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R&D Engineering, Staff Engineer - DevOps (f/m)

Synopsys -
Montigny-le-Bretonneux (78)

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Détails de l'emploi

Qualifications

Kubernetes
Bash
Systèmes distribués
Terraform
Scripting
Développement logiciel
Python
Shell scripting

Description complète du poste

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 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 Doing

Perform 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 Terraform
Scale GPU and CPU compute resources to support AI model training and inference workloads that grow unpredictably
Build monitoring, alerting, and observability tooling that catches issues before customers do, using tools like Prometheus, Grafana, or equivalent

The Impact You Will Have

Enable Engineers to deploy models that reduce simulation time from hours to minutes, directly accelerating product innovation for Synopsys customers
Scale the platform to handle growing customer demand without degrading performance or reliability
Reduce mean time to recovery during incidents by building better observability and automated remediation into the platform
Improve developer velocity by streamlining deployment workflows and eliminating friction in the release process
Establish infrastructure patterns and best practices that the broader engineering team can adopt and scale with
Prevent outages before they happen by designing resilient, self-healing systems that degrade gracefully under load
Mentor engineers across the organization through RFCs, documentation, and pairing sessions that raise the bar on platform thinking

What You'll Need

Software development certification
3 years’ experience, including managing complex platforms that leverage the Kubernetes technology
Advanced troubleshooting skills
Distributed systems design and operation experience (Kubernetes, Pulumi, NATS, Redis)
Proficiency in scripting with Bash and programming in Python or TypeScript
Comfort working independently and owning problems end to end, from definition through deployment and monitoring

Who You Are

You can explain a complex infrastructure tradeoff to a researcher in two sentences without losing the nuance or talking down to them
When something breaks in production, you stay calm, gather data, and methodically work the problem instead of guessing and restarting things
You 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 resources
You are curious enough to test new tools and pragmatic enough to know when the old tool is still the right answer
You can work across time zones with a distributed team, which means clear written communication and async collaboration are second nature to you

The Team You'll Be Part Of

The 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 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.

#AnsysJob

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python platform engineer devops emplois - paris, a8

R&D Engineering, Staff Engineer - DevOps (f/m)

Senior MLOps Engineer

Senior SRE

Senior Site Reliability Engineer (SRE)

Senior Application Security Engineer

Senior Data Architect

Senior Sales Engineer - Majors (France)

Consultant Senior H/F - Cloud Architect Expert GCP

Tech Lead Data & Analytics (Snowflake, dbt, Tableau) F/M/X

Data Engineer GCP H/F

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