent outages before they happen by designing resilient, self-healing systems that degrade gracefully under loadMentor engineers across the organization through RFCs, documentation, and pairing sessions that raise the bar on platform thinkingWhat You'll NeedSoftware development certification 3 years’ experience, including managing complex platforms that leverage the Kubernetes technology Advanced troubleshooting skillsDistributed systems design and operation experience (Kubernetes, Pulumi, NATS, Redis) Proficiency in scripting with Bash and programming in Python or TypeScriptComfort working independently and owning problems end to end, from definition through deployment and monitoringWho You AreYou can explain a complex infrastructure tradeoff to a researcher in two sentences without losing the nuance or talking down to themWhen something breaks in production, you stay calm, gather data, and methodically work the problem instead of guessing and restarting thingsYou care about the "why" behind a request, if someone asks for a new service, you ask what problem they are trying to solve before you start provisioning resourcesYou are curious enough to test new tools and pragmatic enough to know when the old tool is still the right answerYou can work across time zones with a distributed team, which means clear written communication and async collaboration are second nature to youThe Team You'll Be Part OfThe SimAI platform is a SaaS-based platform that brings unprecedented speed, innovation, and accessibility to simulation. It is based on proprietary Deep learning algorithms at the forefront of AI. It empowers users to make faster decisions, faster iterations, and faster innovation. You will collaborate with a team of experts who are, together, building the future of computer-assisted system design.Rewards And BenefitsWe 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.#AnsysJobSourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.