Software Engineer - MLOps

Tech Stack

Responsibilities

• Own the production runtime for Phare’s ML stack, deploying, serving, and scaling models across inference endpoints and batch/streaming workflows.
• Build progressive delivery pipelines with automated rollouts and rollbacks, managing SLOs for latency and availability.
• Instrument end-to-end observability including metrics, logs, traces, drift, and regression.
• Harden the platform with Terraform, Kubernetes, and CI/CD to ensure reproducible and auditable ML releases.
• Manage model registries and stage gates, design scheduled or event-driven retraining, and enforce RBAC, secrets management, encryption, and audit logs.

Soft Skills

Benefits

• Equity
• Flexible PTO
• Health Insurance
• 401k

Culture

Requirements