About the role: Senior DevOps Engineer - Agentic AI Platform We are seeking a hands-on
Senior DevOps Engineer, to join Digital Industries Operations Software lead the deployment, operation, and scaling of our
Agentic AI platform. The role is strongly oriented toward technical implementation and operation: you will own platform systems end-to-end, from infrastructure and CI/CD to reliability, observability, and the LLM/agent-ops layer that lets agentic developers across the organization build trustworthy, scalable, and measurable systems.
With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
About Siemens Digital Industries Operations Software: It is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations Software includes our product portfolio in manufacturing engineering (COMOS, Tecnomatix, NX CAM, ...) & production operations (Win CC, Scada, PCS 7 / neo, Opcenter, Insights Hub, ...). The portfolio helps organizations across many different industries to improve operational efficiency, reduce costs, and enhance decision-making by providing real-time visibility and control across manufacturing and business processes.
Formula 1 cars, ships, mobile phones, space exploration vehicles, food & beverages, pharmaceuticals and many of the other objects we see in our daily lives are being conceived and produced using our software.
We're redefining the industrial world using data and AI to make production: Agile, Adaptive, Autonomous. Eliminate productivity boundaries for today's and tomorrow's production operation. Join our mission to build the most comprehensive next generation AI-native Industrial Operations Software portfolio as the new operation system for industry in the age of AI. With us you have the chance to now apply AI to where it really matters: In the physical world of an industrial production and engineering of real things.
As part of Siemens Operations Software (OPS-SW), the Technology, Data Fabric & Agentic AI organization provides the technology foundation that enables the next generation of industrial software. Its portfolio includes AI Production & Engineering Systems, Data Fabric, Agentic AI frameworks, connectivity platforms, semantic data models, cloud-native architectures, and industrial AI services that power autonomous, scalable, and intelligent operations across the OPS-SW portfolio.
What will you do? - Deploy, operate, maintain, and support the AgenticAI Developer Platform that centralizes agentic development across the organization.
- Build and operate Kubernetes-based infrastructure - entities, networking, scaling, and GPU scheduling for agent workloads and NVIDIA NeMo / NIM Inference
- Design, implement, and operate CI/CD pipelines and deployment automation for agents, services, prompts, and skills.
- Own the LLM/agent-ops layer: prompt templating, versioning, A/B testing, evaluation of agentic flows, and management of skill primitives.
- Drive monitoring, tracing, and observability for agentic systems and the underlying platform.
- Implement Infrastructure as Code (e.g. via Terraform) for repeatable, governed provisioning and developer self-service.
- Establish IAM, RBAC, governance, and compliance across AI workloads.
- Optimize compute, storage, and inference costs while maintaining performance and reliability.
- Ensure platform reliability, uptime, and scalability.
- Troubleshoot production issues and continuously improve the platform's architecture and operations.
- Collaborate with platform architects, product, data science, and security to deliver a self-service experience aligned with company standards.
What you will bring: - Master's degree or equivalent experience in Computer Science, Robotics, Artificial Intelligence, Software Engineering, Automation Engineering, or a related field
- 4+ years in DevOps and/or backend engineering roles, with strong hands-on delivery (essential).
- Strong Kubernetes experience - entities, networking, operation in production.
- General knowledge of Linux administration, containers, images, and container registries.
- Hands-on Terraform and solid grasp of IaC concepts.
- CI/CD pipeline design, implementation, and operation.
- Monitoring and observability on Kubernetes.
- Concepts of IAM and RBAC.
- Experience with AWS cloud services and cloud-native deployment.
- At least 1 project in DevOps with a focus on LLM operations and/or Agentic AI operations.
- General knowledge of commercial and open-source LLMs and their trade-offs; prompt engineering.
- Agentic orchestration frameworks (LangChain, LangGraph, or similar).
- Agent observability/eval tooling (LangSmith, Langfuse, or similar).
What sets you apart: - Experience operating the NVIDIA AI stack (NeMo, NIM, Triton, Nemotron, NeMo Guardrails) and GPU workloads on Kubernetes.
- Experience with multi-agent systems and large-scale orchestration.
- Knowledge of enterprise AI governance, performance tuning, and security.
- Experience in regulated industries or enterprise platforms.
- Mendix (or comparable low-code) integration / extension experience.
- Industrial / OT background; OPC-UA, MQTT, MES, historians, manufacturing data.
- Enterprise integration experience (SAP, data fabric / streaming (e.g. Kafka)).
- Open-source contributions or published work in the agentic-AI / LLM space.
Salary is commensurate with experience, and ranges between $ 110,000 CAD - $ 160,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10%.
