Senior ML Platform Engineer – Real-Time Pipelines & Scale

super; España; On-site; EUR 80,000 - 110,000; Full time

Benefits offered by this job

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

Super Technologies is seeking a Senior Backend Engineer to join the ML Platform squad and build a brand-new platform powering ML experiments, deployment, and monitoring for multiple engineering teams across Europe. You will design scalable APIs, own data pipelines, and mentor juniors while shaping the ML roadmap.

You will collaborate with ML engineers, data scientists, and product teams to deliver secure, high‑performance services that scale with our growth across regions.

Qualifications

• 7+ years of professional experience as a Backend Engineer or similar role.
• Strong programming skills in Python.
• Proven experience designing and building distributed systems and APIs at scale.
• Hands-on experience with real-time data processing frameworks (Kafka, Flink, Spark Streaming, Pulsar).
• Experience with cloud platforms (AWS, GCP, Azure) and containerisation/orchestration (Docker, Kubernetes).
• Strong understanding of data modelling, storage systems, and streaming/processing architectures.
• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Familiarity with ML model lifecycle management (training, deployment, monitoring).
• Excellent collaboration and communication skills, cross-functional.

Responsibilities

• Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring.
• Re-architect and rebuild data pipelines to handle real-time data processing for production ML models.
• Develop tools to help ML engineers design, test, and deploy ML pipelines.
• Ensure platform services are robust, secure, and high-performance.
• Collaborate with ML engineers, data scientists, and product teams to translate needs into platform capabilities.
• Drive adoption of ML best practices and promote tool reusability across teams.
• Contribute to architecture and vision of the ML platform to scale with growth.
• Mentor junior engineers and foster knowledge sharing.

Skills

Python

Distributed systems

Real-time data processing

AWS

GCP

Azure

Docker

Kubernetes

Kafka

Flink

Spark Streaming

Pulsar

MLflow

ZenML

Metaflow

Data modelling

Storage systems

Education

Tools

Kafka

Flink

Spark Streaming

Pulsar

AWS

GCP

Azure

Docker

Kubernetes

MLflow

ZenML

Metaflow

Job description

Super Technologies is seeking a Senior Backend Engineer to join the ML Platform squad and build a brand-new platform powering ML experiments, deployment, and monitoring for multiple engineering teams across Europe. You will design scalable APIs, own data pipelines, and mentor juniors while shaping the ML roadmap.

You will collaborate with ML engineers, data scientists, and product teams to deliver secure, high‑performance services that scale with our growth across regions.