Cloud Deployment Engineer (ML Software)

location
Remote
job type
Permanent
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You’ll play a pivotal role in deploying our software as a SaaS solution on customer cloud infrastructure (AWS, Azure, GCP) or on-premise (HPC, VM). Your work directly contributes to customer satisfaction and long-term platform adoption.

We’re looking for a Customer Deployment Engineer to lead and oversee the technical onboarding and integration of our platform in enterprise environments.

What you will do

  • Lead Deployments: Design and implement robust deployment architectures that align with customer IT environments and business goals.
  • Architect Solutions: Assess customer needs and tailor scalable cloud/hybrid/on-premise deployments using Kubernetes, Docker, and cloud-native tooling.
  • Customer Engagement: Act as a technical point of contact for customers throughout the deployment process, from architecture to troubleshooting.
  • Security & Compliance: Own the process of responding to IT and security questionnaires. Ensure compliance with enterprise security and privacy requirements.
  • Collaboration & Feedback: Work closely with internal teams (product, R&D, platform) to continuously improve deployment processes and modularity.
  • Documentation & Enablement: Produce high-quality documentation, implementation guides, and internal playbooks.

This is a highly customer-facing role. We value engineers who are not only technically capable but also excellent communicators, proactive problem-solvers, and trusted advisors to our customers.

Who you are

  • Education: Advanced degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Experience: at least 4 years of hands-on experience deploying enterprise software in cloud and/or HPC environments.
  • Mandatory Technical Skills: Strong background in Kubernetes, Docker, and/or Singularity, with production experience.
  • Customer-facing Skills: Experience working directly with customers to scope, deploy, and maintain infrastructure.
  • Cloud Platforms: Proficient with AWS, Azure, or GCP, including security and networking fundamentals.
  • Tools: Familiar with Terraform, OAuth2, SAML, Slurm, PBS, and monitoring tools like Prometheus and Grafana.
  • Mindset: A proactive communicator and strategic thinker who thrives in dynamic, interdisciplinary teams.

What you will get

  • A competitive salary - we are growing fast and want our employees to benefit from this growth.
  • Work with a world-class technology team - our engineers are top-notch!
  • Global Exposure – You will work with leading companies and researchers worldwide
  • Ongoing training in technologies
  • Work with people who care about you - we support each other and care about you so that you can thrive.
  • Hybrid work options and flexible schedules to support work-life balance.

And important

  • Start Date: ASAP
  • Location: Remote, Zurich or Lausanne (Switzelrland) or Pune (India)

At Neural Concept, we value passion, creativity, and the willingness to learn. If you don’t meet every single qualification but believe you’re a great fit, we encourage you to apply.