Senior MLOps Engineer

📋 Description

• Scale the Ecosystem: Kubeflow, Feast, Spark-on-Kubernetes infra for ML/AI.
• Build for Autonomy: internal tools and APIs for self-service ML lifecycles.
• Standardise Engineering Excellence: CI/CD, versioning, testing for ML workflows.
• Seamless Lifecycle Orchestration: ML lifecycle requirements and automated deployment.
• Cross-Squad Collaboration: partner with Infra/Data to integrate ML into data governance.
• Live the mission: foster wellbeing and work-life balance in the team.

🎯 Requirements

• Platform-as-a-Product mindset with focus on DX.
• Collaborative Architect for distributed teams and global standards.
• Pragmatic Innovator for robust, scalable production solutions.
• DevOps for ML/AI: CI/CD, Infrastructure as Code, Observability.
• Kubeflow, Spark, Kubernetes, AWS expertise.
• Python foundations for building reusable libraries and tooling.

🎁 Benefits

• Flexible benefits you can tailor to your needs.
• Free Wellhub Gold+ membership with gym and wellness resources.
• WellZ emotional wellbeing program, therapy sessions.
• Health, dental, and life insurance coverage.
• Hybrid/remote work options with home office stipend.
• Flexible schedule aligned with time zones.