Senior Member of Technical Staff, Infrastructure

Clera; Zürich; On-site; CHF 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Health, dental, and vision

Visa sponsorship

Relocation support

Job summary

Clera is seeking an experienced infrastructure engineer to own cloud compute, storage, and orchestration for AI/ML research workloads in Zürich.

You will design scalable distributed systems, improve reliability, and partner with researchers to shape the architecture.

This full-time on-site role offers competitive compensation, equity, visa sponsorship, relocation support, and strong tooling.

Qualifications

• 5–10+ years of relevant experience operating production infrastructure or services.
• Strong Python and Linux skills, including scripting, process management, and debugging.
• Experience with AWS or another major cloud platform, including compute, storage, networking, and access management.
• Understanding of distributed systems concepts such as queues, timeouts, retries, and idempotency.
• Experience investigating production issues and balancing reliability, complexity, and cost.
• Familiarity with infrastructure-as-code tools such as Terraform and monitoring platforms (CloudWatch, Prometheus, Grafana).
• Experience with virtualization, VM images and snapshots, batch scheduling, or experiment orchestration is a plus.

Responsibilities

• Build and manage cloud compute infrastructure that supports research workloads at scale.
• Design and optimize distributed workflow scheduling for performance and cost efficiency.
• Develop recovery safeguards for worker interruptions, application crashes, and partial results while preventing duplicate work.
• Improve monitoring, logging, and diagnostic tools to help identify and resolve system failures.
• Partner with researchers and engineers to shape infrastructure architecture.

Skills

Python

Linux

AWS

Distributed systems

Terraform

Monitoring

VMs/virtualization

Tools

CloudWatch

Prometheus

Grafana

Job description

About the Role

Join the engineering team at an AI/ML research company to build and scale infrastructure for research workloads. You will own cloud compute, distributed systems, storage, and experiment orchestration, helping improve the platform's reliability, performance, and resource efficiency.

What You'll Do

• Build and manage cloud compute infrastructure that supports research workloads at scale.

• Design and optimize distributed workflow scheduling for performance and cost efficiency.

• Develop recovery safeguards for worker interruptions, application crashes, and partial results while preventing duplicate work.

• Improve monitoring, logging, and diagnostic tools to help identify and resolve system failures.

• Partner with researchers and engineers to develop capabilities and shape infrastructure architecture.

What We're Looking For

• 5 to 10+ years of relevant experience operating production infrastructure or services.

• Strong Python and Linux skills, including scripting, process management, and debugging.

• Experience with AWS or another major cloud platform, including compute, storage, networking, and access management.

• Understanding of distributed systems concepts such as queues, timeouts, retries, and idempotency.

• Experience investigating production issues and balancing reliability, complexity, and cost.

• Familiarity with Terraform or similar infrastructure-as-code tools and monitoring platforms such as CloudWatch, Prometheus, or Grafana.

• Experience with virtualization, VM images and snapshots, desktop application automation, batch scheduling, experiment orchestration, or sandboxing untrusted code is a plus.

Compensation & Benefits

Competitive compensation, equity, health, dental, and vision coverage, plus visa sponsorship and relocation support.

Location

This is a full-time, on-site role in Zürich, Switzerland.