Lead Platform Engineer - Core & MLOps (Remote)

Jobgether SRL

Schweiz

Remote

CHF 140,000 - 200,000

Full time

8 days ago
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Benefits offered by this job

Fully remote
Flexible hours
Global engineering community

Job summary

Jobgether SRL is seeking a Staff Engineer (Core & MLOps) based in Switzerland to shape foundational infrastructure for large-scale web data products. You will own architecture for control planes, enable AI-driven workflows, and drive reliability across multi-cloud environments using Kubernetes, Kafka, Java, Python, and gRPC.

You will lead multi‑cluster routing, deployment pipelines, and service contracts, while mentoring engineers and setting platform standards in a globally distributed,

Qualifications

  • 10+ years building scalable distributed backend systems.
  • Advanced Java with reactive frameworks and Python proficiency.
  • Deep experience with gRPC and Protocol Buffers.
  • Hands-on Kubernetes, Terraform, Kafka at scale.
  • Experience designing telemetry pipelines and reliability practices.
  • Strong writing and cross-team communication.

Responsibilities

  • Architect and evolve core control and context planes for scalable services.
  • Own service chassis, multi-language client libraries, and deployment pipelines.
  • Define inter-service contracts and API gateway standards.
  • Operate core platform infra including Kubernetes, Kafka, and real-time pipelines.
  • Lead architectural strategy through RFDs and platform initiatives.
  • Establish reliability engineering practices and incident post-mortems.
  • Mentor engineers and drive consistent engineering practices across teams.

Skills

Java
Python
Kubernetes
gRPC
Protocol Buffers
Terraform
Kafka
MLOps
Software architecture

Tools

Helm
CI/CD pipelines

Job description

Jobgether SRL is seeking a Staff Engineer (Core & MLOps) based in Switzerland to shape foundational infrastructure for large-scale web data products. You will own architecture for control planes, enable AI-driven workflows, and drive reliability across multi-cloud environments using Kubernetes, Kafka, Java, Python, and gRPC.

You will lead multi‑cluster routing, deployment pipelines, and service contracts, while mentoring engineers and setting platform standards in a globally distributed,

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