ClearML

Solutions Architect

ClearML

full-time

Posted on:

Location Type: Remote

Location: Germany

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About the role

  • Engage with enterprise customers to understand their technical challenges, architecture, and goals.
  • Design and implement scalable, secure, and efficient ClearML-based solutions on Kubernetes and cloud/hybrid environments.
  • Lead technical workshops, proofs of concept (POCs), and architecture reviews.
  • Present complex technical concepts in a simple, business-oriented manner.
  • Collaborate closely with Product, Engineering, and Customer Success teams to ensure successful adoption and expansion.
  • Provide guidance and best practices for deploying AI workloads on Kubernetes clusters.
  • Troubleshoot customer environments and provide hands-on support during deployment and onboarding.
  • Contribute to documentation, solution templates, and reusable technical assets.

Requirements

  • Strong Hands-on expertise in Kubernetes — deep understanding of architecture, scaling, and operations.
  • Strong communication skills in English, both written and verbal — able to explain complex topics clearly and effectively.
  • Prior experience as a software engineer, DevOps engineer, or MLOps engineer, with the desire to grow into a customer-facing Solutions Architect role.
  • Proven ability to design and deploy solutions in cloud or on-premise environments (AWS, GCP, Azure, or hybrid).
  • Experience with Docker, REST APIs, and Python-based solutions.
  • Comfortable working in a fast-paced, dynamic environment with minimal supervision.
  • Strong presentation skills — able to engage both technical and business audiences.
  • Willingness to work European and U.S. hours as needed for customer collaboration.
  • Team player with a proactive attitude and strong sense of ownership.
  • Preferred Qualifications
  • Experience in AI/ML infrastructure, MLOps, or data engineering.
  • Familiarity with distributed systems, model training workflows, or inference serving.
  • Previous experience in pre-sales, customer success, or technical consulting roles.
Benefits
  • 🌍 **Fully Remote & Global** – Work from anywhere with a distributed team of top-tier engineers.
  • 🛠 **Engineering-First & Autonomous** – High ownership, real responsibility, and freedom to design and ship impactful solutions.
  • 🚀 **High Growth, High Impact** – Your work directly affects thousands of users, from startups to large enterprises.
  • ⚡ **Technically Deep Challenges** – Build complex, performance-critical systems at the core of modern AI infrastructure.
  • 🔁 **Fast Feedback, Real Users** – See your work in production quickly and make a measurable difference.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
KubernetesDockerREST APIsPythonAI workloadscloud environmentson-premise environmentsscalable solutionssecure solutionsefficient solutions
Soft Skills
communication skillspresentation skillsteam playerproactive attitudestrong sense of ownershipability to explain complex topicscollaborationtroubleshootingdocumentationcustomer engagement