Senior ML SRE: Scalable Infra & MLOps Leader

helloprima; Milano; In loco; EUR 90.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private healthcare

Gym discounts

Wellbeing programs

Mental health support

Descrizione del lavoro

Prima is seeking a Senior Machine Learning Site Reliability Engineer to join the Infrastructure team in Milan. You will design and operate reliable, scalable systems, define SLOs/SLIs, and collaborate with software engineers to improve reliability.

You will drive automation, incident response, and blameless post-incident reviews, while optimizing performance, capacity, and security with a strong focus on Python, PySpark, and MLOps lifecycles.

Competenze

• Experience with SRE practices in production, strong AWS, Kubernetes, networking, DNS, and Infrastructure as Code (Pulumi preferred, Terraform a plus).
• Strong software engineering with Python, PySpark, testing, packaging; experience with MLOps model registries, versioning, retraining workflows, and end-to-end deployment lifecycles.
• Lead incident response, RCAs, and mentor stakeholders to improve reliability and operations.

Mansioni

• Hands-on Reliability & System Engineering: design, build, and operate reliable, scalable systems; define and monitor SLOs/SLIs; collaborate with software engineers.
• Automation, Operations & Incident Response: develop automation for infra/operational workflows; lead incidents; drive blameless post-incident reviews.
• Performance, Capacity & Security: analyze performance and cost; provide data-driven recommendations; support security best practices.

Conoscenze

SRE practices

AWS

Kubernetes

Networking & DNS

Python proficiency

PySpark

MLOps concepts

Code quality & maintainability

Strumenti

Pulumi

Terraform

Datadog

RabbitMQ

Kafka

PostgreSQL

Redis

Rust

Elixir

Descrizione del lavoro

Prima is seeking a Senior Machine Learning Site Reliability Engineer to join the Infrastructure team in Milan. You will design and operate reliable, scalable systems, define SLOs/SLIs, and collaborate with software engineers to improve reliability.

You will drive automation, incident response, and blameless post-incident reviews, while optimizing performance, capacity, and security with a strong focus on Python, PySpark, and MLOps lifecycles.