DevOps/MLOps Engineering Consultant - Office of the CTO

Posted 18 Days Ago
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Kraków, Małopolskie
Hybrid
Senior level
Automotive • Software
Sonatus empowers OEMs to build SDVs as a platform for innovation.
The Role
The role involves architecting, building, and scaling an end-to-end DevOps and MLOps platform, managing CI/CD pipelines, and ensuring efficient AI model serving and monitoring.
Summary Generated by Built In

Join a high-performing team at Sonatus that’s redefining what cars can do in the era of Software-Defined Vehicles (SDV).

At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding.

Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility.

Role Summary:

We are seeking a highly experienced and strategic DevOps Engineering Consultant to architect, build, and scale our end-to-end DevOps platform. In this role, you will be responsible for the full cloud CI/CD pipeline, cloud infrastructure management, and machine learning model lifecycle, from implementing the MLOps framework that enables models to move from experimentation to production with velocity and reliability, to managing the serving infrastructure. You'll leverage deep expertise in DevOps to make critical decisions that span model training, serving, and monitoring. This is a key leadership position for a hands-on engineer who will define our model versioning, production observability, and infrastructure-as-code best practices.

Roles and Responsibilities:
  • Design and build the foundational, end-to-end DevOps and MLOps platform for our Generative AI systems, making critical decisions that span large language model-based systems evaluation, monitoring, and deployment
  • Implement the full DevOps and MLOps framework. You will build the CI/CD/CT (Continuous Integration/Delivery/Training) automation that takes models from experiment to production with velocity and reliability.
  • Deploy, scale, and optimize our model serving infrastructure. You will manage GPU/NPU resources, minimize inference latency, and build robust monitoring to ensure our AI is always fast, accurate, and cost-effective.
  • Create a single, cohesive set of best practices for the entire AI lifecycle. Your work will define how we handle model versioning, infrastructure as code, and production observability in one seamless system.
Requirements:
  • A seasoned engineer with 5+ years of experience building and scaling production-grade cloud services and systems, with a strong focus on DevOps.
  • A "systems thinker" with a demonstrated ability to architect end-to-end solutions and a deep understanding of the full CI/CD pipeline and machine learning lifecycle.
  • Deep proficiency in Python and Infrastructure as Code (e.g., Terraform, Pulumi, etc.).
  • Enforce reproducibility, approvals, audit trails, PII handling, model cards, and policy/compliance (e.g., privacy, evals, guardrails).
  • Hands-on experience with public cloud platforms (GCP, AWS, and/or Azure) and containerization/orchestration (Docker, Kubernetes).
  • Package, version, and deploy software modules and AI models (batch & online) with blue/green or canary rollouts; build feature & model registries, and automate retraining
  • Experience with Pytorch, vLLMs, and GPUs is a plus.
  • Experience with tuning serving stacks (GPU/CPU utilization, batching, quantization).
  • Direct experience building and operationalizing systems for LLMs, especially RAG pipelines, is a plus.
  • Experience with vector databases (e.g., Pinecone, Weaviate) and embedding management from a deployment and scaling perspective is a plus.
Sonatus is a fast-paced and innovative company and are seeking team members who are passionate about making a difference. If you are ready to take your career to the next level, we highly encourage you to apply.
 
To all recruitment agencies: Sonatus, Inc. ("Sonatus") does not accept unsolicited agency resumes. Please do not forward resumes to our careers alias or other Sonatus' employees. Sonatus is not responsible for any fees associated with unsolicited activities.

Top Skills

AWS
Azure
Docker
GCP
Kubeflow
Kubernetes
Mlflow
Pulumi
Python
PyTorch
Terraform
Vertex Ai
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The Company
HQ: Sunnyvale, CA
200 Employees
Year Founded: 2018

What We Do

Sonatus is a global vehicle software company enabling AI-powered, software-defined vehicles through its platform, which is deployed in over 5 million cars, helping automakers continuously improve cost, performance, reliability, and user experience.

Why Work With Us

Working at Sonatus means collaborating with top-tier engineers and industry leaders to shape the future of connected, intelligent mobility. With a dynamic and fast-paced environment, Sonatus offers opportunities for growth, creativity, and making a real impact in the evolution of modern vehicles.

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Sonatus Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Sonatus has a hybrid model for those near our offices, requiring three days in-office per week. Some roles may be fully remote or require five days in-office.

Typical time on-site: 3 days a week
HQSunnyvale, CA
South Korea Office
Germany Office
France Office
Dublin Office
Learn more

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