Staff Engineer - Core & MLOps, Remote Platform Architect

Lever, Inc.; Netherlands; Remote; EUR 120,000 - 150,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Global collaboration

Open-source exposure

Job summary

Lever, Inc. is seeking a Staff Engineer (Core & MLOps) based in the Netherlands to lead the design and evolution of our core platform, including service contracts, multi-language client libraries, and scalable infrastructure.

You will drive reliability through SLOs and incident reviews, mentor engineers across squads, and collaborate across a globally distributed, remote-first team on cutting-edge data pipelines, AI tooling, and open-source projects.

Qualifications

• 10+ years building scalable distributed backend systems.
• Advanced Java with reactive frameworks and strong Python skills.
• Deep experience with gRPC and Protocol Buffers and schema evolution.
• Production Kubernetes at scale, Terraform, and Kafka expertise.
• Experience with telemetry pipelines and reliability engineering.

Responsibilities

• Architect and evolve core service planes and API contracts.
• Own the service chassis, client libraries, Helm charts, and deployment pipelines.
• Lead RFDs on orchestration, multi-cluster routing, and failover.
• Establish SLOs/SLIs, fault budgets, and incident post-mortems.
• Mentor engineers across squads and drive engineering best practices.

Skills

Advanced Java

Python

gRPC/Protobuf

Kubernetes

Terraform

Kafka

MLOps

Reliability engineering

Technical writing

Distributed systems

Tools

Temporal

Kubernetes

Terraform

Kafka

SPIRE

Job description

Lever, Inc. is seeking a Staff Engineer (Core & MLOps) based in the Netherlands to lead the design and evolution of our core platform, including service contracts, multi-language client libraries, and scalable infrastructure.

You will drive reliability through SLOs and incident reviews, mentor engineers across squads, and collaborate across a globally distributed, remote-first team on cutting-edge data pipelines, AI tooling, and open-source projects.