Change the future with us.
We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.
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%.
Why you’ll love working for Siemens!
Join our Digital World
At Siemens Digital Industries Operations Software, flexibility is how we work – hybrid, built on trust and autonomy. We build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial operations software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
Our Benefits & Rewards
The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers a wide range of health and wellness benefits to employees
Our Commitment to Equity and Inclusion
We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2025 and Canada’s Top Employers for Young People 2025.
About us.
We share our ideas and champion the people behind them.
Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada.
To learn more about Siemens Canada, visit our website at www.siemens.ca
While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.
# OneOpsSW,
Siemens is committed to creating a diverse
environment and is proud to be an equal opportunity employer. Upon request,
Siemens Canada will provide reasonable accommodation for disabilities to
support participation of candidates in all aspects of the recruitment process.
All qualified applicants will receive consideration for employment.
By submitting personal information to Siemens Canada Limited or its
affiliates, service providers and agents, you consent to our collection, use
and disclosure of such information for the purposes described in our Privacy
Notice available at www.siemens.ca.
Siemens s’engage à créer un environnement diversifié
et est fière d’être un employeur souscrivant au principe de l’égalité d’accès à
l’emploi. Sur demande, Siemens Canada prendra des mesures d’accommodement
raisonnables pour les personnes handicapées, dans le but de soutenir la
participation des candidats dans tous les aspects du processus de recrutement.
Tous les candidats qualifiés seront pris en considération pour ce poste.
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Job ID
516058
Posted since
22-Oct-2026
Organization
Digital Industries
Field of work
Research & Development
Company
Siemens Canada Limited
Experience level
Experienced Professional
Job type
Full-time
Work mode
Hybrid (Remote/Office)
Employment type
Permanent
Location(s)
-
Kitchener - Ontario - Canada
