MTS – Infra

Seldon Technologies, Inc; Zürich; Hybrid; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Professional development budget

Home gym or wellness perks

Job summary

Seldon Technologies, Inc. in Zürich seeks an experienced infrastructure engineer to design, build, and scale the research platform.

You will work on cloud compute at scale, implement distributed workflow scheduling, and develop robust recovery procedures while collaborating closely with researchers and engineers to shape the core architecture. You will apply strong Python and Linux skills, plus hands-on cloud experience (AWS or similar) to improve reliability, performance, and cost efficiency.

Qualifications

• Strong Python and Linux skills.
• Experience operating services on AWS or another cloud platform.
• Understanding of distributed systems (queues, timeouts, retries).
• Experience investigating production issues and balancing reliability, cost, and complexity.
• Initiative, principled decision-making, collaborative problem-solving.

Responsibilities

• Build and manage cloud compute infrastructure at scale to support research workloads.
• Handle distributed workflow scheduling, optimizing for performance and cost.
• Handle worker interruptions, application crashes, and recovery procedures with safeguards against duplicate work.
• Improve monitoring, logs, and tools for diagnosing failures across the system.

Skills

Python

Linux

AWS or cloud platform

Distributed systems

Production issues troubleshooting

Tools

Terraform

CloudWatch

Prometheus

Grafana

Job description

You’ll design, build, and scale the infrastructure that supports our research, from cloud compute and distributed systems to data storage and experiment orchestration. The work involves improving reliability, performance, and resource efficiency as our workloads grow. You’ll collaborate with researchers and engineers to develop new capabilities and shape the underlying architecture.

What you’ll work on

• Build and manage cloud compute infrastructure at scale to support research workloads.
• Handle distributed workflow scheduling, optimizing for performance and cost
• Handle worker interruptions, application crashes, and partial results with recovery procedures and safeguards against duplicate work.
• Improve monitoring, logs, and tools for diagnosing failures across the system.

What you’ll bring

• Strong Python and Linux skills, including scripting, process management, and debugging.
• Experience operating services on AWS or another cloud platform, including compute, storage, networking, and access management.
• An understanding of distributed systems, including queues, timeouts, retries, and handling duplicate requests.
• Experience investigating production issues and making practical tradeoffs between reliability, complexity, and cost.
• You take initiative and follow through on your work. You’re principled in your decisions, open about uncertainty, and collaborative in how you solve problems.

Nice to have

• Experience with KVM/QEMU, VM images and snapshots, or automating Windows and desktop applications.
• Familiarity with infrastructure as code using Terraform or similar tools, and monitoring with CloudWatch, Prometheus, or Grafana.
• Work on batch scheduling, experiment orchestration, or isolation for executing untrusted code.
• Comprehensive health, dental, and vision coverage.
• Visa sponsorship and relocation support.
• A professional development budget, the best AI tools, GPUs, a Mac, and the subscriptions you need.
• Team off-sites and conference attendance.
• Support with transportation costs.
• Gym membership and sports club subscriptions to support your wellbeing.
• A food stipend with nearly full meal coverage.