Related skills
terraform aws python kubernetes ci/cd📋 Description
- Own evolution of our cloud-native ML platform.
- Scale Kubeflow, Feast, and Spark-on-Kubernetes infra.
- Build internal tools and APIs for self-service ML lifecycles.
- Standardize ML engineering with CI/CD, versioning, testing.
- Drive MLOps and LLMOps lifecycle automation.
- Collaborate with Infra and Data squads on governance.
- Promote wellbeing and an inclusive culture.
🎯 Requirements
- Kubeflow, Spark, Kubernetes, AWS experience.
- Python for reusable libraries and APIs.
- CI/CD, IaC (Terraform/Crossplane), observability.
- ML/LLMOps deployment framework experience.
- Data catalog and governance integration helpful.
- DX-focused mindset and strong collaboration.
🎁 Benefits
- Flexible benefits and home-office setup.
- Hybrid and remote options with home office stipend.
- Healthcare incl. health, dental, life insurance.
- Paid time off and parental leave.
- Career growth and continuous learning.
- Culture of trust and wellbeing.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!