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Podman

Cloud Computing and DevOps

Podman is an open-source, daemonless container engine developed primarily by Red Hat for building, running, and managing OCI-compliant containers, offering a Docker-compatible command-line interface. It is favored by developers and system administrators who want rootless container execution for improved security compared to Docker's daemon-based architecture.

Podman in the job market

Last checked October 28, 2026

Open roles
3

on Career App

Employers
3

hiring for it

Median pay
—

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Open roles requiring Podman (3)

NVIDIA

Senior HPC and LSF Operations Engineer - EDA Infrastructure

NVIDIA

Full-time · $152,000 – $287,500

This role optimizes and operates large-scale job scheduling systems (LSF, Slurm) that power EDA compute infrastructure across multiple sites, combining day-to-day operational management with improvements to observability, automation, and reliability. It suits experienced Linux systems engineers who enjoy solving complex infrastructure problems and working cross-functionally to translate technical decisions for non-technical stakeholders.

Listed on NVIDIA’s careers site · Apply there ↗

Senior Linux DevOps Engineer - PCAP

LSEG

A senior DevOps engineer role managing high-performance data pipelines for global capital markets infrastructure, requiring deep Linux expertise and strong hands-on skills in automation, containerization, and deployment operations. This suits experienced systems engineers who want to combine infrastructure automation with the challenge of handling massive financial data flows.

Listed on LSEG’s careers site · Apply there ↗

Forward Deployed Engineer, RL Environments

Labelbox

Full-time · San Francisco, CA · $140,000 – $200,000

This role owns the design and operationalization of reinforcement learning training environments—the sandboxed systems where AI agents learn and interact. It's ideal for a systems-minded software engineer who understands RL fundamentals and wants to solve high-leverage infrastructure problems at the intersection of ML and DevOps.

Listed on Labelbox’s careers site · Apply there ↗

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