Staff Engineer, Core & MLOps — Remote (Spain)

Lever, Inc.; España; A distancia; EUR 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible hours

Open-source exposure

Conference attendance

Global collaboration

Descripción de la vacante

Lever, Inc. in Spain is seeking a Staff Engineer (Core & MLOps) to help shape foundational infrastructure powering large-scale web data products.

You’ll own the architecture of core control and context planes that enable AI-driven workflows to operate reliably across multi-cloud environments. The role blends hands-on architecture with technical leadership, mentoring, and cross-functional alignment across teams.

Formación

• 10+ years of experience building scalable distributed backend systems.
• Strong Java expertise with reactive frameworks (Vert.x or Netty) and Python proficiency.
• Deep experience with gRPC and Protocol Buffers, including schema evolution.
• Hands-on production experience with Kubernetes at scale, Terraform, and Kafka.
• Experience designing automated telemetry pipelines or feature stores to improve systems.

Responsabilidades

• Architect and evolve core control and context planes and service contracts.
• Maintain and improve multi-language client libraries and deployment pipelines.
• Define inter-service contracts, API gateways, and schema evolution standards.
• Operate core platform infrastructure across Kubernetes, Terraform, and Confluent Kafka.
• Lead architectural strategy, RFDs, and reliability engineering practices.
• Mentor engineers and drive cross-team alignment on platform direction.

Conocimientos

Java

Python

gRPC & Protobuf

Kubernetes

Terraform

Reactive Java

SRE & Reliability

Architecture

Technical Writing

MLOps

Remote Collaboration

Herramientas

Helm

Kafka

Envoy/Istio

Descripción del empleo

Lever, Inc. in Spain is seeking a Staff Engineer (Core & MLOps) to help shape foundational infrastructure powering large-scale web data products.

You’ll own the architecture of core control and context planes that enable AI-driven workflows to operate reliably across multi-cloud environments. The role blends hands-on architecture with technical leadership, mentoring, and cross-functional alignment across teams.